Podcasts about amazon ai

In this episode, the VENDO team breaks down Amazon's AI Seller Assistant and how brands can use it to streamline operations and improve performance. We explore the reports and insights it provides, its personalization capabilities, key limitations, and real use cases that show how AI can support smarter, faster decision-making for sellers. Topics Covered: Amazon AI Seller Assistant (2:13) Specific reports and data AI Seller Assistant provides (5:20) Performance Limitations (8:50) Personalization of AI Seller Assistant (10:50) How AI Seller Assistant has helped (12:40) Use cases (17:00) Speakers: Russell Hsu, Director of Analytic, VENDO Delaney Del Mundo, VP Account Strategy - Amazon & TikTok Shop, VENDO Want to stay up to date on topics like this? Subscribe to our Amazon & Walmart Growth #podcast for bi-weekly episodes every other Thursday! ➡️ YouTube: https://www.youtube.com/channel/UCr2VTsj1X3PRZWE97n-tDbA ➡️ Spotify: https://open.spotify.com/show/4HXz504VRToYzafHcAhzke?si=9d57599ed19e4362 ➡️ Apple: https://podcasts.apple.com/us/podcast/vendo-amazon-walmart-growth-experts/id1512362107

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In this M&A edition of Market Maker, Anthony and Piers break down Medline's potential $5 billion IPO, the biggest of the year, and what it signals for private equity exits and the 2026 deals landscape. They also explore Amazon's bold entry into the AI chip race with Tranium 3, how it stacks up against Nvidia and Google, and what it means for cloud dominance. Plus, OpenAI hits the panic button as Google's Gemini and Anthropic's Claude rapidly gain ground.(00:00) Medline's $5B IPO(08:52) ECM Process(12:45) Bank Rankings Shuffle(20:06) Amazon's AI Chip(28:09) Cloud Wars Heat Up(32:04) OpenAI's Code Red*****Final chance to join our in-person Finance Bootcamp happening in London 15-19 December 2025. Use code BOOT500 at checkout to access a £500 discount as a loyal podcast fan!

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In today's episode, Zoë is joined by WIRED's Leah Feiger to discuss five stories you need to know about this week — from how Amazon is trying to catch up in the AI race, to why Facebook Dating is more popular than ever. Then, they dive into how despite recent reports claiming that DOGE is over, its operatives are still working across federal agencies. Articles mentioned in this episode:  Amazon Has New Frontier AI Models—and a Way for Customers to Build Their Own | WIRED Poems Can Trick AI Into Helping You Make a Nuclear Weapon | WIRED Who the Hell Is Actually Using Facebook Dating? | WIRED Sex Workers Built an ‘Anti-OnlyFans' to Take Control of Their Profits | WIRED DOGE Isn't Dead. Here's What Its Operatives Are Doing Now | WIRED  Join WIRED's best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices

Live from the Amazon Warehouse in Robbinsville, in this episode of The Speed of Culture podcast, Matt Britton speaks with Amanda Doerr, Vice President of Core Shopping at Amazon, for a deep and practical look at how Amazon AI shopping is reshaping the entire buying journey. From the launch of Rufus AI shopping assistant and breakthroughs in AI review summarization to the rise of conversational commerce, voice commerce, and mobile-first e-commerce, Amanda shares how Amazon is solving customer friction and building the foundation for the future of e-commerce 2026.Follow Suzy on Twitter: @AskSuzyBizFollow Amanda Doerr on LinkedInSubscribe to The Speed of Culture on your favorite podcast platform.And if you have a question or suggestions for the show, send us an email at suzy@suzy.com Hosted on Acast. See acast.com/privacy for more information.

Amazon was busted using experimental AI English dubs for the anime 'Banana Fish,' and the results are hilariously awful. After getting called out, Amazon seemingly removed them without much fanfare. AI critics point to these dubs as a reason to avoid using AI for voiceovers, but it's only a matter of time until the technology improves. Watch this podcast episode on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.D/REZZED News covers Pixels, Pop Culture, and the Paranormal! We're an independent, opinionated entertainment news blog covering Video Games, Tech, Comics, Movies, Anime, High Strangeness, and more. As part of Clownfish TV, we strive to be balanced, based, and apolitical. Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

On today's podcast episode, we discuss the three big questions surrounding Amazon in Q3 and beyond: What Amazon's corporate layoffs tell us about how AI is actually affecting the broader job market. Is Amazon's new “Help Me Decide” feature a significant stepping stone toward agentic AI? And could Amazon's AI smart glasses for delivery workers be a Trojan horse for broader smart-glasses adoption? Join Senior Director of Podcasts and host Marcus Johnson, along with Analyst Rachel Wolff. Listen everywhere, and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-behind-numbers-big-3-questions-amazon-ai-jobs-help-decide-delivery-driver-smart-glasses   © 2025 EMARKETER   DG Media Network connects advertisers to rural customers at scale, with 90MM+ reachable shoppers. Our unique reach provides access to hard to reach customers that aren't found in the largest demographic audiences available to marketers.  Leverage our unique first-party data to expand your reach and meet our customers wherever they are with omni-channel solutions designed to engage and measure results with closed-loop, one-to-one data and self-service access.  Our robust media portfolio spans in-store, on-site & off-site tactics across the full funnel. Our platform enables even more ways to add value to shoppers on their purchase journey that drives brand equity and sales growth.  Unique reach, at scale, across 20+ tactics and platforms. That's media built better!  Connect with us to learn more about how DG Media Network is changing omnichannel advertising.

Enshittification. It's fun to say, hard to spell, and a useful descriptor of exactly how the internet has gone wrong. Cory Doctorow, the author and activist who coined the term a few years ago, recently published a book on the subject, called Enshittification: Why Everything Suddenly Got Worse and What to Do About It. He was on Decoder a few weeks ago to explain what happened, and joins The Vergecast this week to help us figure out what to do about it. Can we, as regular people on the internet, help to de-enshittify the place? What responsibility do we have, and what kinds of choices should we be making? Cory has lots of thoughts on whether you can shop your way out of a monopoly, and what it really takes to enact structural change online. Further reading: Cory Doctorow on Decoder Read Cory's book, Enshittification Cory's last Vergecast appearance From Pluralistic: How monopoly enshittified Amazon AI is killing the old web, and the new web struggles to be born FTC files a massive antitrust lawsuit against Amazon Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Wall Street’s main indexes rose overnight, with the S&P 500 and Nasdaq both higher as Kenvue surged on buyout news. Amazon’s $38 billion deal with OpenAI lifted its shares and boosted Nvidia's as well. U.S. Treasuries were mixed amid uncertainty surrounding the government shutdown, while in Europe, equities edged higher as investors assessed a fresh batch of earnings. In commodities, oil prices held steady despite OPEC+ signalling a pause on output hikes. Gold was little changed ahead of key U.S. private payroll data, and iron ore slipped on weaker steel production in China. Back home, Aussie shares are expected to ease ahead of the RBA’s interest rate decision. The content in this podcast is prepared, approved and distributed in Australia by Commonwealth Securities Limited ABN 60 067 254 399 AFSL 238814. The information does not take into account your objectives, financial situation or needs. Consider the appropriateness of the information before acting and if necessary, seek appropriate professional advice.See omnystudio.com/listener for privacy information.

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In this Friday Headline Brief of The Wright Report, Bryan covers Trump's new work requirements for welfare recipients, job losses from the AI revolution, major trade developments with China, new drone defenses for the Pacific, and the growing risks of a satellite disaster in orbit. Work for Welfare Begins: Starting tomorrow, able-bodied adults ages 18 to 65 without dependents must work at least 80 hours a month to receive food aid under Trump's "Triple B Bill." Exemptions include parents of young children and residents in areas with high unemployment. Bryan warns that states managing these programs may soon raise local taxes to offset new administrative costs. AI Cuts Human Jobs: Amazon and other major tech firms are laying off software engineers as AI begins writing code and automating support work. Bryan calls it "a quiet industrial revolution that's going to reshape America's middle class for decades." Trump and Xi Trade Gains and Tensions: China agreed to buy 12 million metric tons of U.S. soybeans this season, with promises to expand purchases later if relations hold steady. But Xi refused to curb Russian oil imports, signaling Beijing's intent to prolong the war in Ukraine. New U.S. Drone System — The X-BAT: A cutting-edge drone platform called the X-BAT can launch vertically, operate without runways, and land itself like a reusable rocket. Bryan calls it "a game-changer for a future war in the Pacific." A Coming Satellite Crisis: With 100,000 satellites expected in orbit by 2030, experts warn of potential collisions and cascading debris — the "Kessler Syndrome." Bryan explains how one accident could take down global communications and cripple modern life. Venezuela Airstrikes Under Review: Trump is considering airstrikes against Venezuelan drug ports and airfields tied to the Cartel de los Soles. Analysts believe the move could topple Nicolás Maduro and restore democracy under opposition leader María Corina Machado. Europe's Migration Backlash: Germany and Sweden face outrage over migrant crime after courts refused to deport rapists from Eritrea. Bryan highlights how "suicidal empathy" — compassion that undermines security — is destabilizing Western nations. Ukraine's Strain and Russia's Weakness: Russia cut interest rates to ease its stagnant economy while Ukraine faces mass draft dodging as 100,000 young men flee to Europe. Trump responded by reducing U.S. troop levels in Romania to refocus on the Pacific and Latin America. Crisis in Mali: Al Qaeda rebels have surrounded Mali's capital as the U.S. orders citizens to evacuate. Bryan warns that Ukraine's secret aid to jihadist groups could backfire and lead to a new Taliban-style regime in West Africa. Listener Mail — The Morality of Espionage: Bryan answers questions about ethics inside the CIA, sharing personal reflections on moral judgment, mentorship, and the gray zones of intelligence work. "And you shall know the truth, and the truth shall make you free." - John 8:32 Keywords: Trump welfare work requirements Triple B Bill, Amazon AI job cuts software layoffs, Trump Xi China soybean trade, X-BAT drone vertical launch defense, Kessler Syndrome satellite collision risk, Venezuela airstrike Cartel de los Soles, Germany Sweden migrant crime backlash, Russia Ukraine draft exodus Romania troops, Mali AQ ISIS rebellion evacuation, CIA morality ethics Bryan Dean Wright

In his 5th appearance on the show, the founder and CEO of Avenue7 Media Jason Boyce comes to hang out with Summer and Scott from his car! That is the commitment and he throws down some super interesting points on where Amazon is and how to keep winning there and he shares one of the most interesting takes on how Walmart can make up ground on Amazon! Enjoy Always Off Brand is always a Laugh & Learn!    Guest: Jason Boyce  LinkedIn: https://www.linkedin.com/in/jasonrboyce/ Company Website: https://avenue7media.com/      FEEDSPOT TOP 10 Retail Podcast! https://podcast.feedspot.com/retail_podcasts/?feedid=5770554&_src=f2_featured_email QUICKFIRE Info:   Website: https://www.quickfirenow.com/ Email the Show: info@quickfirenow.com  Talk to us on Social: Facebook: https://www.facebook.com/quickfireproductions Instagram: https://www.instagram.com/quickfire__/ TikTok: https://www.tiktok.com/@quickfiremarketing LinkedIn : https://www.linkedin.com/company/quickfire-productions-llc/about/ Sports podcast Scott has been doing since 2017, Scott & Tim Sports Show part of Somethin About Nothin:  https://podcasts.apple.com/us/podcast/somethin-about-nothin/id1306950451 HOSTS: Summer Jubelirer has been in digital commerce and marketing for over 17 years. After spending many years working for digital and ecommerce agencies working with multi-million dollar brands and running teams of Account Managers, she is now the Amazon Manager at OLLY PBC.   LinkedIn https://www.linkedin.com/in/summerjubelirer/   Scott Ohsman has been working with brands for over 30 years in retail, online and has launched over 200 brands on Amazon. Mr. Ohsman has been managing brands on Amazon for 19yrs. Owning his own sales and marketing agency in the Pacific NW, is now VP of Digital Commerce for Quickfire LLC. Producer and Co-Host for the top 5 retail podcast, Always Off Brand. He also produces the Brain Driven Brands Podcast featuring leading Consumer Behaviorist Sarah Levinger. Scott has been a featured speaker at national trade shows and has developed distribution strategies for many top brands. LinkedIn https://www.linkedin.com/in/scott-ohsman-861196a6/   Hayley Brucker has been working in retail and with Amazon for years. Hayley has extensive experience in digital advertising, both seller and vendor central on Amazon. Hayley lives in North Carolina.  LinkedIn -https://www.linkedin.com/in/hayley-brucker-1945bb229/   Huge thanks to Cytrus our show theme music “Office Party” available wherever you get your music. Check them out here: Facebook https://www.facebook.com/cytrusmusic Instagram https://www.instagram.com/cytrusmusic/ Twitter https://twitter.com/cytrusmusic SPOTIFY: https://open.spotify.com/artist/6VrNLN6Thj1iUMsiL4Yt5q?si=MeRsjqYfQiafl0f021kHwg APPLE MUSIC https://music.apple.com/us/artist/cytrus/1462321449   “Always Off Brand” is part of the Quickfire Podcast Network and produced by Quickfire LLC.  

In this episode, we dive into how AI is reshaping Amazon store management and the critical importance of focusing on profitability over just top-line revenue. Jerry Vida, Co-founder of Peak ROAS, shares how his agency helps seven- and eight-figure brands scale by leveraging AI to streamline time-consuming tasks like PPC and listing optimization. He explains why a clean ad account structure eliminates wasted ad spend and offers a 90-day profit guarantee for new clients.Topics discussed in this episode:  How focusing on profitability beats chasing top-line revenue.Why PPC optimization and listing updates are the biggest time bandits.Why manual, repetitive tasks hurt business growth and efficiency.How internally built AI agents streamline listing copy and A/B testing.What an aggressive A-B testing schedule does for conversion rates.How restructuring a messy ad account leads to massive profit jumps.What is required for an ideal customer for high-impact changes.Why an ad account restructure redirects up to 70% of wasted spend.How new sellers can use ChatGPT to get up to speed fast.What a 90-day no-risk profit guarantee means for new clients.Links & Resources Website:  https://peakroas.ai/LinkedIn: https://www.linkedin.com/in/jerry-vida-255719126/LinkedIn: https://www.linkedin.com/company/peakroas/Get access to more free resources by visiting the show notes at https://tinyurl.com/mr2rpb9u______________________________________________________ LOVE THE SHOW? HERE ARE THE NEXT STEPS! Follow the podcast to get every bonus episode. Tap follow now and don't miss out! Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/ Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak Partner with us: https://ecommercecoffeebreak.com/podcast-sponsorship/

Shoot us a Text.Episode #1153: Carvana expands its dealership experiment in Dallas, Berkshire Hathaway closes the books on its massive BYD bet, and Amazon steps up its AI game with a chat assistant for advertisers.Show Notes with links:Carvana is making another big move into franchised new-car sales, and this time it's happening in Dallas. The company has agreed to acquire Park Cities Chrysler-Dodge-Jeep-Ram-Fiat, marking its second foray into the world of traditional dealerships.This is Carvana's second franchised dealership after buying Jerry Seiner CDJR in Casa Grande, Arizona, earlier this year.Wood Motor Co. owner Chip Johnson, who sold the Dallas store, said it was simply the right time to sell and Carvana's offer made sense for the future of the dealershipThe deal reflects Carvana's ongoing experiment in blending its digital-first model with the in-person dealership experience.A Carvana spokesperson said: “We are in the very early days of testing as a franchise dealer… and we look forward to continuing to learn as we focus on delivering exceptional customer experiences.”Warren Buffett and Berkshire Hathaway have officially cashed out of their wildly successful bet on Chinese EV maker BYD. After holding the stock for 17 years, Berkshire confirmed it no longer owns a single share.This is the end of a $230 million investment made in 2008 at Charlie Munger's urging, which grew to nearly $9 billion at its peak.BYD shares skyrocketed about 3,890% during Berkshire's ownership, making it one of the firm's most lucrative EV-related plays.Buffett hasn't given a detailed reason for the exit but has voiced concern about geopolitical risks tied to China and Taiwan.On BYD, Buffett told CNBC: “It's an extraordinary company run by an extraordinary person, but I think that we'll find things to do with the money that I'll feel better about.”Amazon is stepping deeper into AI for marketers, rolling out a conversational chat assistant designed to act as a “creative partner” for brands advertising on its platform.The tool lives inside Amazon's Creative Studio and is launching in beta at no cost to advertisers.This is Amazon's first conversational AI ad assistant, built to help with research, brainstorming, storyboarding, and producing display and video ads.The assistant uses Amazon's massive shopper data and Bedrock foundation models like Nova and Anthropic Claude to give marketers campaign-ready assets.It's being pitched as a way to level the playing field, especially for smaller brands without big agency budgets.Amazon's VP Jay Richman said: “This is about more than speed — it's about giving every advertiser and agency access to the kind of strategic, high-quality creative support that once only large brands could afford.”Join Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

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Authors are buzzing over a new discovery in Audible's terms—and it could mean major changes to royalties and transparency. From audiobooks and AI tools to record-breaking sales and hidden fine print, this week's news covers it all. Don't miss your chance to act on limited-time offers and stay ahead of the curve. One overlooked line in KDP could explain everything. Sources: My Kickstarter Campaign - https://dalelinks.com/thefinal3 Daniel Greene: Nail in Audible's coffin - https://www.youtube.com/watch?v=2BJIZA_OpDw&list=PLXCkkWHluK4Cr5gtRbFDrnkix22aFLwQI&index=1&t=2s Convince Audible to revise it's New Royalty Model - https://www.change.org/p/convince-audible-to-revise-it-s-new-royalty-model Jane Friedman's The Bottom Line - https://janefriedman.com/the-bottom-line-janes-publishing-industry-newsletter/ Voices by INAudio - https://www.voicesbyinaudio.com/ Fast Company: Spotify just redesigned the way you'll ‘listen' to audiobooks - https://www.fastcompany.com/91383062/spotify-follow-along Spoken - https://ihave.spoken.press/ Writer Beware: Author Complaints, Conflicts of Interest at Fortis Publishing - https://writerbeware.blog/2025/08/22/author-complaints-conflicts-of-interest-at-fortis-publishing/ ALLi News Podcast: AI-Generated Fake Books Resurface on Amazon - https://selfpublishingadvice.org/podcast-ai-generated-fake-books/ Latest Smashwords Sale Breaks Records - https://www.smashwords.com/about/updates  Tax updates for books sold in Brazil and Romania. - Apple Books for Authors - https://authors.apple.com ALLi: Why Amazon Book Launches Fall Flat—and What to Do Instead: Publishing for Profit with Joe Solari - https://selfpublishingadvice.org/podcast-amazon-book-launches/  Author Nation – https://DaleLinks.com/AuthorNation (affiliate link) ProWritingAid Storyteller's Sale - https://DaleLinks.com/ProWritingAid offer good through August 28, 2025 (affiliate link) Dibbly Summer Sale - https://DaleLinks.com/Dibbly - use SUMMERSALE12 for 12% off - good until September 8, 2025 (affiliate link) Get Authentic Book Reviews - https://GetAuthenticBookReviews.com - $1 sale is good ONLY in August 2025 Booklinker: Fix Your Book Description in Four Steps - https://booklinker.mykajabi.com/Book-description Subscribe to The Self-Publishing Hub - https://TheSelfPublishingHub.com Subscribe to my email newsletter - https://DaleLinks.com/SignUp Join Channel Memberships - https://DaleLinks.com/Memberships Join Me on Discord - https://DaleLinks.com/Discord Check out my main YouTube channel - https://www.youtube.com/@dalelroberts My Books - https://DaleLinks.com/MyBooks Wanna tip me? Visit https://dalelroberts.gumroad.com/coffee.  Where noted, some outbound links financially benefit the channel through affiliate programs. I only endorse programs, products, or services I use and can stand confidently behind. These links do not affect your purchase price and greatly helps to building and growing this channel. Thanks in advance for understanding! - Dale L. Roberts

In this episode, the VENDO team is joined by Andrew Bell, Amazon Lead for NFPA, to explore Amazon Rufus and the future of AI-driven shopping. We unpack the evolution of Rufus, its impact on new brands, and the growing role of inference, visual search, and agentic evaluation. Tune in to learn how brands can adapt and thrive in the next era of intelligent commerce. Topics Covered: Amazon Rufus Context & Evolution (3:00) Does Rufus Affect New Brands? (9:30) The Importance of Inference (10:38) Brands Optimizing for Inference (15:32) AI Shopping (17:06) Lens AI and Visual Search (22:00) Agentic Evaluation (26:19) Speakers: Andrew Bell, Amazon Lead, NFPA Delaney Del Mundo, VP Account Strategy - Amazon & TikTok Shop, VENDO Want to stay up to date on topics like this? Subscribe to our Amazon & Walmart Growth #podcast for bi-weekly episodes every other Thursday! ➡️ YouTube: https://www.youtube.com/channel/UCr2VTsj1X3PRZWE97n-tDbA ➡️ Spotify: https://open.spotify.com/show/4HXz504VRToYzafHcAhzke?si=9d57599ed19e4362 ➡️ Apple: https://podcasts.apple.com/us/podcast/vendo-amazon-walmart-growth-experts/id1512362107

In this episode, Patrick & Emma cover high-level Prime Day observations, what Amazon and The New York Times really get out of their new AI deal, and what Amazon pulling out of Google PLAs means for Amazon, Google, and brands.

Are you ready to elevate your Amazon business and brand?   In this episode of Sharkpreneur, Seth Greene speaks with Norman Farrar, a serial entrepreneur and Amazon expert, who shares powerful strategies for succeeding on Amazon and building a brand that thrives in a competitive market. From utilizing AI tools to enhancing product listings and diversifying sales channels, Norman provides invaluable insights on maximizing efficiency and profitability. With decades of experience, Norman reveals the secrets to building a loyal community and growing your brand beyond Amazon.   Key Takeaways: → Why selling on Amazon has become more challenging than ever.  → How AI is transforming Amazon listings. → Tips for building a strong brand presence on Amazon as a “micro brand.” → Key mistakes to avoid when selling on Amazon, including the dangers of low-cost strategies. → The role of personal branding and authority in building a sustainable business.     Norman Farrar is a visionary entrepreneur who provides online marketing and manages eCommerce solutions for brands. He has worked with Fortune 500 companies, including Coca-Cola, Mercedes-Benz, Microsoft, and 20th Century Fox. Since the early 1990s, Norm has focused on helping entrepreneurs improve their operations and unlock their business potential. Currently, he hosts the popular eCommerce podcast Lunch with Norm and co-hosts The Marketing Misfits.   Connect With Norman: Website Instagram X Facebook Group   Learn more about your ad choices. Visit megaphone.fm/adchoices

Are you ready to elevate your Amazon business and brand?   In this episode of Sharkpreneur, Seth Greene speaks with Norman Farrar, a serial entrepreneur and Amazon expert, who shares powerful strategies for succeeding on Amazon and building a brand that thrives in a competitive market. From utilizing AI tools to enhancing product listings and diversifying sales channels, Norman provides invaluable insights on maximizing efficiency and profitability. With decades of experience, Norman reveals the secrets to building a loyal community and growing your brand beyond Amazon.   Key Takeaways: → Why selling on Amazon has become more challenging than ever.  → How AI is transforming Amazon listings. → Tips for building a strong brand presence on Amazon as a “micro brand.” → Key mistakes to avoid when selling on Amazon, including the dangers of low-cost strategies. → The role of personal branding and authority in building a sustainable business.     Norman Farrar is a visionary entrepreneur who provides online marketing and manages eCommerce solutions for brands. He has worked with Fortune 500 companies, including Coca-Cola, Mercedes-Benz, Microsoft, and 20th Century Fox. Since the early 1990s, Norm has focused on helping entrepreneurs improve their operations and unlock their business potential. Currently, he hosts the popular eCommerce podcast Lunch with Norm and co-hosts The Marketing Misfits.   Connect With Norman: Website Instagram X Facebook Group   Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Cybersecurity Today, host David Shipley covers several key incidents impacting the cybersecurity landscape. Amazon's generative AI coding assistant 'Q' was compromised by a hacker who injected data-wiping code into the tool's GitHub repository. Scattered Spider, a notorious cybercrime group, continues its malware attacks on VMware ESXI hypervisors using advanced social engineering techniques. In a significant enforcement action, global law enforcement dismantled the Black Suit ransomware infrastructure under Operation Checkmate. Lastly, Insurance Giant Allianz Life revealed a data breach affecting its US customer base. Stay tuned to understand the latest threats and protective measures in cybersecurity. 00:00 Introduction and Headlines 00:30 Amazon AI Coding Tool Breach 03:07 Scattered Spider's VMware ESXI Attacks 06:44 Operation Checkmate: Black Suit Ransomware Takedown 08:16 Alliance Life Insurance Data Breach 10:25 Conclusion and Call to Action

First up, Ralph welcomes the co-founders of Doctors Against Genocide, Dr. Karameh Hawash-Kuemmerle and Dr. Nidal Jboor, to discuss their dedication to succeeding where global governments have failed in confronting genocide—particularly the acute genocide in Gaza. Then, Ralph speaks to Marcus Sims, who turns felled and fallen trees into sustainable-harvested lumber with his company Treincarnation. Finally, Ralph has co-written an open letter to Barack Obama, urging him to step up and do his part to fight against Donald Trump.Dr. Karameh Hawash-Kuemmerle is a clinical pediatric neurologist who specializes in traumatic brain injury and epilepsy at Boston Children's Hospital. Dr. Nidal Jboor is a doctor of internal medicine and geriatrics working in Michigan. They are co-founders of Doctors Against Genocide.We think: as American people, we are good people. We don't stand for these crimes. We don't accept that any child, any mother, any father, any elderly in the world will be starved to death—no matter where they are, no matter who they are, no matter who is committing this crime. And we are especially appalled to know that all these crimes are being done in our name, with our tax money. They are cutting the funding from our basic programs here, from our neighborhoods, to send more billions to mass slaughter children. So that's why we're going to DC. We're going to talk to the people who are enabling this. We think they already failed their constituents, they failed their country, they are putting our country on the wrong side of history.Dr. Nidal JboorAnyone who did not call this a genocide yet—and did not demand full accountability for genocide, both for the United States and for Israel—is enabling and allowing this crime to continue further.Dr. Nidal JboorWe are committed to having our eyes open whenever and wherever there is a genocide or there are war crimes, crimes against humanity—no matter who commits them. And it's very important for us to stand with the victims, with the community that is suffering, and never take the side or give a platform for the perpetrators.Dr. Karameh KuemmerleOur focus on the situation in Gaza comes from the simple fact that our country is complicit. And because of that, we actually have the moral obligation and the practical obligation to speak up. So it is not because we think that other genocides are not happening or are not important. We actually think every genocide should never happen. It's anti-human to commit genocide. And we always ask our colleagues to come to us to help uplift the voices of the communities of genocide and hopefully we will have more bandwidth to do a lot more. But the situation in Gaza is unique because there is almost a collusion of all these powerful players to complete this genocide in Gaza and basically oppress every resistance to it. There are many things that make what is happening in Gaza unique—for example, the inability to leave, using food as a weapon, having complete siege on the population, having a major superpower supported by another major superpower bombing a population of two million people in a very small area, constantly, nonstop for two years.Dr. Karameh KuemmerleAll professions have their own specialized civic duties…And I want to tell the listeners that the people who are peace-loving all over the world vastly outnumber, vastly outnumber the warmongers and the cruel and vicious interests that have taken advantage of the situation.Ralph NaderMarcus Sims is the owner of Treincarnation, which creates sustainably-harvested lumber and builds custom furniture from trees felled by storms or removed to make way for development.I think there's a lot of support for what I'm doing, but my work is contrasted to the industrial lumber system, which is “chop them down and cut them up,” a lot of it done by huge machines. So it takes a lot more attention and care to do the kind of work that I'm doing. And of course the finances—as you know, finances play a big part in any kind of industry and how they can manage to make money. So I'm certainly making a living, a good living with what I'm doing. I don't know exactly how we can get from the current system into one that was probably used in the past, where the intelligence of human beings is more engaged and we're not slaves to industrial processes.Marcus SimsNews 7/25/25* This week, Israel shelled the Holy Family Church in Gaza. During the last months of his life, Pope Francis was in constant communication with this church and its pastor, Father Gabriel Romanelli, calling them every single night. Three people were killed in this strike and Father Romanelli was injured, as were other congregants. In a speech after the strike, Pope Leo called for an immediate ceasefire and decried the “barbarity of war,” Reuters reports. He added, "I appeal to the international community to observe humanitarian law and respect the obligation to protect civilians as well as the prohibition of collective punishment, of indiscriminate use of force and forced displacement of the population.” According to the National Catholic Reporter, Pope Leo XIV spoke with Palestinian president Mahmood Abbas following this attack and Israeli Prime Minister Netanyahu called to “express Israel's regret for what he called an accidental attack.”2. In Belgium, the Hind Rajab Foundation – named for the five-year-old girl in Gaza killed along with six of her family members and the paramedics coming to her rescue – reports, “Belgian federal police have arrested and interrogated two Israeli soldiers credibly accused of war crimes in Gaza. The action came in response to an urgent legal complaint filed by the Hind Rajab Foundation and the Global Legal Action Network (GLAN) earlier this week.” The soldiers, who had come to Belgium to attend the Tomorrowland music festival were, “formally interrogated and released. The Belgian Federal Prosecutor's Office has confirmed that a criminal investigation is now underway.”3. In a shameful, undemocratic move, the Executive Committee of the National Education Association has voted to reject the member-approved resolution to boycott materials promulgated by the ADL, Axios reports. This helps keep the ADL entrenched as the arbiter of what is and is not antisemitism, a charge they have weaponized and used as a cudgel again and again to silence any criticism of the state of Israel.4. In New York, disgraced former Governor Andrew Cuomo continues to campaign in his increasingly long-shot independent bid for Mayor of New York City. Recently, Cuomo held a campaign breakfast attended by 450 at the Hampton Synagogue, where he said, “I would wager that in the primary, more than 50% of the Jewish people voted for Mamdani.” If true, this would be a stunning victory not only for Zohran himself but for the pro-Palestine movement, which has been maligned in bad faith as antisemitic. Cuomo added that many younger Jewish voters are, “pro-Palestinian, and they don't consider it being anti-Israel.” This from the Forward.5. Another intra-ethnic cleavage is emerging among voters in New York City – this time, Italian-Americans. While Mamdani visited Uganda, the country of his birth, anti-Zohran Italians rallied in front of his Assembly district office in Queens. The New York Times reports this protest, “ostensibly led by the Italian American Civil Rights League, a group that took its name from but had no apparent ties to a defunct organization founded by [Mafia boss] Joseph A. Colombo Sr,...until recently, when Mr. Colombo's grandson, Anthony E. Colombo Jr….joined the group's board in May.” As the Times notes, this protest was held in response to a, “recently resurfaced social media photo from 2020 showing Mr. Mamdani giving the middle finger to a Columbus statue.” However, a large group of pro-Zohran Italian-American counterprotestors rallied across the street, carrying signs that read “Paisans for Zohran!” and “You Eat Jar Sauce!”6. In Minneapolis, many are drawing parallels between Mamdani and insurgent Democratic Socialist candidate Omar Fateh, who won the Minnesota Democratic-Farmer-Labor Party's endorsement for the mayoralty over incumbent Jacob Frey. Fateh, a state senator, won “at least 60% of the Minneapolis DFL delegate vote Saturday…in the party's first endorsement of a mayoral candidate in 16 years,” per the Minnesota Star Tribune. This endorsement gives Fateh a major boost in his campaign and indicates that the Zohran phenomenon is not confined to New York City.7. Last week, Paramount – one of the largest media conglomerates and parent company of CBS – canceled The Late Show with Stephen Colbert less than 48 hours after Colbert called CBS News's $16 million settlement with Trump a, “big fat bribe,” implying it would help curry favor with the administration regarding the proposed merger between Paramount and Skydance. Incensed, the Writers Guild of America East issued a statement calling on New York State Attorney General Letitia James, to, “launch an investigation into potential wrongdoing at Paramount…[and for]…our elected leaders to hold those responsible to account…demand answers about why this beloved program was canceled and to assure the public that Colbert and his writers were not censored due to their views or the whims of the President.”8. At the same time, CNN reports Paramount's “owner-in-waiting,” David Ellison is in talks to acquire Bari Weiss's publication The Free Press. According to the Financial Times, Weiss is seeking over $200 million for the purchase. However, this goes further than a potential acquisition. Puck reports that if brought in, Weiss would serve as an “ideological guide” for CBS News. This, paired with the recent piece in the Hollywood Reporter stating that Skydance “promised to eliminate all diversity, equity and inclusion initiatives,” at Paramount, gives a fuller picture of the “anti-woke” direction CBS would take under the new leadership. With news Thursday that federal regulators have approved the merger, it seems fair to conclude that these moves mollified the president.9. Turning to Latin America, AP reports the U.S., Venezuela and El Salvador have successfully concluded an intricate tripartite prisoner exchange. This deal includes the release of 10 Americans jailed in Venezuela and 252 Venezuelans held in El Salvador's notorious and dystopian CECOT prison complex. The freed Americans include some who were accused of participating in a U.S.-backed coup attempt against Venezuelan President Nicolás Maduro in 2024 and one who was convicted of a triple homicide in Madrid, according to EL PAÍS. All parties seem satisfied with this agreement, with Secretary of State Marco Rubio saying “Every wrongfully detained American in Venezuela is now free and back in our homeland,” while President Maduro pronounced the occasion “a day of blessings and good news…the perfect day for Venezuela.”10. Finally, prominent British tech writer Ed Zitron is out with “The Hater's Guide To The AI Bubble.” In this piece, Zitron – a noted critic of AI writ large – details tech companies' expenditures on AI as compared to the revenues, and the numbers are stark. Microsoft has reaped $13 billion, with $10 billion from OpenAI, sold at “a heavily discounted rate that essentially only covers costs for operating the servers," while expenditures total $80 billion. Amazon AI revenues In 2025 amount to $5 billion, while capital expenditures total $105 billion. Google AI revenue stands at $7.7 billion, with capital expenditures standing at $75 billion. Meta AI revenue in 2025 is a paltry $2-3 billion. Their capital expenditures: $72 billion. Perhaps most deliciously, while Tesla has spent around $11 billion on AI in 2025, the company “Does Not Appear To Make Money From Generative AI” at all. Hopefully these numbers serve as a wakeup call for companies to stop dumping money down the AI drain, since clearly the immense adverse impact on the environment is not dissuading them.This has been Francesco DeSantis, with In Case You Haven't Heard. Get full access to Ralph Nader Radio Hour at www.ralphnaderradiohour.com/subscribe

ICYMI: Hour Two of ‘Later, with Mo'Kelly' Presents – Thoughts on the new Amazon AI wristband that listens to everything you say AND tips on recycling your old computers and printers for free on ‘Tech Thursday' with regular guest contributor; (author, podcast host, and technology pundit) Marsha Collier…PLUS – Author and journalist, Von Braschler joins the program to help Mo' deal with a rather uncomfortable reoccurring dreams with tips from his latest book, ‘Programming Your Lucid Dreams,' the “step-by-step guide for planning lucid dreams that are vivid, colorful, and personally insightful” - on KFI AM 640…Live everywhere on the iHeartRadio app & YouTube @MrMoKelly

ICYMI: ‘Later, with Mo'Kelly' Presents – Thoughts on the new Amazon AI wristband that listens to everything you say AND tips on recycling your old computers and printers for free on ‘Tech Thursday' with regular guest contributor; (author, podcast host, and technology pundit) Marsha Collier - on KFI AM 640…Live everywhere on the iHeartRadio app & YouTube @MrMoKelly

This show has been flagged as Clean by the host. Hi. My name is Moss Bliss, and this is Hacker Public Radio. This is my 3rd HPR solo podcast, and you can also hear me on mintCast and Full Circle Weekly News most weeks. I watch TV via streaming on a Lenovo ThinkCentre M700 Tiny. I change streams and services using a wireless keyboard, from my recliner across the room. For a couple years, I was using a Logitech K400r, and it worked pretty well. Good keys, nice touchpad, a couple of extra features. It was kind of flimsy though, with lots of flex and keys popping off from time to time -- not so much of a problem as they popped back on well -- and then the plastic on-off slider just wore out. It had a raised strip on the plastic slider which served as something to grab with a nail, and it just eventually wore down. So I went looking for something perhaps a bit sturdier. What I found was a Rii Model K22. The box had some different numbers in addition to that, and the label on the keyboard also had other numbers, but the best way to find it is to look for the K22. It was a solid, mostly metal, keyboard, so I bought it. No flex to speak of, and the keys are made to not pop off. There are some caveats. The volume up-down and mute buttons are part of the touchpad, not physical buttons, and are not lighted. In a dark room, with a black keyboard and touchpad, it can be easy to hit the wrong area of the touchpad. Also, I have yet to get the scroll feature -- supposedly the right side of the touchpad -- to work properly, but most of the time I can scroll with two fingers on the touchpad. Also, and I have no clue why, it sometimes brings up a menu I've never seen before getting this keyboard. Yes, it's pretty easy to make it go away, but still... Unlike the K400r, the K22 has a rechargeable battery built in, and charges via USB-C. Also, the touchpad is significantly larger than that of the K400r. I have had no problems with touchpad's responsiveness, other than the issues already mentioned. I'm not really very good with touchpads, so perhaps I just haven't learned the features. I paid $18 at Walmart for the K400r, although currently on Amazon it is going for $39.89 with a cheaper model for $19.99. The cheaper model has fewer buttons and a few cutbacks on design features. The K400r has a 4.2 star rating, with 67% 5-star and 16% 4-star. The Amazon AI reports, "Customers find the keyboard functional and easy to use. They appreciate its responsive keys and convenient setup. Many find it a good value for the price, lightweight, and convenient to use from the couch. However, opinions differ on the size and touchpad responsiveness." The Logitech is wifi only, but it does come with the ubiquitous Logitech wifi dongle. The Rii K22 is currently $24.99, minus a 15% coupon as of this writing. It has a 3.9 star rating, with 56% 5-star and 15% 4-star. Amazon's AI reports, "Customers find the keyboard works well on all devices and has a responsive touchpad. They appreciate its compact size and good build quality. However, some customers have reported issues with missing keystrokes and keypad malfunctions. There are mixed opinions on the touchpad, battery life, and typing experience." The Rii keyboard can use wifi or Bluetooth easily, and comes with a wifi dongle. While I'm a touch typist, I don't use this keyboard for typing, so I can't comment on its missing keystrokes. I'm sure there are use cases where the Rii K22 would not be the best fit, but for my use, it is a huge step up from the K400r. The build quality and materials alone make it perfect for my use, where I sit in my recliner and use it to maneuver my browser and streams, and then toss it in the corner when I'm done. If you have a need for a wireless keyboard, I hope you will look at the Rii K22. But that's it for me this time. Thank you for listening, and I hope to be back soon.Provide feedback on this episode.

Learn how to approach Amazon Prime day without blowing your budget and hear how you can start to understand the emotions that might be driving your spending.  What are the best ways to take advantage of big sales like Amazon Prime Day but still stay on track with your budget? How can you get a handle on emotional spending and the guilt that comes with it? Hosts Sean Pyles and Elizabeth Ayoola dive into how to approach your budget, whether it's while gearing up for a sale or just in your everyday life. Joined by Jamil Ghani, the Vice President of Amazon Prime, they begin with a discussion of what to expect during Prime Day this year, and how to get the most out of the event, including info about invite-only deals and how AI-powered tools can help you find what you need.  Then, Sean and Elizabeth are joined by listener Catherine, who has questions about getting a handle on her emotional spending tendencies. They discuss what triggers emotional spending and how to recognize patterns of behavior. Plus, they explain different budgeting methods to help bring structure to your spending while still giving you the freedom to treat yourself without feeling guilty.  Want us to review your budget? Fill out this form — completely anonymously if you want — and we might feature your budget in a future segment! https://docs.google.com/forms/d/e/1FAIpQLScK53yAufsc4v5UpghhVfxtk2MoyooHzlSIRBnRxUPl3hKBig/viewform?usp=header  The free NerdWallet app makes it easy to be smarter with your finances because you can track, save and invest your money in one place: https://click.nerdwallet.com/3687710914/smpc In their conversation, the Nerds discuss: Amazon Prime Day 2025, Prime Day shopping tips, best Prime Day deals, Amazon AI shopping tools, Prime Day electronics discounts, Amazon invite-only deals, emotional spending help, budgeting for couples, 50 30 20 budget rule, NerdWallet Smart Money podcast, money guilt solutions, budgeting apps free, impulse spending solutions, coping with financial stress, Amazon savings for students, Prime Day household deals, CamelCamelCamel price tracker, how to stop emotional shopping, financial planning tips, budgeting without a system, money values journaling, Amazon Prime VP interview, Amazon shopping hacks, setting a shopping budget, NerdWallet budgeting advice, Smart Money money questions, financial therapy alternatives, personal finance podcast, how to prioritize spending, budgeting for grad school. To send the Nerds your money questions, call or text the Nerd hotline at 901-730-6373 or email podcast@nerdwallet.com. Like what you hear? Please leave us a review and tell a friend. Learn more about your ad choices. Visit megaphone.fm/adchoices

Walmart and Target announced competing Prime Day sales. There's a new AI tool to optimize your listings in Seller Central, and Amazon is waiving some MCF fees for Walmart orders. These and more buzzing news this week!   ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On YouTube: youtube.com/@Helium10/videos   We're back with another episode of the Weekly Buzz with Helium 10's Principal Brand Evangelist, Carrie Miller. Every week, we cover the latest breaking news in the Amazon, Walmart, and E-commerce space, talk about Helium 10's newest features, and provide a training tip for the week for serious sellers of any level. Walmart, Target announce competing Prime Day sales https://www.retaildive.com/news/walmart-target-competing-amazon-prime-day-summer-sales-events/751328/ Amazon temporarily waives seller fee tied to Walmart orders https://www.supplychaindive.com/news/amazon-mcf-walmart-surcharge-waived/751236/ Amazon Seller Central: Update product listings with new Fix Recommendations tool https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHNU5XTFdHUVNUUzNNN0Ja Amazon Seller Central: Ensure compliance documentation comes from compliant labs https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHWE5LQVZaRjk3SkQ1NE41 Amazon Seller Central: Add or change price discounts in bulk with new template https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHRldHV0JMUk5HWUJNS1VT Amazon Seller Central: Quality guidelines for promotions https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHUVNMM1MzNzMyMzQ2SDVM Walmart testing ‘dark stores' to fill online orders, according to report https://chainstoreage.com/walmart-testing-dark-stores-fill-online-orders-according-report Wrap up the week with us as we share insights and highlights buzzing through the e-commerce world, preparing you for the upcoming trends and discussions. In this episode of the Weekly Buzz by Helium 10, Bradley covers: 00:54 - Big Box vs Amazon 02:22 - Training Tip: Index Checker 05:53 - Waived MCF Fees 07:22 - New AI Listing Tool 08:16 - New Compliance Req 09:22 - Helium 10 New Feature Alerts 16:25 - New Buk Template 17:19 - Promotions Guidelines 19:16 - Walmart Dark Stores

Imagine turning down $100 million salaries. That's apparently what's happening at OpenAI. And that's just the tip of the newsworthy AI iceberg for the week. ↳ Meta reportedly failed to acquire Perplexity. Could Apple try next? ↳ Why is Microsoft cutting so many jobs? ↳ Why are AI systems blackmailing at will? ↳ Will too much AI use lead to brain rot?Let's talk AI news shorties. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:$100M AI Salaries Being DeclinedMeta's AI Talent War EffortsMeta's Unsuccessful Acquisitions OverviewBrain Rot Concerns with AI UseOpenAI's $200M DoD ContractGoogle's Voice AI Search RolloutGoogle Gemini 2.5 in ProductionSoftBank's $1T Robotics InvestmentAnthropic's AI Model Risks ExposedMicrosoft and Amazon AI Job CutsTimestamps:00:00 Weekly AI News and Insights04:17 Meta's Major AI Acquisitions08:50 AI Impact on Student Writing Skills12:53 OpenAI Expands Government AI Program15:31 Google Launches Voice AI Search19:32 Google AI Models' Stability Feature22:55 "Project Crystal Land Initiative"27:17 AI Acquisition Talks Intensify29:43 "Apple Eyes Perplexity Acquisition"31:54 Apple's Potential Market Decline36:57 AI Ethics and Safety Concerns40:44 Amazon Warns of AI-Driven Layoffs42:44 AI's Impact on Job Market45:24 "Canvas Tips for Business Intelligence"Keywords:$100 million salaries, AI talent war, Meta, OpenAI, AI signing bonuses, Andrew Bosworth, Scale AI acquisition, Alexander Wang, Safe Superintelligence, Daniel Gross, Nat Friedman, Perplexity AI, Brain rot from AI, chat GBT and brain, MIT study on AI, SAT style essays using AI, AI neural activity, AI and cognitive effort, AI in government, $200 million contract with Department of Defense, OpenAI in security, ChatGPTgov, Federal AI initiatives, Google Gemini 2.5, AI mission-critical business, Gemini 2.5 flashlight, AI model stability, SoftBank $1 trillion investment, Project Crystal Land, Arizona robotics hub, Taiwan Semiconductor Manufacturing Company, Embodied AI, AI job cuts, Microsoft layoffs, Amazon AI workforce, Anthropic study on AI ethics, AI blackmail, Google voice-based AI search, AI search live, New AI apps, Apple acquisition interest in Perplexity, AI-powered search engine, Siri integration, AI-driven efficiencies, GenSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

Grab your free Amazon Audit - https://flatworldnetwork.com/ Amazon's search algorithm is changing — fast. In this episode of Lunch With Norm, Max Sinclair, founder of Ecomtent, explains how AI is completely reshaping Amazon's search, discovery, and advertising ecosystem. We dive into how tools like COSMO and RUFUS are powering Amazon's next generation of search, what this means for listing optimization, and how sellers should approach Amazon PPC in 2025 and beyond.   If you're still using the same SEO strategies from 2022, you're already behind. Max shares actionable strategies for creating listings that rank in AI-powered search, how to align your content with the new ranking systems, and why traditional keyword-first thinking no longer works. We also cover how to structure your product pages, the importance of visuals, and how to test what actually converts. This is a must-watch for Amazon FBA sellers, agencies, and ecommerce brands who want to stay ahead of how AI is transforming the Amazon marketplace. In this episode: - How AI is changing Amazon SEO and PPC - Why Amazon's COSMO and RUFUS models matter - Creating content that performs in AI-driven search - The future of listing optimization and conversion - Tools like ProductPinion, PickFu, Ecomtent, and ChatGPT in action If you're an Amazon seller looking to future-proof your business, this episode breaks down what you need to know—and what you need to change.   Timestamps 00:00:00 - Amazon Search & AI 00:05:26 - AI Changing Search Discovery 00:09:11 - Amazon Rufus Usage Skyrocketing 00:12:00 - AI Open 24/7 00:14:51 - AI & Amazon Customer Experience 00:17:34 - Key Change: Cosmo Intro 00:20:12 - AI & Listing Optimization 00:22:49 - How to Optimize Amazon Listings: 4 Ways 00:25:13 - Amazon's Future: 3 Things 00:28:02 - Search Experience by Category 00:30:58 - Innovation is Key During the AI Era 00:34:20 - Creating a Non-Intrusive Experience For Customers 00:37:48 - New Innovations Coming  

Perplexity is pivoting hard... and we like it.The New York Times (even amidst its fight with Big AI) just partnered with a big AI company.And Google Gemini just got a lot better for workspace users, and you won't have to lift a finger.AI got a lot more useful this week. Join us to find out how it's changing how we work.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Perplexity's Agentic Mode Launch OverviewNew Google Gemini Updates for WorkspacePerplexity Labs' Reporting Tools ExplainedRobot Launch: Hugging Face Ricci MiniAI Missteps in Government Healthcare ReportAmazon & New York Times AI PartnershipEleven Labs' Conversational AI UpdateAnthropic CEO on AI Job DisplacementTimestamps:00:00 "Perplexity Labs: AI-Powered Analytics Revolution"06:35 "AI Slide Creation Breakthrough"10:56 "Affordable Open-Source Robot for Developers"14:24 Admin Control on Workplace Summaries15:11 "Google Drive's New AI Summarization"20:56 "AI Strategy and Growth Solutions"24:00 NYT Sues OpenAI and Microsoft26:12 "Survival Strategies for Media Outlets"30:41 Black Forest Labs Challenges AI Giants35:07 AI Revolution in Call Centers36:01 Advanced Multilingual Conversational AI System39:33 Apple Shifts Focus Away from AI43:07 Apple's AI Projects and Challenges48:02 Tech Innovations: Robotics, AI, Workspace Updates49:17 AI Job Threats HighlightedKeywords:Perplexity Labs, Perplexity agentic mode, conversational search engine, AI-driven research, Perplexity Labs Pro, Mac and Windows apps, customizable dashboards, deep research mode, Claude artifacts, Google Gemini, email summary cards, AI-powered email summaries, Gmail AI update, Google Drive video summarization, Google Workspace, US Department of Health and Human Services, generative AI citations, The New York Times, Amazon AI deal, Alexa update, AI foundation models, Eleven Labs, conversational AI 2.0, enterprise voice agent, AI turn-taking model, multilingual conversations, Anthropic CEO, AI job displacement, white collar jobs, Apple WWDC conference, Apple AI gap year, Black Forest Labs, Flux one context, generative AI image editing, financial predictionsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Take the survey: http://tiny.cc/ccnt   BestPodcastintheMetaverse.com Canary Cry News Talk #845 - 05.28.2025 - Recorded Live to 1s and 0s PLETHORA OF PROMPT THEORY | Amazon AI Blackmailing Engineers, China Flippy, BTC Boom Deconstructing World Events from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! CageRattlerCoffee.com SD/TC email Ike for discount   SHOW NOTES/TIMESTAMPS HELLO WORLD 0:23   AI/PSYOP 2:26 Amazon-Backed AI Model Would Try To Blackmail Engineers (Huff Post)  OpenAI's 03 model refused to shutdown Prompt theory 1 Prompt theory 2 Prompt theory 3 AI Will not replace us The prompt theory compilation (YT)   EXEC/PRODUCERS 49:36   CHINA/FLIPPY 58:25 Clip: China unveils first ever robot boxing match (NBC News)   BITCOIN 1:03:10 IMF says El Salvador to make ‘efforts' to stop Bitcoin buys with $120M deal (CoinTelegraph) → IMF website  → Gamestop purchases 4,710 BTC (X)  → BlackRock purchasing 10% of Circle USDC issuer when public (X)   END 1:19:33 1:26:47

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In this episode, our guest explores AI's impact on e-commerce, from voice search to prompt engineering, revealing strategies to future-proof your Amazon and online retail success. Andrew Bell, a thought leader in AI and e-commerce, takes us on his remarkable journey from studying ancient Greek and preaching to becoming a leading voice in the intersection of AI and online retail. He shares personal stories, including the influence of his late grandfather, a top contract negotiator, and his wife's inspiring story of being adopted from Ethiopia and launching a business that supports her orphanage. Andrew's insights into the e-commerce world reveal his strategic role in the growth of brands like Touch of Class on Amazon and his tenure as the Amazon lead for the National Fire Protection Association, where he champions the representation of vital safety standards. Explore the evolving landscape of AI in e-commerce, where image generation and large language models redefine user experience. Andrew shares success stories stemming from industry networking, illustrating how connections at conferences can lead to collaborations featured in prestigious outlets like Forbes. With an eye on the future, Andrew and I discuss emerging trends, such as the shift towards remote work and the decline of traditional keyword optimization. The conversation unveils new strategies like Omni Search Optimization and the rise of voice search, underlining the transformative role of AI in shaping the future of search and branding. Join us as we delve into the intricacies of AI-assisted tasks, where prompt engineering and multimodal strategies are revolutionizing human capabilities. Andrew emphasizes AI's potential to enhance rather than replace human skills, allowing for greater creativity and specialization. The discussion highlights innovative uses of AI, such as personalized recommendations and problem-solving via personality type consultations. By mastering AI technologies, businesses can optimize operations and scale efficiency, turning AI into a pivotal tool for growth and creativity in the digital age. In episode 448 of the AM/PM Podcast, Kevin and Andrew discuss: 00:00 - AI in E-Commerce With Andrew Bell 05:01 - Learning Amazon Selling With Freedom Ticket  09:21 - Tech Innovations Discussed in Conversation 11:44 - Business Transition to Amazon Lead Role 18:08 - Remote Work Career Shift and Creativity 18:23 - Emerging Trends in E-Commerce Optimization 22:01 - Omni Search Optimization Paradigm 28:02 - Answer vs Generative Engine Optimization 31:07 - Voice Search in E-Commerce Future 35:40 - Voice Search and Productivity Implications 36:01 - Optimizing AI Prompting Strategies 43:59 - Role of Agents in E-Commerce 44:48 - Augmenting Skills With AI Technology 48:07 - Personalized Knee Brace Recommendations Using AI 51:55 - Debates on AI Adoption in E-commerce Businesses 57:16 - Kevin King's Words of Wisdom

I spent six months trying to build my own Amazon AI tool… only to realize the real shortcut was buying one. In this episode I share how my DIY ambitions hit a wall—meeting after meeting, development quotes piling up, and the crushing cost of training models—until I discovered Jarvio.io and realized sometimes you build it, and sometimes you buy it.   I walk you through the moment I saw Scott Needham's LinkedIn post, booked a demo with co-founders Connor Mulholland and Jake Ryan, and immediately locked in a partnership.   Discover what this partnership means for Weavos clients: AI-driven account task management, instant listing fixes, automated reporting, and Slack integrations that deliver real-time updates on sales, inventory, and optimization suggestions. This is just the opening act—by 2028 AI will contribute over $1 trillion to a $7 trillion IT market, and we're ready to help you lead the charge.   Whether you're building from scratch or partnering with the pros, the goal is the same—smarter Amazon growth, faster.   All my services and resources are right here: www.andyisom.com  

In this episode, we explore Amazon's latest advancements in AI and robotics, focusing on their innovative warehouse robot, Vulcan, which can feel and manipulate items, and the new AI coding tool, Kiro, designed to enhance coding efficiency. The discussion highlights the implications of these technologies for warehouse safety and the future of coding.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutTakeawaysAmazon is developing an AI code generator called Kiro.The Vulcan robot can feel and manipulate items in warehouses.Vulcan can handle 75% of Amazon's stock and self-improves.Amazon claims robots enhance safety in warehouses.Kiro can create code in near real time using prompts.The tool integrates with multiple AI agents for coding tasks.AI coding tools are gaining significant investment and interest.Amazon's robotics efforts aim to improve operational efficiency.The AI Box Playground offers access to various AI models.The future of coding may heavily rely on AI tools like Kiro.

Welcome to The Ecommerce Braintrust podcast, brought to you by Julie Spear, Head of Retail Marketplace Services, and Jordan Ripley, Director of Retail Operations. This is your April edition of the Retail Round-Up! In today's episode, we dive into the latest trends shaking up the retail media landscape, from AI-driven shopping innovations and Walmart's evolving media strategy to concerns about Prime Day restock limits and the ongoing impact of tariffs. The retail media space is moving fast, and there's no sign of slowing down. We're excited to welcome special first-time guest Shahrez Anjum, Senior Account Manager at Acadia, alongside our media expert and friend of the pod, Ross Walker, Director of Retail Media at Acadia. Tune in to stay ahead of the curve!   KEY TAKEAWAYS In this episode, Julie, Jordan, Ross, and Shahrez discuss: Amazon recently introduced two major AI-driven features that signal a fundamental shift in how product discovery and shopping journeys will operate: Interests AI and Buy for Me. Interests AI is a product discovery tool that allows Amazon shoppers to enter detailed prompts reflecting their hobbies and passions.  Buy for Me, currently in beta, uses agentic AI to place orders on third-party brand websites directly from the Amazon app. Amazon has introduced tighter control over off-site placements, which allows advertisers to manage their spend on external platforms more effectively. Walmart has made two significant updates to its media offering through Walmart Connect, adding Vizio inventory for media buying and the ability to do advanced targeting for on-site display ads.  Amazon has made significant strides in simplifying and enhancing how advertisers can interact with its audience targeting capabilities, particularly by integrating AMC (Amazon Marketing Cloud) audiences into its ad console. Native Bid Boosters: Amazon is making it easier for advertisers to access and use audience segments directly within the ad console. The ongoing discussions around tariffs and their potential impact on retail prices have become a recurring topic in the e-commerce space, especially in relation to Amazon. As Prime Day approaches, concerns about restock limits and potential supply chain challenges are rising. In particular, there are indications that Amazon may reintroduce restock limits, a measure previously used to manage inventory flow.

Wait.... how's this make sense?↪ Meta is going after ChatGPT's business. (AI app) ↪ ChatGPT is going after Amazon's business. (Shopping) ↪ Amazon is going after Google's business (Powerful LLM) ↪ And Google is going after..... OpenAI's business? (AI mode) The tech trillionaires are at it again, going blow for blow with drool-worthy AI updates. Don't spend hours on your own trying to catch up. Spend your Mondays with Everyday AI as we bring you the AI News That Matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversation.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Amazon's Nova Premier AI Model LaunchMeta AI App Powered by Llama 4Google's AI Mode Available in USDuolingo Replaces Jobs with AI ToolsTrump AI Pope Image ControversyApple and Google's Gemini AI IntegrationAnthropic Claude's New App IntegrationsNotebookLM Enhanced with Gemini 2.5 FlashOpenAI's ChatGPT Shopping Feature IntroductionTimestamps:00:00 Amazon AWS Unveils Nova Premier AI05:11 Meta Unveils AI Competitor to ChatGPT09:14 Duolingo Replaces Contractors with AI12:52 AI's Growing Impact on Hiring14:32 AI Image Mocking Catholics Sparks Outrage20:49 "Zapier Enhances Claude's Research Utility"25:09 Gemini 2.5 Update Enhancements26:19 "Gemini 2.5 Flash Enhancements"29:55 "ChatGPT Enhances Product Research"34:06 OpenAI Ventures into Affiliate Marketing37:29 Weekly AI News HighlightsKeywords:Meta AI app, Llama four, generative AI, Amazon, AWS, Nova Premier, AI model, enterprise applications, text and image inputs, long form video, 1,000,000 token context window, model distillation, AWS bedrock, Google, chatGPT, OpenAI, Meta, social media integration, Ray-Ban smart glasses, user preferences, conversational AI, Google Shopping, AI mode, search labs, AI-enhanced local business features, Duolingo, AI first business model, contract worker replacement, Donald Trump AI image, AI-generated content, political controversies, Apple, Google, Gemini AI model, Siri enhancements, Claude, AI integrations, Jira, Confluence, Zapier, Anthropic, advanced research mode, NotebookLM, Gemini 2.5 Flash, Google AI, shopping buttons, OpenAI shopping feature, affiliate fees, conversational product recommendations, Nespresso, Amazon AI, Rufus AI, personalized shopping experience, 2025 technology trends.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Episode 94 of That Amazon Ads Podcast reviews the new Amazon AI images generator, which turns out to be awful.Andrew and Stephen test the in-platform image generator on several products and find it mostly pastes the main product photo onto awkward backgrounds, delivering far poorer results than the same prompts run through DALL·E.They stress that effective lifestyle creatives must place the item in a believable context and note Amazon's tool is "years behind."A brighter spot is Amazon's AI-driven Business Performance Insights panel, which quickly summarizes year-over-year sales and traffic, though it still lacks deeper context and custom-date flexibility.They close by envisioning a future AI that can automatically diagnose conversion drops, factoring in competitors and account nuances, and invite listeners to suggest further AI experiments for upcoming episodes.

In the latest edition of Omni Talk's Retail Fast Five sponsored by the A&M Consumer and Retail Group, Mirakl, Simbe, Infios, ClearDemand, and Ocampo Capital Chris Walton and Anne Mezzenga discuss: The Pros & Cons of Amazon AI Shopping Agents For the full episode head here: https://youtu.be/xZ2R3c0ZxsU

Welcome to The Ecommerce Braintrust podcast, brought to you by Julie Spear, Head of Retail Marketplace Services, and Jordan Ripley, Director of Retail Operations. Today, we're joined by two of the sharpest minds at Acadia—experts who live and breathe Amazon. Whether it's diving deep into AI advancements, crafting and optimizing product listings, or navigating the ever-evolving customer journey, these two are on the front lines, ensuring our brands are set up for long-term organic success. First up, we have Julian Galindo, Senior Account Manager on our Retail Team—a recognized authority and proud self-proclaimed nerd when it comes to AI-driven content optimization. Joining him is Predrag Vetnic, Retail Strategist with a specialty in high-impact copywriting for ecommerce. If you've shopped on Amazon recently, chances are you've come across his work without even realizing it. We're thrilled to have them both on the show! Tune in to find out more!   KEY TAKEAWAYS In this episode, Julie, Jordan, Predrag, and Julian discuss: Amazon's AI Advancements Introduction to Rufus, Amazon's AI shopping assistant, which helps customers by suggesting products based on their needs and queries. Cosmo, the AI system powering Rufus, aims to understand the "why" behind shopping behaviors to offer more personalized results. Optimization Practices for AI Transition from keyword-based search optimization to a focus on natural language and user intent. Importance of tailoring product detail pages (PDPs) for Rufus, not only using keywords but targeting customer needs and relevant questions. SEO Strategy Evolution Emphasizing human-like interaction while optimizing e-commerce content for AI. Leveraging footprint data from user interactions to inform and refine search experiences. Testing and Measuring Impact Methods for testing the effectiveness of AI-focused optimization strategies. Importance of monitoring conversion rates, organic share of voice, and search rankings. Future of AI in E-commerce Speculation on the integration of AI-driven search with traditional methods. Discussions on how AI could revolutionize personalized shopping experiences on platforms like Amazon.

Will OpenAI be fully open source by 2027? In episode 49 of Mixture of Experts, host Tim Hwang is joined by Aaron Baughman, Ash Minhas and Chris Hay to analyze Sam Altman's latest move towards open source. Next, we explore Anthropic's mechanistic interpretability results and the progress the AI research community is making. Then, can Apple catch up? We analyze the latest critiques on Apple Intelligence. Finally, Amazon enters the chat with AI agents. How does this elevate the competition? All that and more on today's Mixture of Experts.00:01 -- Introduction00:48 -- OpenAI goes open 11:36 -- Anthropic interpretability results 24:55 -- Daring Fireball on Apple Intelligence 34:22 -- Amazon's AI agentsThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.Subscribe for AI updates: https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligenceVisit Mixture of Experts podcast page to learn more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

In this episode of Lunch with Norm, Vanessa Hung breaks down how Amazon's AI-powered Rufus and Cosmo are changing the game for sellers. She explains how AI is reshaping Amazon search rankings, product listings, and PPC advertising—and why traditional keyword strategies are becoming obsolete. Vanessa dives deep into how AI personalizes search results, how to optimize listings for Amazon's new algorithm, and the biggest mistakes sellers must avoid to stay competitive. If you're an Amazon seller, this episode is packed with must-know insights about the future of eCommerce, audience targeting, and AI-driven marketing strategies.  Sign up for our Newsletter - https://lunchwithnorm.beehiiv.com/   Thank you to our sponsors! ________________________________________________________ This episode is brought to you by TrueOps: Amazon sellers, stop leaving money on the table! TrueOps helps you reclaim every cent you're owed with cutting-edge tech and just a 10% commission—way less than the industry standard of 25%.

In this episode, we're bringing back one of the first-ever guests on SSP from 2018. He'll discuss a wide range of topics, such as AMC, TikTok shop, influencer marketing, and more. ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On YouTube: youtube.com/@Helium10/videos Can understanding the latest trends in Amazon ads and influencer marketing transform your Amazon-selling and brand-launching strategy in 2025? Join us as we welcome back Liran Hirshkorn, CEO and Founder of Incrementum Digital, one of our earliest guests, who brings his expert insights into the rapidly evolving world of Amazon selling. This year marks a transformative period for platforms like Amazon, where changes in fees and advertising dynamics have forced sellers to realign their focus toward profitability. Liran shares compelling strategies for navigating these shifts and highlights the innovative use of Amazon AI search, Rufus, which is personalizing shopping experiences by customizing search results based on individual habits. Explore the power of enhanced data visibility in Amazon advertising and uncover the secrets to optimizing your strategies. In this episode, we unravel how understanding the customer journey through expanded data insights can significantly boost purchase rates and ad efficiency. Discover how Amazon's strategic expansion beyond its own marketplace opens new avenues for sellers familiar with its advertising platform, allowing them to broaden their reach across different channels. Liran's insights into leveraging Amazon Marketing Cloud to create lookalike audiences for more targeted advertising are not to be missed. Finally, we navigate the dynamic relationship between TikTok and major retail giants like Amazon and Walmart. Hear the captivating story of a seller's transition from Amazon to TikTok, illustrating the platform's impact in driving demand through engaging content and viral potential. We discuss how TikTok's algorithm enhances product discovery, especially for visually appealing items, and the implications of strategic partnerships that could reshape the e-commerce landscape. Throughout this episode, we emphasize the importance of building a strong brand identity and utilizing diverse marketing channels to stand out in today's competitive market. Tune in for a plethora of insights that promise to redefine your approach to e-commerce success. In episode 638 of the Serious Sellers Podcast, Bradley and Liran discuss: 00:00 - E-Commerce Trends and Strategies for 2025 01:29 - Amazon PPC Changes and Current Challenges 03:54 - Personalized AI Shopping Experiences 11:00 - Shift in Search Results and Analytics 11:46 - Amazon Advertising Trends and Strategies 14:32 - Amazon Advertising's Expansion Into Other Retailers 17:59 - Advanced E-Commerce Strategies and Influencers 21:52 - Influencer Marketing's Impact on Brand Launches 27:57 - TikTok and Amazon Integration Strategy 29:57 - Beauty Product's Success on TikTok 36:04 - Amazon Sales Boosting Strategies

Our guest this week is Corey Quinn, the chief cloud economist at The Duckbill Group, the host of the AWS Morning Brief and Screaming in the Cloud podcasts, and the curator of Last Week in AWS, a weekly newsletter. Apart from his newsletter and podcasts, Quinn's day job involves helping AWS customers understand and manage their bills. Amid all the AI hype and billions in capex spending, he uses those insights to provide a behind-the-scenes glimpse and a reality check on the state of the cloud market today. RELATED LINKS Amazon on pace for $100B+ in yearly capex; Jassy expects cost efficiencies to drive AI demand Amazon’s quarterly profits soar to a record $20 billion, but cloud growth comes up short Platformonomics: Charles Fitzgerald breaks down Amazon's capital expenditures With GeekWire co-founder Todd Bishop; edited by Curt Milton.See omnystudio.com/listener for privacy information.

In this episode, we discuss two killer product and keyword research strategies. One of them found a product that has sold tens of thousands of dollars, but I found this product opportunity nine months ago. ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On YouTube: youtube.com/@Helium10/videos Ever wondered how some Amazon sellers manage to uncover hidden e-commerce gems while the rest of us are left playing catch-up? Imagine having the tools and insights to identify high-performing products, long before they hit the big time. On this episode of the Serious Sellers Podcast, we break down the art and science of Amazon products and keyword research for 2025. From Bradley's personal success with the "Meat Resting Blanket" to the specifics of navigating Amazon's algorithm, this episode has strategies that can elevate your Amazon-selling game. Join me as Bradley walks you through the power-packed features of Helium 10. We'll explore niche markets that are ripe for the picking and how to harness the potential of Amazon's brand analytics. You'll get insider tips on dissecting search results to identify products with high click rates but low conversions, a surefire way to uncover untapped opportunities. This episode is not just about finding products; it's about mastering the art of listening to what the market is quietly whispering. Last but not least, we dive into the nuances of product visibility and keyword relevance. Discover advanced strategies for optimizing your Amazon listings with Helium 10's Magnet, Black Box, and Cerebro, and learn how keyword seasonality can impact your sales cycles. Plus, a sneak peek at how Amazon's AI is reshaping product listings and why understanding its algorithm could be your secret weapon. Are you ready to transform your approach and maximize your e-commerce potential? Tune in for actionable insights and a fresh perspective on the game-changing Amazon tools for 2025. In episode 635 of the Serious Sellers Podcast, Bradley talks about: 00:00 - Amazon Product and Keyword Research Strategies 01:36 - Keyword Research Tools for Amazon Sellers 07:18 - Identifying Niche Products Through Brand Analytics 12:46 - Exploring Unfamiliar Keywords and Products 17:25 - Keyword Research Strategies and Historical Data 19:49 - Discovering Top-Selling Products in Brand Analytics 23:48 - Advanced Keyword Research Strategies 24:53 - Discovering Top Keywords With Amazon Data 31:57 - Amazon AI for Product Seasonality 35:15 - Amazon Product Sales Analysis & Seasonality

In this episode, we will discuss how to expand your Amazon brand with translations using AI & the human touch, cultural insights, global marketplaces, and strategies for crafting high-converting listings. ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On Youtube: youtube.com/@Helium10/videos   Join us for an engaging discussion as we sit down with Jana Krekic of YLT Translations, an expert in translations and e-commerce strategies, to explore the transformative role of AI in the world of translation and localization. Recorded live from Milan, Italy, Jana shares her expertise in optimizing Amazon listings, shedding light on the limitations of AI in delivering high-quality, culturally nuanced translations. Through vivid examples, she illustrates the crucial role of human touch in understanding cultural contexts, such as the importance of local references like "nonna" in Italian culture. Discover why relying solely on AI could mean missing out on potential sales and how balancing technology with human expertise is key to successful e-commerce strategies. Explore the nuances of expanding into new markets with insights into evaluating marketplaces for product expansion. The conversation emphasizes not only the importance of assessing sales but also the significance of comparing profits across regions. Uncover strategies for beating competitors through superior content and keyword optimization, especially in areas where local language content is often neglected. Learn about typical expansion routes for US and European brands, and gain insights into emerging markets like Japan and the UAE. We also touch on the growing curiosity among US businesses about platforms like Walmart and TikTok Shop, despite uncertainties in their operational dynamics. Finally, we emphasize the importance of optimizing Amazon listings by focusing on context and customer interaction. Hear about the ever-evolving nature of Amazon's rules and algorithms and the necessity of adhering to local regulations in international marketplaces. With AI playing a significant role in product visibility, an effective keyword strategy is crucial for reaching the right audience. Listen as we highlight successful global brand localization strategies and share tips for enhancing engagement and profits by tailoring content to resonate with local audiences. Plus, don't miss a valuable travel tip on saving money through tax-free shopping while abroad, making this episode a must-listen for anyone involved in the e-commerce world. In episode 620 of the Serious Sellers Podcast, Bradley and Jana discuss: 00:00 - AI Translation and Listing Localization Strategies 01:22 - AI Advancement and the Translation Industry 05:59 - Localization of Images for Amazon Listings 10:33 - New Emerging E-commerce Marketplaces  12:37 - Product Market Research in Germany 17:09 - Optimizing Amazon Listings with AI 20:14 - Understanding International Food Standards 25:42 - Challenges of Brand Localization 26:38 - Global Brand Localization Success Strategies 31:22 - Airport Tax Refund Travel Tips   Transcript: Bradley Sutton: Today we've got Yana back on the show we're recording live from Milan, Italy, and she's going to talk about a wide variety of subjects, such as preparing your listing for Amazon AI translating your listing, other marketplaces and much more. How cool is that? Pretty cool, I think. Sellers have lost thousands of dollars by not knowing that they were hijacked, perhaps on their Amazon listing, or maybe somebody changed their main image or Amazon changed their shipping dimension so they had to pay extra money every order. Helium 10 can actually send you a text message or email if any of these things or other critical events happen to your Amazon account. For more information, go to h10.me forward slash alerts.   Hello everybody, and welcome to another episode of the Serious Sellers Podcast by Helium 10. I'm your host, Bradley Sutton, and this is the show. That's a completely BS-free, unscripted and unrehearsed, organic conversation about serious strategies for serious sellers of any level in the e-commerce world. And speaking of the e-commerce world, I am on the other side of the world right now. I'm in Milan, Italy. and we are at the Helium 10 Elite and Avask Workshop, and one of the speakers for today is somebody who is no stranger to the show, Jana. Jana, welcome back.   Jana Krekic: Thank you so much.   Bradley Sutton: Now, this is the first time we've seen Yana, because she's been uh, creating life, you know, uh out there, uh, how's that for you? How's that going for you?   Jana Krekic: um, it's a struggle, but it's something that I'm really grateful for, honestly.   Bradley Sutton: I got an early start. You know she were just talking about how my kids are in their 20's already. But then again, you know there's advantages of waiting. You know like you got to, you know you and Lazar got to have a. You know just pretty much, go wherever you whenever you want. You see now that it's a little bit different.   You can't just go up and like, hey, let's go to Ibiza today.   Jana Krekic: huh yeah, well, I mean, I could go to Ibiza, but I have to be uh home by 9 pm, so that's the small difference.   Bradley Sutton: So we're not here to talk about parenting. Where're here to talk about what Yana is an expert at, and that's mainly translations and things. And I think one thing that's been on the mind of many people is wait a minute, with AI do I even need professional translators anymore? I could just go ahead and click a button and now I can have a perfectly optimized listing, thanks to ChatGPT or thanks to AI. Now can you tell us? Is that a true statement?   Jana Krekic: Well, honestly, Bradley, I use AI on daily basis and I think it has changed our lives and made our lives simpler in some ways. But I would disagree with the part where you said to get your listings optimized. I would say it's great to do a summary of your reviews and maybe to help you understand how a product works, maybe to describe what you see on the picture if the image is blurry and you can't tell. But I would stay away from AI when it comes to optimization, keywords and, most importantly, localization, because AI is still it's getting better, definitely, but I still we are years away from this being a fantastic tool that will replace human brain and human touch and human understanding of context.   Bradley Sutton: Yeah, so you actually had some examples of what the drawbacks are. Because, yeah, you know, maybe if, if you have zero budget and you want to have something better than just the Amazon auto translates, sure, maybe you know ai is not is going to put you on the right track, but what's an example of kind of like money you're leaving on the table if you just 100 rely on AI for translation?   Jana Krekic: yeah, I would, I would agree. I would say that you can get it translated. It will be probably mediocre at best. A lot of things will be maybe translated very confusingly, will be poorly translated, but you know, if you're on tight budget, yeah, sure, go ahead and you know, see how that works, because probably it will not be as efficient as something else.   But since we're here in Italy, I have a really good example, and this is a pasta machine, whatever clients were selling. So she was selling this in the States and then she was branding is as pasta machine, like in Bella Italia. Now, like for an American like you would probably think that, wow, this is something very authentic, something that will make me help make great posts at home. But what if you want to sell this product in Italy? So what if you tell Italian hey, buy this product because it's in Bella Italia? And you, being an Italian, would be like, what do you mean Bella Italia? I don't understand. We're already in Italia and it is Bella, but I mean I don't get it. So, -like using AI, I tried to play around a little bit with this example and so the first thing I wrote out really nice prompt and I said can you make it sound more localized so that Italians want to buy this machine because it's really top quality and will make amazing pasta. So the AI came up with make pasta in a traditional way, which is better.   It's not a literal translation, but it's still so far away from like. What is like when you say Bella Italia in English and to an American. It doesn't send the same message and it doesn't have the same warmth as like. What you would get is, for instance, if you said make pasta like your Nonna or like your grandma used to make. So when you say Nonna to an Italian, it automatically triggers that childhood memories great pasta, warmth.   It sells emotions and this is what will sell us your product and it will make it closer to your local audience and Italians will be like well, let me try this because I really want to make you know like pasta like my grandma used to make, because this is probably one of the best memories I've had of my grandma and then they will buy this product. But then AI will not come up with this because AI is not uh, doesn't have. This lacks human touch, literally like. That translation is okay, it's decent, but it lacks that something that will connect you with the target audience and sell your product and convey the same message you'll have back in your home marketplace yeah, so that's.   Bradley Sutton: That's a one good example, and almost in any language there's going to be, you know, similar one thing like that, even in English. So maybe somebody who is an Italian person trying to make an American listing, you know might try to translate an American listing. You know might try to translate some words that just you know, like American or English or American slang that you just can't always just translate from an AI. I mean, definitely, I think AI is better than Google translate. You know that's one of the worst things that you could do for your listing, but it still has a little way to go.   Now, um, something interesting we've been seeing lately from Amazon, something that Amazon sellers have been asking for a while is the ability to localize your images easier. You know, in the past sometimes, hey, you have your US ASIN and then you're using the same ASIN in Italy or Spain or wherever, and it would pull in those images and then you try and rewrite the image and then now all of a sudden, your Spanish infographic is showing in US. But now they have this kind of like cool image manager where you can make the images for each marketplace. What are some best practices for how you can quote unquote localize the images. It's not just about the words. Obviously that's a no brainer, you know, don't have Japanese writing in your Amazon USA listing but like even some lifestyle images like would you suggest changing like base to make it more look like you know you don't want, you know, like maybe to have Jap Asian looking models for Japan market or things like that, or what can you talk about? Localization of images?   Jana Krekic: So this is a really good question, but unfortunately, maybe 1% of the brands would actually do that. 90% of the brands would just change the text on images. The images will stay the same, but they will just translate it into different languages, which is fine. It is also one step forward compared to how it used to be. But what is really important depends on the category that you're selling. For instance, if you're selling doorknobs or if you're selling anything that has to do with anything you can find in your bathroom, maybe like a shower organizer or a shower curtain or anything like it.   You have to keep in mind that bathrooms in Europe are quite different than bathrooms in the States, and all the brands selling anything like that like from the States to Europe they leave the American doorknobs, they leave the American shower heads, which is fixed to the ceiling. In Europe we have, like this completely different thing, and also this is something that really catches like my attention every single time, because like then these customers will say, well, well, maybe this works like in the states, but like it doesn't fit really well into my shower cabin. I don't have it. I also have a really big bath which you don't get like in the States and like there are like a lot of things that are very, very different also. For instance, like in in Europe, like I want to have a bidet in my bathroom, which is quite usual to have in your home. Uh was in the States, like I have never seen a bidet except the international chain of hotels   Bradley Sutton: My house has one from living in Japan. I was like I need a bidet in my, so I custom uh, imported one and I'm using one in my house well.   Jana Krekic: You're one of the 1000 people I probably have like that smart uh toilet as well, which is my favorite. Um, yeah, so this is like something that brands don't really pay attention to. So, for all the other things, I think you can get away with. For instance, if you're selling something like a I don't like a office supplements, sports, outdoors, all of that, maybe yes, maybe switched with like different models, but I would say that for most of the cases, you can keep the same models. But when you're selling a home appliance or anything that has to do with something which is in your home, keep in mind that homes are very different and people would not be able to relate with this product, understand where to put it, how it works, because they'll have different things in their home. And then, in these cases, I would recommend changing the images, because I think that this would bring you so much more and this might be a deal breaker for your product.   Bradley Sutton: Good point, good point. Now, going back to your topic of listings and things like that. Now I'm going to miss. I'm not going to be able to see your presentation this afternoon because I'm going to record another podcast and we're not going to go over your whole thing here. But can you give some of the main points of what you're going to talk about this afternoon?   Jana Krekic: Right. So I'm going to try to answer the question like where to sell your product next. So a lot of people ask me this, so I decided to dig a little bit deeper into this topic and try to, um, just do like a short summary of like what you should pay attention to. For instance, like you should check, like, what, how much money is this product making on your marketplace? Then I would compare the profit that, for instance, my competitor is making my home market versus what is making. What are they making on the new marketplace? So this is really important. So not only the sales matter, but also profit. If they're making less profit, then they're making their in your home marketplace and selling more than maybe you should. You know, think again of like if you want to do or not. And then, of course, you want to know if you can beat them on the content level, using keywords, using optimization, using a bunch of different things, strategies. This is really important because, like, if you have 10, 15 different top competitors, from my experience and from all the analysis I've done, you can land in top three, four, even in the top best-selling categories on the content level. So that for me alone is worth going there because you can organically be indexed very easily, because a lot of brands that come from the States that sell in Europe they don't really care about their content because their team does not understand it, so somehow, they think it's irrelevant when it isn't. I mean, if it's relevant in English, why is that relevant in another language, right? So if you ask me, like content is really easy to get positioned, like very well in Europe, and then, of course, very important, which a lot of people don't understand the importance of is actually your audience.   And then asking your audience, will they buy your product? For instance, we had PickFu also build our international polls for us, and so you would want to like test out, let's say, like you want to go to Spain, you think it's a great product. All the numbers add up, it's fantastic. But will your buyers buy it? Will they be excited about it? So you ask, let's say, 100, 150 people you can target them women, age 40 to 50, amazon Prime, whatever high income and then you ask them would you or somebody you know buy this product, yes or no?   Because we had a situation where we had one of the clients wanting to sell something in Germany and everything added up nicely, but the product was just not selling. So I went to my German team and asked them like would you buy this product? It was some sort of like a Mr. and Mrs. thing, like a cup with that. And then I have 12 German team members and every single one of them said no, we're never, never buy this product. And then I'm like why? And they're like because, Jana, it's like such a not a German product to buy. It's like so, not something that we would want to have in our kitchen.   And I was like, wow, this is insane. So I went back to the client and I'm like well, I'm sorry, I think the audience hates this, this product. Like you should come up with something different or maybe try another country. So this is something really important. You know the Vox Populi. It's very, very important. All the other parameters are, but this also adds to like to a really big, important part whether you should expand to this country or not.   Bradley Sutton: Where are you seeing a lot of people from US and then, conversely, from Europe. Where are they expanding to? Like, historically it's always been vice versa. All right if I'm in US, you know, obviously if I was doing Canada and Mexico already, but then now I go to Europe. If I'm in Europe, I'm either already selling in US or that's the next one. Is that still the case? Or are you seeing more people go to newer places, like maybe Japan or Middle East or other places?   Jana Krekic: Right. Well, when we're talking about us brand, it's always going to be first Mexico or Canada, because of course geographically it makes no sense. Then it's Europe and then we've seen people try to go to UAE. I think people are very interested in the marketplace. They don't know what to expect but there're like let me try, because usually like you would not need translations or any like it's not a big of a deal to go to UAE. You can keep your lessons in English, especially if you're targeting expats. That's really important because then they don't do like Arabic keyword research. And then some of the brands they're brave enough they go to Japan.   We've seen a lot of crazy products be really successful in Japan, but not all brands are ready for it because of the alphabet and unknown universe and everything. They're really, really afraid of that. But we've seen brands do Japan, especially in the last year. We've seen the increase in Japan and a little bit of like showing interest for the UAE. I think Saudi Arabia is going to be also really interesting. We've talked about this earlier and yeah, but I would say still Europe number one and then more than like. If I compare it to like three years ago, definitely more Japan and more UAE, but still I would say that they want to go to Europe a lot and I'm not sure if any of them, like from the States, would be interested in Australia. Honestly, I think Australia has grown bigger, but because of the Australian sellers, not because of the brands that actually want to expand there.   Bradley Sutton: Are a lot of your US customers expanding to both Walmart and TikTok shop, or do you see more going to one or the other?   Jana Krekic: Yes, I would say Walmart definitely, especially in the last year, year and a half. And then TikTok shop a lot of people want to but they don't know how it works honestly. And then this is I get a lot of questions like we've heard amazing things about TikTok and they've never sell with, like influencers, ugc. They haven't used it a lot, so they're kind of really afraid to test the waters. But I know that the ones that have already sold on TikTok shop had amazing results and it's like completely different universe and of course, you don't know how long it's gonna last. So I'd say, like you know, hop on that train and, just you know, do it. It's really, it's really yeah. I think it's going to be a good ROI, really.   Bradley Sutton: All right, now, switching gears a little bit. Something that I was talking about in my presentation was for me. You know, I I'm not doing too much differently nowadays, even though there's new AI things like Rufus, but there's a lot of people who maybe weren't doing best practices for listing, but now those people are going to be even farther behind because of what Rufus is. And so what are you know? Like you as a company, when you're making a listing for somebody, I believe you probably have in mind things like Rufus, right, even when you're making the listing, what are those things that you guys have in mind? And how are you you're doing things um to make sure that somebody's listing is ready for, for Amazon's AI things?   Jana Krekic: Right. That's also a really good question. Uh, because, um, as you said, a lot of things that you were doing the right way maybe six, seven years ago. They are still relevant, some of them. So we were also.   Whenever we're doing listing, we always pay attention to context and how it sounds to the target audience. Uh, so it's not only like when you have your bullets. It's not only like when you have your bullets. It's not only about your key features, how this product and that product. It's also like how you would like talk to the customer.   So let's pretend that you have a customer on your page and then you have, like this hello, how we can help you. Like chat box saying, hey, so what do you wanna know about this product? And then maybe let's say this this customer wants to buy something for their daughter, let's say a diaper bag. And then you know, like, maybe ask, like do you travel a lot? Oh, you may be traveling a lot, so maybe put this in the bullet. Or you know, you can go to your reviews and like see what people are talking about, their situations where they use these products, locations where they use this product, because this will make your bullet sound more real and like as if someone wrote the bullet who was your customer.   I would think, from a customer standard customer point of view, write things as if you were using this product but and get ideas from the reviews and actually like you are talking to a real person. I think this is like really important. So not just like random sentences like buy a product because this, this, this and this, because it sounds like you're reading a manual. So you're not buying things from like a manual, buying from a real person that loves and enjoys your product.   So I would have this mindset with writing listings and, of course, not just using keywords in the title, which is really important. So keyword stuffing has all like been dead for a long time, but even now, like today, I don't see a title that reads nicely, that's also filled with just like random words, maybe like random phrases, but definitely not and this can hurt a lot the algorithm and like actually the power of AI to recognize what your product is about and to offer it to customers, because it will not understand the true value of what your product is bringing and solutions it's offering. So I think it's really important to today sit down and optimize your listings as if you were a customer. I think that is really important To make it more human. I think that is the actual approach you should take.   Bradley Sutton: What else is new in your world as far as things like? One thing I mentioned also is that one of the constants in Amazon is change. Rules are changing. Algorithms are changing, best practice changing. You know fees might change the way you have to do things. Things are always changing in Amazon. It's never a dull moment. So in the last you know couple of years, since maybe the last time you've been on this podcast, what are some other things that you're having to do differently for clients or that you've had to adapt due to something that maybe changed on Amazon?   Jana Krekic: Well, definitely, you always have to keep up with the forbidden words, and we do a lot of supplements, so that's always a very big challenge. Every supplement is different. Every country is different, so, more than ever, you have to really pay attention to that. It's really important Now. When you say bio, for instance, like in Germany, it does not have to mean that it is 100% organic. Earlier it was organic, but now it doesn't have to mean. It means that you have a certificate, but it doesn't mean that it's an organic product. So you can't say and use the word organic actually to make this be like a bio product or vice versa. It's really now, it's really like fine print, uh, what you should read really, really carefully. Um, because I think it's getting more refined of what is allowed and what is not. A couple of years ago it was like, okay, you can't have a health claim, sure, let's just, you know, let's just figure it out like just, uh, you know, come up with a different sentence, but now you're gonna have to use it as a health claim, but you have to be really refined about it because you have to have it in a listing. So I would say that even on European marketplaces, there are lighting years behind us market. It is getting more refined and more difficult to get away with things that you could use like three years ago. When it comes to keyword research, it's now pretty much the same as like. If you use long tail keywords, as you've used for the last six years, you'll be good. Helium 10 now covers all the international marketplaces, which is amazing. It's always the best choice for all of the search volumes, relevancy and all of that. And I would also just add that when you choose a keyword do you want to use in your listing, you shouldn't only pay attention to the search volume, because a lot of sellers would be like, oh okay, 70,000 search volumes, this is amazing, but it's not because the relevancy is what matters. So you need to combine those two because sometimes, like the top on the top list of the search volume keyword is not going to be best to describe what your product actually is.   And now more than ever, talking about the AI, it's really important to use relevant keywords and related keywords to your product, because then the AIO will better understand what your product is about and how your customer is typing to get to this product. Maybe sometimes you will think well, maybe this is too broad, but then type it into Amazon and see what is going to be in that search result. Maybe this is where your product should be and this is why you should think of like putting it into your listing. So I think now you should kind of use more of your strategy and brain power like to put it like in your listings than before, when it was like a no-brainer, being like okay, this doesn't describe my product. Next, now, maybe this is something. It's a related search term that people use in order to get to your product because it's like broader but it's still not.   Let's say, if you're selling um fitness, like um yoga mat, maybe you're not gonna put like sports equipment.   Maybe this is too broad search for you, but maybe something narrower, but even like a little bit broader than what you thought put in a listing, will help ai connect the dots and like to put it all together. It it's also I love SEO. It's like my bread and butter and I know a lot of like Google SEO. So when you also have a Google and you have like that knowledge panel of your company on Google and then on your about company page, or if you have like your own page about me. You should have all of the, let's say, LinkedIn, Facebook, everything that helps Google connect the dots and put it in your knowledge panel so that you're relevant for one thing. This is literally what AI on Amazon will do, just more like a niche, because Amazon is a niche, like in Google, is much broader and it will help AI, or anything that is inside of the search engine, connect the dots and make them realize that your product is relevant for x, y, z things.   Bradley Sutton: Are you guys mainly just doing translations or do you also do things from scratch, where somebody just comes with a product, they don't have a listing in a certain marketplace and you're creating it from scratch?   Jana Krekic: Yeah, absolutely. We do copywriting in all the non-English for our non-English marketplaces, uh, and we do this from scratch and this is also the, the strategy that we have thinking as a buyer and then putting the our you know thoughts and experience into words and selling it to the target audience with localization. So I would say that we are I mean saying that we are translation agency is very simple. It means just like translating words by word, but we actually translate it into emotions and, like you know, we're translating into the sales actually of the product. So, basically, localization is much more different than translation, because you need a little bit of copywriting in that as well, because if you have a sentence like in Bella Italia, if I would translate it will be just like the same sentence in Italian with the Bella Italia, but then you might add something or recreate that single sentence to achieve the same effect as you have in English. So it is a little bit of transcreation, as I would say.   Bradley Sutton: Okay. So then when somebody does come with a new project um, you we've mainly today been talking about listings and maybe some images and titles what's your strategy as far as A-plus content or premium A-plus content, brand story, in the case of making something from scratch, or when we're talking about translating like, maybe they've got a brand story, they've got A-plus content in one, are you completely telling them to completely change it in the other marketplaces? Or what are some strategies for these things you can talk about?   Jana Krekic: That is a really difficult one we have with our clients, because every time when a new client comes like we send them our onboarding questionnaire, we ask them a couple of questions. So we are 100% sure that we are on the same page with the brand and the brand voice. But you'll be surprised how many brands are really scared of changing anything and localize, localizing their A plus, content, brand story, storefront, anything. They're just like translate it, but please make sure to have all of the important, important information there. And then you tell them like, yeah, we're gonna have all the important information, but maybe we change the contest a little bit. And they're like God, no, don't change it. And I'm like but this will resonate better with the target audience. They're like well, maybe just like 10%. So brands are actually afraid of localizing, which doesn't mean that their brand is going to get butchered, it's just going to get a little bit adapted to a new marketplace.   And this is what I suggest to all brands to do. You would be surprised of the conversions and everything when someone reads something which is closer to them in German, in French, in Italian, versus a big, gigantic US brand that speaks to Americans in a salesy, fluffy voice. You don't want to sell that type of brand in Europe at all. So that's really really important. Very few listen to what I say, but a lot of them are really, really afraid of doing that. This is a true case study. But those that do really have good results. And we've had one baby brand selling fleece jackets for babies. They had about 60% increase in visits on their webpage because they changed their images and they changed the tone of the voice in their storefront, which was absolutely amazing, and of course, with that followed increase in profit. So don't be afraid to localize your storefronts. Nothing is going to change. The only change we'll see is probably positive change.   Bradley Sutton: For people who want to reach out to you. How can they find you on the interwebs out there?   Jana Krekic: You can find me on LinkedIn. I do a lot of video analysis I really enjoy just like helping brands scale and just pointing out to what they could do better. So LinkedIn, definitely number one. And then definitely you can reach out by email at Jana@ylt-translations.com.   Bradley Sutton: All right, so a few more questions here. Your favorite Helium 10 tool?   Jana Krekic: I think the new Keyword Tracker really I absolutely love it and it's so easy like it's so straightforward, like even I think my seven month I absolutely love it and it's so easy, like it's so straightforward, like even I think my seven month old baby could use it. It's very easy and I love how you can like find out new keywords, you can be ranked for and track all of the competitors like in all different marketplaces. It is really really important for us as from what we do, so I would say that that is like the my probably latest favorite update.   Bradley Sutton: And then something that maybe we don't have, that you're having to get from somewhere else, or some new feature that nobody has, and you've always thought, oh man, this would make my life so much easier If I were to let you be in charge of the Helium 10 product team, what would be your first job for them to make some new tool or some new feature?   Jana Krekic: Yeah, well, first of all, I really have to say big thank you to Helium 10 because they've always listened to what I said. All of the you know, like suggestions, like, for instance, like when you do keyword research, usually it was to put number two as a default for the keywords. And then I went to Boyan, who was then a CEO, and then I told him like look, you need to change this to number one and two because of the big compound words in German that do not come up in the lists. So that was amazing. So I don't have anything like that, like as amazing as that suggestion was, but I'm really happy to see that all international marketplaces are available in Helium 10. And then I would maybe want to see, yeah, like if new marketplaces show up, I would want to like see, like, all the updates for that as well. And then maybe, like you know how you have an opportunity explorer, like for a product.   I think that may be combined into like one thing so you have like a better overview of like, of like the statistics, with like numbers and lines going up, because I think sometimes it's kind of visually difficult to visualize how everything is working together when you want to scale to a new marketplace. You do have all these amazing numbers, but I think that visual graphics would do amazingly well because a lot of people get lost in these numbers and then once you have something visually presented for you, you're like wow, this is actually gonna work versus wow, 1000 numbers, 3000 excel sheets, like I don't even know what I'm doing. So like this will like stimulate people into wanting to expand more by having it visually clear for them that this is going like top sales competitors, you know, following all of that, just like in like visually pleasing display, like screen. I'm a very visual type, so this for me is really important. For instance.   Bradley Sutton: Awesome, awesome. All right, what's your last 30 second tip or 60 second strategy you have for the audience? Could be about parenting. It could be about travel. It could be about travel. It could be about Amazon. It could be about anything.   Jana Krekic: Oh, I have a tip about travel for all the US citizens out there. So when you travel to Europe and I know that this year and last year has been an insane number of US Americans, I think only because, like Taylor Swift's concerts, like people going to Europe and Paris, I remember that, because, like Taylor Swift's concerts, like people going to Europe and Paris, I remember that. So, like, when you buy, especially luxury goods they're very expensive you can get tax free at the airports. I know a lot of people don't know about this, but if you buy, let's say, something that costs 1000 euros, you get, in Italy, 12% back, cash back. So if you buy that you get a receipt and then you take it to the airport and then before you hop on a plane, you show the item you bought. So don't put it in your checked-in bag, you have to show it and then, on spot, you will get cash back. That there can be a lot of money sometimes.   Bradley Sutton: Awesome, awesome. All right, a cool travel uh tip. I just recently did something like that. I think I was in Japan or or Korea, uh, and even a couple services I had paid tax, but then there was like a machine in Korea and I was able to get it back.   Jana Krekic: I was surprised because a lot of people that really do travel a lot they didn't know about this. So I'm like you know what I'm going to say. It maybe some of you know, but I'm sure a lot of you don't. So I think, free money, why not?   Bradley Sutton: Awesome, Awesome. Well, Jana, it's good to connect with you again. I look forward to again you know seeing you at conferences, like we always used to in the past, and wish you the most of success.   Jana Krekic: Thank you so much for having me always a pleasure to catch up.    

In this episode, our guest is an expert on AI and Amazon Science papers. He'll talk about Rufus, COSMO, Project Amelia, and all other AI advancements from the Amazon side and beyond. ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On Youtube: youtube.com/@Helium10/videos Join us for an engaging discussion with Kevin Dolan from Pacvue AI Labs as we explore the cutting-edge advancements in AI and Amazon's pivotal role in shaping this dynamic landscape. We'll unravel the mysteries behind intriguing names like Rufus, COSMO, and  Project Amelia, representing Amazon's ongoing AI initiatives. Kevin shares his expertise on the evolution of AI from its early conceptual roots in the 80s to the transformative impact of transformer models around 2019, which paved the way for groundbreaking applications like ChatGPT. Discover how Amazon's increased investment in AI research is manifesting in published papers and sophisticated models that are revolutionizing customer interactions. We also explore Amazon's integration of AI in tools for sellers, highlighting the launch of advertising AI that optimizes campaigns with precision. The potential of AI in enhancing tools like Helium 10's Adtomic and Cerebro for more efficient Amazon PPC campaigns and keyword filtering is discussed, along with the impact of Amazon's Rufus on the shopping experience. While Rufus aims to improve customer interactions, we critically assess its current limitations and ponder its potential to shift some search activities directly to Amazon from platforms like Google and Pinterest. Additionally, we dive into Amazon's transition from lexical to semantic search, emphasizing the importance for sellers to align their product listings with customer needs for visibility and success in an AI-driven environment. Lastly, we examine AI-driven tools like Project Amelia in Amazon's Seller Central and their potential impact on brands and sellers. While chat-oriented interfaces may translate vague intentions into useful actions, skepticism remains regarding their revolutionary potential. We emphasize the importance of exploring third-party tools like Helium 10 for added value and addressing the hype surrounding changes in seller practices, reassuring listeners that successful strategies remain largely unchanged. Kevin's insights and our conversation shed light on the future of AI in e-commerce, leaving us excited for what's to come in this rapidly evolving field. In episode 606 of the Serious Sellers Podcast, Bradley and Kevin discuss: 00:00 - Advancements in AI and Amazon Science 00:41 - Decoding the Amazon COSMO Algorithm 08:42 - AI Model Cost Efficiency Advancements 09:48 - Amazon's AI Innovations and Rufus 14:59 - Implementing AI Chatbots Inside Online Marketplaces 20:29 - Enhancing Amazon's Semantic Search Capabilities 21:12 - Leveraging Rufus and COSMO for Selling Success 26:59 - Impact of Science on Amazon Practices 28:10 - Enhancing Amazon's Product Understanding With AI 30:01 - Customer Preferences for Pregnant Women 35:22 - Amazon's Data and Product Listings 37:30 - Amazon's Project Amelia in Seller Central 38:42 - Amazon's AI Recommendations for Sellers   Transcript: Bradley Sutton: Today we talk to the person who knows more about AI and Amazon science papers than maybe anyone else in the world, and he's going to talk about all things Rufus, COSMO, Amelia and all other AI advancements from the Amazon side and beyond. How cool is that? Pretty cool, I think. Hello everybody, and welcome to another episode of the Series Sellers Podcast by Helium 10. I'm your host, Bradley Sutton, and this is the show that's completely BS-free, unscripted and unrehearsed organic conversation about serious strategies for serious sellers of any level in the e-commerce world.   Bradley Sutton: I'm not exactly 100% sure what I'm titling this episode, but I might have done something kind of clickbaity and say something. There is no such thing as the COSMO algorithm or something to get people to click on this. But let me just quickly explain that. Now. I don't mean that there's no such thing as Cosmo. There's a lot of documents out there from Amazon that talk about it, but there's nothing that says, hey, Cosmo is the new A9 algorithm, or there's nothing official from Amazon that says, hey, Cosmo is now in full effect across 75% of searches, or anything like that.   Contrast that with all the articles from Amazon that talk about Rufus. I mean, Rufus is a thing you can actually see in everything. So I just wanted to do a clickbaity title like that and we'll definitely get into Cosmo and things like that later. But I've got back on the show probably one of the persons who's the highest expert in the world as far as AI and also what Amazon has been doing as far as on the AI front, and that's Kevin from our own Pacvue AI Labs. That's why I'm wearing this. It's actually a Brazilian soccer team, Palmeiras, I think.   Bradley Sutton: I wanted to get something with a P on it. Yeah there you go.   Bradley Sutton: I have a Padres P hat too, but since I'm a Dodgers fan, it hurts every time I even wear that hat. So I was like, no, I'm not going to do it, considering the times that we're in right now. But anyways, Kevin, welcome back. It's been a little over a year since you've been on the show.   Kevin Dolan: Yeah, thanks for having me back. Last year was a lot of fun and we've been seeing a lot of things happen in the last year in AI, especially around Amazon's implementations of AI, so excited to talk about those updates.   Bradley Sutton: Cool. Now let's just talk about AI in general, general. You know, like AI is kind of like, I guess, like about two years, I mean, people have been talking about AI for years but as far as the, the more recent trendy version of the topic, AI, um, it's really been, you know, like you know, ChatGPT and things like that over the last couple of years. And let's just talk about what's happened in general over the last year. You know the improvement   Kevin Dolan: Okay, sure, yeah, I mean, like you said, AI has been around forever. We've been using the term at least since the 80 s in terms of technologies that we can actually use for actual production purposes. As we're using the term today, its meaning has shifted to largely refer to this current generation of models that we're seeing. That began in around 2019 with the introduction of what was called the Transformers model. This led eventually to a variant of that model called Large Language Models, popularized by Open AI's ChatGPT, and we've been seeing a sort of explosion in AI technology and investment into hardware, investment into research as a result of some of these findings. That has become sort of the current modern label of what is AI. We're talking primarily about transformer-based models that perform language or other modalities, including image generation, and we're talking about basically whatever is that front line of research that's happening right now. So you see this explosion happen with the release of the paper around 2018, 2019. And then you see the proliferation of training hardware that led to innovations like ChachGPT, where we're starting to see these emergent behaviors, where these models do start to exhibit something that you can really call intelligence. These models do start to exhibit something that you can really call intelligence.   I came on here last year to talk about all of the different papers I had read from the prior four to five years at Amazon Research. You can tell, when you look at the number of papers that Amazon is releasing, that around that time around 2021, 2022, they started to invest a lot more in their research department. When they started releasing papers in Amazon Science in 2018, there were five papers about search. The following year, in 2019, there were 18. By 2021, there were 40. And then the next year there were almost 70 papers. That seems to have leveled off at this point. We saw about 70 papers last year and so far in this year we've seen about 60 papers. So we're probably going to end up in the same realm.   So the number of papers that Amazon is releasing isn't really changing. What is changing is the complexity of the models that they're using is much more sophisticated and they're being targeted for much more practical use cases. You're seeing larger A-B tests where they're being run on material percentages of traffic on Amazon. You're seeing Amazon release actual AI features that are customer-facing, like Rufus, and we're seeing investments in hardware that make some of these models that used to be impossible to run in production now very conceivable. So I think we are seeing confirmation that Amazon is taking these technologies seriously. They're implementing it in production and it is starting to impact customer behaviors.   Bradley Sutton: What about non-Amazon AI Like what you know? ChatGPT, imagery you? Know, like a couple of years ago it was just hallucinating nonstop, and then last year a little bit better. You know images. You could not create humans, you know, or products in there without seven fingers and stuff in the general world of AI. How has that come along in the last year?   Kevin Dolan: Yeah, so I mean we are seeing continued investments in research and continued improvements on these models. The transfer model really revolutionized things, but the initial results that we were seeing out of those transformer models were a little disappointing. For the first time, we were starting to see computers understand language, computers being able to generate images, and our initial reaction was holy cow. We didn't know computers could do this, and then, as we started to use it a little bit more, we became really disappointed, because we're like, oh you know, all the people have six fingers. It's making up facts. You know, the things that it's saying don't really make sense. And so there's been a lot of people who have looked at this potential and started to invest material dollars in improving it to basically get to the point where now these technologies produce more reliable, more consistent results. There's still really major shortfalls, there's still issues, and I think you're going to see continued investment in this. The optimistic projections that you're getting from OpenAI. You know I'm personally a little bit cold on those, but who can predict the future? Who could have predicted that this would have happened? Yes, you are seeing improvements in image generation models, where the images that they're producing are now closer to reality. We're starting to see these used widely in industry, especially in fields like advertising, where you need to produce high volume creative. If you look at the features that Photoshop has released related to their Firefly AI image generation model, we're starting to see not only improved models but improved workflows for creatives to actually be using these tools in a way where, instead of just somebody typing some random prompt and getting whatever the system decides to give you now, people are actually able to control the output and get the output that they're looking for. So, between all of these things, you're seeing a lot of development to make these tools more practical to use. I'd say the biggest and most recent news is OpenAI's release of its strawberry model, which they call O1 in their release vernacular. The O1 model from OpenAI is performing thinking steps before it answers the question and hiding that thinking from you, the way that if you're asked a question, you might think about it a little bit before you answer it, and they're seeing really, really impressive results from that. You know we're getting closer to the place where these AI models might be able to do something that's a little bit more functional, a little bit more capable of actually interacting with real life data and real-life processes, you know, but we're still a little bit far away.   Another issue that we keep running into is the dollar cost of running these models. Towards the end of last year, at Helium 10, we developed a review sentiment analysis model that basically would read thousands and thousands of reviews for your Amazon products and produce some analysis and produce an analysis of what people are saying about your product. You know Amazon has a similar product. Ours goes a little bit deeper than that but the idea is essentially the same. You know what are people saying about your product, what can you learn about it in order to improve your product, improve your listing, etc. And one of the things that we ran into with that model is just how prohibitively costly these models can be to run on large sets of data, and so we're starting to see investments in making models smaller and more special purpose, and we're also seeing improvements in hardware that make running these models more cost effective. This is really going to start to unlock production capabilities, and that companies will now be able to run AI models profitably.   Bradley Sutton: Interesting, interesting. Now, yeah, we're always looking to add things that can utilize AI that helps Amazon sellers. You know we are launching this week advertising AI on our Atomic side, which is allow somebody to just enter in an ASIN and then our AI engine will kind of just create all the campaigns on its own and optimize them on its own. That's something that we've been using at Pacvue for a while, and we're integrating some AI things into tools like Cerebro, where you could have a prompt that allows you to filter out keywords or say, hey, can you please remove any Spanish keywords from the results? Or, hey, can you remove any branded? You know search terms, you know things that you know you could probably do on your own, but it just takes a lot longer. So, so, definitely, we're, we're keeping track of what AI can do, because anything that is doable. We want to go ahead and bring it into Helium 10.   Bradley Sutton: We know that getting to page one on keyword search results is one of the most important goals that an Amazon seller might have. So track your progress on the way to page one and even get historical keyword ranking information and even see sponsored ad rank placement with Keyword Tracker by Helium 10. For more information, go to h10.me forward. Slash keyword tracker.   Bradley Sutton: Now going back to the main topic, amazon. Before we get into the science more detailed, into whatever science documents have been released and things this year, let's talk about what is 100% already out there or talked about, which is like the Rufus and so Rufus, Cosmo I've got some personal opinions on it and that's all. A lot of this is, you know, until Amazon actually publishes something for sure, like you can't even say that, oh, a science document said this or that, because the great majority of the content of science documents actually doesn't actually get into production on Amazon. You know per se. You know so just because Amazon talked about in a science document. It's just a research paper, you know. But let's first about talk about the stuff that you know Amazon announced at Accelerate or has already rolled out to customers, like Rufus.   And then my general thought on that and again I could be wrong and I'll be happy to switch my thinking when Amazon does make some different announcements is that Amazon is always about the customer. Right, they want to give a better result for the customer. And then I don't feel that, like Rufus, for example. Fyi, in my opinion it's terrible as a buyer where I'm like, hey, what did the review say about this product and it gives me an answer. And guess what? There's no reviews on that product. So, as a consumer, being kind of skeptical about some of these AI things, I just can't use it. And now the other part of it is I don't think anytime soon the traditional way of searching on Amazon is going to be improved in that if I know I want to buy and I talked about this in a previous episode recently if I want to buy a coffin shelf, there is no better process than me opening my Amazon app and typing the word towards coffin shelf and looking at the results like there is nothing unless amazon connects my brain to, to the app. That is going to ever be better than that where? In other words, I am not going to go and have a conversation with Rufus with my thumbs, you know, like taking typing in a whole bunch of I used to be a secretary. I type like a hundred words a minute. So like, let's say, I was on the desktop app, I'm still. I'm a lazy person, as all human beings are. I am not going to say what do you think, Rufus, about coffin shelves out there? Like, like, no, I'm going to type in nine letters and then. So that part. I almost don't think Amazon is necessarily trying to change that part, because they know that it's already the most optimized experience for people who know what they're looking for.   Now here's the thing, though how did I get to that decision that I wanted a coffin shelf, like maybe I just knew it. But another thing is, maybe I'm just browsing like, hey, I want to uh, search on google what are trending, um, trending gifts in 2024 for teenagers with a gothic inclination, or something like that. Like, right now, I'm not doing that in Amazon, or, historically, I'm doing that like in Google, maybe Pinterest, you know, or maybe these other websites where I'm trying to get ideas. And then, all of a sudden, I read a blog, or I arrive on a TikTok or whatever, and I see, ooh, Coffin Shelf. I didn't even know that existed. Now let me go and type in coffin shelf on Amazon.   So I think the potential of, of a fundamental change in the way we shop could be that maybe some of these searches that people would normally start on a Pinterest or on a Google, maybe now you can start in the Amazon app, where what I would have typed for the Google AI or things like it's just going to go ahead and, and, and I can start the Amazon app where what I would have typed for the Google AI or things like it's just going to go ahead and I can start, you know, just browsing, browsing things, and at the end of it, you know like Amazon might, or Rufus might, tell me yeah, you know, like we see some spooky families by coffin shelves, and then here are the coffin shelves Now. Anyways, I normally don't talk very much when I interview somebody, but I'm very passionate about this. But are we on the same page here, or what? Correct me if I'm wrong or if you have different ideas.   Kevin Dolan: I mean totally with Rufus.   You know Rufus is out, it's public, it's something that anybody can interact with. So we know it's been implemented and if you've actually used it, I'm sure you found the experience a little bit disappointing. You know it does two main things it helps you to figure out what search you might have wanted to type in if you weren't completely sure, and it answers questions about a product once you're looking at a particular product. I think that those two things could be useful. You know, I think that it's certainly early in the implementation of chatbots to say that these things are fully capable, but I think what you're seeing with Rufus is mainly two things here. The first is there's intense industry pressure to implement AI in a visible way that all companies are feeling. After ChatGPT was released, no major tech company wanted to fall behind on that trend, and so you started to see these types of very visible generative AI features implemented in tech platforms across all industries. If you've got a website, there's a good chance you've got a chatbot at this point, and so it's hard to imagine a world where Amazon was not going to release something like this. They really, really had to because there was so much pressure to at least try it, see if it works, see how customers respond to it. Also, we know that Amazon looks towards other retail experiences to try and understand what ways they can improve the e-commerce experience.   It was not always the case that Amazon's primary vehicle for finding a product was a search bar. When Amazon was first released, it was largely node browse based. You would search through a series of categories and get to the product you're looking for, which is much akin to going to a store, looking at the different aisles, walking down the aisle that has your type of product and getting there. It was a major innovation for them to create a search engine that could search through any type of product and understand at some level what a person was looking for, and they've been making continuous improvements to that over the entire development of their company. I think with Rufus, the corollary in real life retail is going to a store and talking to an associate. If you go to a nice store where they have a more curated shopping experience, you might want to go and just talk to a person and ask them questions about the products that they're experts on. I think that's a sort of natural corollary to try to implement in an online context, but when I go to a store, if somebody comes up to me and starts telling me about their products, I'm personally not the type of person to respond to that, and so you know it's natural for me to look at Rufus with a little bit more skepticism than you know somebody who might enjoy that real life experience.   I think that there are shortcomings with Rufus. I don't think it's going to materially impact the majority of purchase paths for the majority of customers. I agree with you. There is no easier user interface that I can imagine. When you are looking for something, you want to just go to Amazon, type it in a search box, a brief description of what you're looking for and then yeah, all right, I've got a list of things to look at. I've got some pictures. I can scan some results.   I do find some utility with Rufus with respect to answering questions about products. You have to take it with a grain of salt because it can hallucinate. It can produce unactual information. However, I have used it in some context to ask a specific question about you know, can this product be compatible with some other product? And it will give you some kind of information that you can then verify using the listing, using the questions and I think that's helpful in order to use Rufus to come up with search ideas and things like that.   I found that those features are a little bit less useful but, like you're saying, if they start to integrate the experience of asking these questions in a more core way, in a way that feels less bolted on and gives you more than just a text output with links if it were to give you, say, a sort of a Pinterest board for product discovery, help you to better understand how to get to the listings that you want to find.   I could see a world where those user interfaces become material for less targeted searches, where you aren't really sure exactly what you want to buy off the bat. One of the things that they point out in the blog post about Rufus because they haven't released a scientific paper about it detailing the implementation. But one of the things they point out is, if you are going to involve yourself in some kind of activity like, let's say, ongoing camping in Joshua Tree, I might use a tool like Rufus to answer the question of what types of things do I need? You know the kinds of things that you might talk to a store associate at a camping store about and it can start to give you some ideas about this. But I think we're pretty far from the point where you would give it the same kind of trust as you would give as somebody who has put their body in a camping experience routinely.   Bradley Sutton: I agree. I think Rufus definitely has some potential to help things if the hallucinations stop, because there are things that as consumers, we do that takes time. After I land on a couple of products, I might start looking at the reviews. I might start looking at details of the bullet points and descriptions to see use cases and try and find out material. I might look at the images to see the stats and the ingredients of something, and these are all things that can take a lot of time, especially if I'm not sure where to look.   Like I don't know where a seller has put in their listing. You know which material to use, so I can definitely see Rufus helping there. But then, you see, my thing is then you know and this kind of goes now into the Cosmo discussion is I materially do not believe that sellers should be doing anything differently right now. To me, the people who Rufus and Cosmo might help, if anything, is the people. It's kind of like maybe leverage or leveling the playing field a little bit for some of the people maybe who are not doing the best practices.   You know, maybe I didn't put all the right keywords in my listing and so I wasn't indexed for it on day one, but then Cosmo or whatever, over time recognizes that the people who are buying my product are actually looking for it for this certain use case. It's kind of like what you and I showed last year on the podcast where noodle camera. Right, you know, noodle camera was not that keyword, was not at the time, I don't know about now, but was not in any listings on Amazon and it didn't have much search volume. So it's not like it was a big loss. But Amazon learned and we don't again. We don't know if this was Cosmo that did it or it's just Amazon algorithm, you know but Amazon learned that, hey, these people who are searching a noodle camera, they're actually looking for this stethoscope kind of camera that looks like a noodle, and so who don't? We don't know how long it took for that to actually become indexed as something, butthat's a benefit you know like. But at the end, if noodle camera was an important keyword, I, if I would have put that keyword in my listing from day one, I would have been the only one searchable. I wouldn't have had to wait for Cosmo or whatever A9, to kind of learn about that. And so again for the person who only keyword stuffs right, you're like, hey, I'm going to pull all my keywords from Cerebro and Magnet and just throw it in my listing and try and get it, each keyword four times.   Yeah, you know what? You probably should change your, your methodology, because that's not. That hasn't been the best way of doing things for years. But we've been teaching here at Helium 10 that you have got to talk about pain points to your product solves in your listing. You've got to show it in the images. You know what use cases. If you have collagen peptides, you've got to show people using it in their coffee. Not that they use the keyword coffee to search for collagen peptides, but that's how they are searching for it. They want something that is going to dissolve well in their coffee, and so you've got to be indexed from day one. You've got to talk about what pain points your product solves, and then that's what's going to put you on the radar of these Amazon AI things. And so in that sense, I don't think a seller's you know, most sellers should be changing their methodology at all because of any of these new things. What are your thoughts on that.?   Kevin Dolan: Yeah Well, I mean, I think it'll first be helpful to talk about what Cosmo is and what Cosmo isn't, because I've been reading a lot of the blog articles, watching the videos and I'm seeing something that tends to happen in tech sometimes, where a word or a technology is being used as a stand-in for some broader movement within the space. I'm seeing a lot of people conflating Cosmo, which is a specific research paper, a specific tool that was built and was tested. It's described very specifically in a scientific paper. Cosmo is this tool, but I think it's being used more broadly to capture a shift into focusing more on semantic search and less on lexical search, which is exactly what I had come on last year to talk about.   Amazon has been working on this for years and years, improving their search algorithm to not rely on a listing creator to actually put a specific keyword in their listing and then find it based on the existence of that keyword in the listing. Instead, try to understand the meaning of a product, how people use it, what people think about the product and all of these kinds of details, so that when somebody types in a search, it can effectively find the product that they're going to want to buy. That is a shift that's been happening for years. That predates transformer models, but we have started to see for sure an increased ability to actually do these things on Amazon. I think that what you're saying is correct. You know the best practices and what sellers should be doing with their listings hasn't changed. But that really depends on what they were doing, whether they were following the best practices to begin with. You know like you said, if they were keyword stuffing trying to find as many keywords as people might type into a search box and stuff it into their listing in as literal a fashion as possible to make Sammy-looking listings that cover as much search volume as possible yeah, that's a bad practice, and as we move into a more semantically focused search world, that becomes an even worse practice. Semantically focused search world that becomes an even worse practice.   What it also tells us is that some of the efforts that are required today to create listings that do involve inserting specific keywords and things like that. You may be able to shift your focus to what would actually be more helpful to customers, which is accurately describing your product, accurately describing how your product will be used and targeting specific customers and specific pain points. The more specific you are and the clearer and more accurate you are, amazon wants you to be in front of the customers who want to buy your product. So that's always going to be a good practice and that's ultimately what Amazon is trying to do when they're doing these types of experiments.   Now the Cosmo paper is interesting. The Cosmo paper was tested on a really large chunk of Amazon traffic using a very heavy, large language model. Compared to prior research, which does tell us that Amazon has made investments in the server capabilities to be able to run these models in production and keep searches within their tight latency expectations, so that, I would say, is certainly significant, it tells us that Amazon does have the hardware capacities to run some of these more advanced models and it tells us that we are going to see an increased focus on semantic search. I think that does affect consumer behaviors, it does affect the way that we rank for keywords, but what it doesn't affect is that best practice of describing your products accurately.   Bradley Sutton: Based on those scientific documents. What are some of the things where, again, just because it's in the science document doesn't mean that it's going to be implemented. But, you know, based on the results and sometimes you can kind of tell like, wow, this one had some pretty amazing results, so it's probably for sure going to be implemented. Can you talk a little bit more about the kind of things that maybe you've seen already implemented or you think will be based on all you know? Again, nobody has read more Amazon science documents than Kevin here. So what would you predict as far as the future, the next year or so?   Kevin Dolan: I mean, Cosmo is a specific tool and I think that the function that it performs is valuable to enhancing Amazon's understanding of a listing. So I certainly would not be surprised to see Amazon implementing this in a production capacity on a large swath of searches. That would not be surprising to me, but it's not as massive as the shift that we've seen into semantic focused search. Cosmo in particular discusses essentially a mechanism for enhancing Amazon's understanding of a product by taking into consideration things that aren't expressed in the query and things that aren't expressed in the listing. The example that they use in the paper, the canonical example, is if you're looking for shoes for pregnant women, a listing might not literally say shoes for pregnant women. It might produce a specific type of open-toed shoe that has good support, good comfort. That might not literally be listed as a keyword in the listing, but it might be something that the system can infer based on its knowledge of the universe, about what it's like to be a pregnant woman and the types of products that they might benefit from.   Cosmo is essentially a mechanism for enhancing listings with additional information to get closer to the user's intent based on a particular search.   If you zoom out and you look at the broader task of semantic search. That's always been the focus. The goal is something might not be said in the same language in a query as it might be when it's written in a listing, when it's answered in a question or when it's written in a review be when it's written in a listing, when it's answered in a question or when it's written in a review, and so the domain of language that's used for these two different ways of expressing thought aren't the same, and so we need to create algorithms that better understand what a user actually means when they type in a search, and what a product actually does and what functions it performs. This idea of understanding deep intent and the actual composition of a product is essentially the goal, and we are seeing for sure that Amazon is making these changes. We're seeing more results come back for listings that do not literally have the keywords typed into search and better match what is a user's real intent on shopping.   Bradley Sutton: But for it to learn that something is a good shoe for pregnant women, it basically would have to have some context, like maybe the reviews. Like somebody said, oh, I was in the second trimester and this was great. It's not going to pull that out of nothing unless, no, I was going to say maybe it knows that. Like, maybe somehow it knows the customer is pregnant and then, without even a review, it's a wow. We see an abnormally large number of pregnant women who are buying this. But I don't, I don't know. I mean, I think I big dad.   Kevin Dolan: I could tell you that, Cosmo, the paper itself does. You're talking about what's usually called avatar personalization, based on your purchase history. I know some things about you. I can kind of put you in this category of person, and I know that these types of people tend to buy these types of products. The Cosmo paper doesn't actually explicitly discuss testing avatar personalization. Doesn't actually explicitly discuss testing avatar personalization. What it does talk about is using recent Search Queries to better contextualize later Search Queries. So like, for example, if I'm searching for camping gear and then I search for mattress after that, there's a good chance that I specifically mean a camping mattress or an inflatable mattress rather than a mattress for a bed in your home that weighs 200 pounds. It can better contextualize a particular search query based on the searches that you've been performing in the recent past.   Avatar personalization is another thing that Amazon is always investigating and we have yet to see any really material evidence that it's been implemented. Almost all of the studies that I've read relating to that type of personalization they talk about the potential of it, but in practice they tend to perform pretty poorly. They either reduce sales or they don't materially impact sales, which is a major problem. They don't materially impact sales, which is a major problem, especially considering that cost of performing that personalization. Amazon does a lot to make sure that the searches that come back are within a very tight latency. They need to come back as quickly as possible and that's very important to the shopping experience. The more personalized search results are, the more expensive those search queries are going to be to run and the longer it's going to take, which materially affects your experience as a purchaser. Yes, hardware is improving. Yes, technologies are improving, but if you can just reuse results, it's always going to be a lot faster than if you compute it on the fly.   Bradley Sutton: But then, still, using the same example, I think, if you knew that, hey, your shoes have good cushioning and you designed it actually for pregnant women to be able to use, the best practice still is to put that keyboard in your listing for day one, so that at least you have a. You know, you don't have to wait for the AI to learn based on activity, you know. But then, if it's not something that's readily like, maybe you had no idea that people were using your shoes for gifts for people who are pregnant, like, maybe you had no idea. That's where, like, I think Cosmo, Rufus and stuff is going to help to uncover these sub-niches of people who are getting your product. But again, at the end of the day, this scenario, I don't think there's anything different that the seller needs to do as far as with their listing that we haven't already said. Now, at the same time, maybe they learn. I think this is going to open up some new potentials down the road. Like, let's say, Helium 10 starts seeing what the common Rufus things are being said about the product or what's the common queries. Maybe Amazon will make that available for sellers through some API that says, hey, this persona is buying your product.   Well, maybe I would go into my listing and change one of my images to show a pregnant person walking around with these shoes. But again, that's what you should have been doing for years. You know, like when you read your reviews and you notice like I used to sell this or I still do sell this egg tray, and I was reading the reviews one day and people were using this egg tray, this wooden egg tray, to as a serving platter for like sushi and also these chocolates, because you know the holes for an egg tray is very similar I was like I never would have thought that so in that situation, who knows, maybe Rufus would have seen the reviews and saw these images and now, all of a sudden, even though I don't have chocolates or sushi in my egg tray listing, I would be searchable for those keywords. But again, as soon as I would have seen that review or known that people are using my product in a way and this is what I did years before AI. You know cause this was years ago that I did this I went in and I did a reef photo shoot showing other use cases of it and I did one image, or like a quadrant of four images that showed somebody putting sushi in it, somebody putting chocolate in it, somebody putting this and that's, and then I put it in my listing too.   So, I was like I didn't want to wait for Amazon to hopefully index me for these keywords. So again, I just go back to the point that what Amazon is doing is not really making things where sellers are going to have to do something completely different, but they they're helping maybe the sellers who haven't been doing the best practices to get indexed for keywords that maybe they weren't smart enough to put in their listing. Yeah, I mean, I think so.   Kevin Dolan:            What you're ultimately seeing with Cosmo is taking information from Amazon's entire catalog, which includes billions of products, billions of product listings, billions of questions, billions of answers, billions of reviews.   There's a lot of information contained in all of that data, which starts to build a picture of how the universe works, and so, in a sense, you could think of it as Amazon using the information it's learned from existing listings to enhance all listings and build a more comprehensive picture of their catalog.   I totally agree with you that it doesn't change the best practices, and still, I would say it's now even more critical that you are taking into consideration the use cases for your products, the people who might be using it, and accurately describe these in your listings. I think that that is still absolutely the best way to rank for products. I think what it does is it shifts focus from some of those old school techniques that we were probably recommending 10 years ago. It's no longer necessary for you to enumerate all possible customers of a product, but instead focus on the key use cases and the key customers to your products, describe these things as accurately and as naturally as possible. It's not required for you to think of all the ways that you could possibly say pregnant woman. Instead, you can just describe the fact that this is useful for a person who is pregnant.   Bradley Sutton: Outside of Cosmo, Rufus. Obviously, they announced a lot of things at Amazon Accelerate, like Amelia for Amazon sellers. Any comments on other things that Amazon have been working on the AI front? Yeah, I mean I would say Amelia is Amazon sellers. Any comments on other things that Amazon have been working on the AI front.?   0:36:59 - Speaker 2 Yeah, I mean I would say Amelia is certainly interesting. Amelia is Amazon's internal chatbot for Seller Central. You know, I've yet to play with it. I've yet to see anybody who's actually had access to it, so I think it's just an early announcement. Maybe some limited people have access, but I would imagine it's going to undergo the hype cycle that we see for most chatbots, including Rufus. There's going to be a lot of excitement. The initial version will be pretty terrible. It will slowly get better over time.   The question is whether it will continue to receive enough investment to make it into a chatbot product that is useful for people, and whether chat is as natural an interface.   As you know, Seller Central is in and of itself. You know, I think we've spent a lot of time over the past 30, 40 years developing software interaction paradigms, so we have a good idea of what is easy to use software. There is potential that we could be using these more chat oriented interfaces to get to our vague intents that we have in our head a little bit more quickly, but we haven't really proven that out yet, and so I would say Amelia has a very similar potential to Rufus in that it's something that I believe could be useful if it is properly invested in, but the jury's still out on whether or not it's going to be a material impacting to people's workflow as you start to get access to it. I do recommend that sellers give it a try, just like with any of these tools see if it's useful for their workflows, but I'm not really holding my breath on it being revolutionary.   Bradley Sutton: A lot of the recommendations that Amazon gives in Seller Central is. I think a lot of sellers have learned to just ignore them because they're not exactly that useful.   And then. So, if this is, it's like putting lipstick on a pig, you know like sure you could put the AI word up, but if it's being based on something that you don't trust in the first place, you know, might be a little bit of time before we can implement it, but I think that Amazon is definitely moving in the right direction and that Amelia has nothing to do with the customer. You know, like we always say, Amazon is all about the customer, which is true, but I think that's just in itself is a step in the right direction, that, hey, Amazon is doing things that are going to try and help the seller, and that's a trend I've been seeing over the last few years. I think it's a very nice step in the right direction.   Kevin Dolan: On that front, we've definitely been seeing Amazon release features in Seller Central using AI that are more seller oriented, that help sellers to understand their products. They've released their own features for review analysis, which does get some basic, surface level summary statistics that could be helpful for people. I think Amazon is making investments there. However, they're always going to be a little bit step removed from the customer. They're always, at the end of the day, competing with sellers to some degree. There are certain things that they can do, certain things that they're limited on in terms of where their interests lie versus where the sellers lie, and so that's where tools like Helium 10 become much more valuable to customers, and so I do recommend that you look at the full suite of tools that you have available to you, because there's going to be things that Amazon will implement and there's going to be things that they're going to be hesitant to implement, for whatever reason.   Bradley Sutton: All right. Well, Kevin, thank you so much for riffing on this with me. It's something I'm passionate about because I'm all about. I'm not like Amazon, I'm all about the sellers, not about the customers, and so anything that affects sellers or you, you know, if there's going to be some big inherent change in the way that sellers need to do things, then I get very passionate about it. And especially when I hear I don't want to, you know, use the word misinformation, you know out there, but almost like scare tactics or just clickbaity stuff, which I just did in this very podcast with the title of it but with at least, if you're in a clickbait, at least let people know that what the real situation is, because I don't want I've had so many sellers come up to me because of just hearing things where it's like, oh, my goodness, I've got to change everything I'm doing for my keyword research.   I've got to change everything I'm doing for my listing optimization. And right now, the fact of the matter is, no, I'm still doing the exact same things I did last year. There are some slightly different things because there's new rules at Amazon of what you can and can't do and of course, I've switched, but as far as the way I make my listings and I structure it and how I do my keyword research. Not one iota different am I doing it now, and I have had the exact same success with getting to page one on all my main keywords and getting sales for the keywords I think I'm relevant for.   And so I think that's just important to know, guys, that as AI evolves, I'm sure I'm positive there's going to be new things that we might have to do as sellers and stay tuned. We'll let you know what those are, but right now, as long as you've been paying attention to our tutorials the last few years, you're not having to do anything different, in my opinion. So, anyways, thanks, Kevin, let's definitely bring you on in 2025. And you know, who knows, maybe AI will be we'll be driving all of our cars and we're driving like the Jetsons or something. I don't know what's. What's going to happen, but we're going to find out with you next year.   Kevin Dolan: Super excited. Thanks for having me.