Retailgentic | Consumer Behavior & Retail Trend

Scot Wingo | Retail Trends Analyst

Retailgentic explores consumer behavior and retail trends to help brands and retailers innovate. Join Scot Wingo for expert insights, actionable news, and ecommerce innovation strategies to navigate the future of retail and agentic commerce.

  1. 1d ago

    Stripe Global Agentic Commerce Solutions Lead Danny Smith: The Rise of Personal Agents Powered by Link Wallet, WebMCP and More!

    Danny Smith is the Global Agentic Commerce Solutions Lead at Stripe, where he runs technical go-to-market (think pre-sales architect, not engineering) for Stripe’s agentic commerce products. One of his first projects was adding the payments layer to Amazon’s Rufus shopping assistant, and three years ago he got on stage at Stripe Sessions to talk about agentic commerce.  We recorded this one live from day two of RetailClub in Huntington Beach. It was a little overcast, which after a day of baking in the sun, we didn’t mind at all. Jason Goldberg joined me as co-host, and we grabbed Danny between meetings. It was his first time at the show. Danny’s a first-timer, both on the pod and at RetailClub. This week’s episode is a product deep dive: Stripe has been shipping agentic commerce products at a pace that makes three months ago feel like ancient history. Danny walks us through what’s live, what launched last Monday, and what’s coming soon, including how the checkout Scot kept seeing inside Meta’s new Muse app actually works. Jason brings the payments-industry history. It goes back to when card-not-present transactions were illegal and runs up to Stripe’s jump from developer darling to incumbent. We also get into the thing that’s still breaking agentic commerce today, and it isn’t the agents. Along the way there’s a hallucinating agent, a leather jacket, and a Cheeky Pint swag request. Hit play. Highlights  𝗟𝗶𝗻𝗸 𝗪𝗮𝗹𝗹𝗲𝘁 𝗳𝗼𝗿 𝗔𝗴𝗲𝗻𝘁𝘀: A skill you teach any agent (Claude, GrokBot, your homebrew Hermes agent) so it can pay “in a guarded and secure manner.” Details at link.com/agents.“𝗬𝗼𝘂𝗿 𝗔𝗣𝗜 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗺𝘆 𝗹𝗶𝗳𝗲”: Developers really do stop Danny at conferences to ask for a photo. Stripe’s founders’ mantra: “Let’s win all startups, and then let’s go win them again.”𝗢𝗽𝗲𝗻 𝗵𝗲𝗮𝗿𝘁 𝘀𝘂𝗿𝗴𝗲𝗿𝘆: Changing payments at an enterprise is “like open heart surgery.” Jason adds that it’s open heart surgery while you’re running a marathon.𝗪𝗼𝗿𝗹𝗱’𝘀 𝗳𝗶𝗿𝘀𝘁 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘁𝗼𝗸𝗲𝗻: Stripe’s shared payment tokens launched with OpenAI, and Etsy was the first merchant. Link wraps them as a single-use virtual card capped at the amount you budgeted, so the merchant doesn’t have to be on Stripe.𝗦𝘁𝗿𝗶𝗽𝗲 𝗖𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗳𝗼𝗿 𝗔𝗴𝗲𝗻𝘁𝘀: Launched last Monday and built on WebMCP, it makes human checkouts machine-readable at the same time. Stripe merchants on hosted checkout or invoices get it with no extra work.𝗧𝗵𝗲 𝗪𝗲𝗯𝗠𝗖𝗣 𝗻𝘂𝗺𝗯𝗲𝗿𝘀: 42% fewer tokens burned, 38% fewer tool calls, and 39% faster checkout. “Three seconds is annoying to a human, 800 milliseconds is beyond annoying to an agent.”𝗗𝗼𝘂𝗯𝗹𝗲𝗱 𝘄𝗲𝗯 𝘁𝗿𝗮𝗳𝗳𝗶𝗰: Through the Agentic Commerce Suite (ACS), some merchants have doubled their web traffic in three or four months just by getting their catalogs in front of agents. Instant checkout on Gemini is expected around late October.𝗗𝗼𝗼𝗿𝗺𝗮𝗻 𝘃𝘀. 𝗯𝗼𝘂𝗻𝗰𝗲𝗿: Most merchants are bouncers that block all bot traffic, and bots were already 53% of internet traffic in 2024. Stripe is working on protocols to tell good bots from bad ones.Stripe is building both sides of the agentic transaction, and Danny is the one out there getting retailers across the line. Enjoy the conversation. Timeline00:27 Welcome to Retailgentic01:44 Live from Retail Club, day two02:05 Meet Danny Smith, Stripe02:38 From cloud architect to Stripe03:48 Adding payments to Amazon's Rufus04:55 Stripe launches agentic commerce06:08 Jason on payments history & developer-first Stripe07:40 "Your API changed my life"08:40 Enterprise payments = open heart surgery09:05 Meta Muse and the Link checkout10:25 What is Link Wallet for Agents?11:00 The weekend Meta scramble12:20 GrokBot, Instinct & the pipeline13:55 How Link works at non-Stripe merchants14:35 The model airplane story15:40 The world's first agentic token16:05 Stripe Checkout for Agents & WebMCP17:10 Two sides of the same coin17:55 Agentic Commerce Suite & doubled traffic20:55 WebMCP numbers: 42% fewer tokens22:10 The leather jacket that got blocked23:50 Doorman vs. bouncer25:10 Danny's first Retail Club26:30 Wrap 👉 Connect with Danny: https://www.linkedin.com/in/danny-r-smith/👉 Learn more about Stripe: https://stripe.com 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Stripe Global Agentic Commerce Solutions Lead Danny Smith: The Rise of Personal Agents Powered by Link Wallet, WebMCP and More!

  2. Sep 17

    Elastic Path CEO Bryan House: The $3M Ecommerce Platform “Re-platform” is Dead, What’s Next?

    This week’s episode is a platform deep dive with one of the longest-tenured companies in e-commerce. Elastic Path has been building commerce software for 26 years and Bryan is now steering the company straight into the agentic era.  It’s part founder-journey (craft brewing to CEO is not a typical path), part product deep dive, and part industry-shift conversation about what AI does to the economics of running a commerce platform. Highlights:  𝗙𝗿𝗼𝗺 𝗯𝗿𝗲𝘄𝗲𝗿 𝘁𝗼 𝗖𝗘𝗢: Bryan spent eight years as a professional brewer, with an actual brewing degree, at a brewpub across from Fenway Park. "Everything I learned in my career that really moved the needle for me, I learned as a brewer."𝟮𝟲 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲: Elastic Path's claim to fame was building the store for the Vancouver 2010 Winter Olympics, the birth of its self-managed commerce product.𝗧𝗵𝗲 $𝟱𝟬𝟬𝗞 𝘂𝗽𝗴𝗿𝗮𝗱𝗲, 𝗸𝗶𝗹𝗹𝗲𝗱: Elastic Path built an AI updater so one developer can upgrade a self-managed platform in about two weeks, replacing what used to be a half-million-dollar annual project.𝟭𝟬,𝟬𝟬𝟬 𝘃𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻𝘀: where typical platforms cap out at 250 variations per item, Elastic Path supports 10,000, plus bundles of up to 1,500 items.𝗦𝗶𝘅 𝘄𝗲𝗲𝗸𝘀 𝗮𝗻𝗱 𝟭𝟬𝟬 𝗴𝗿𝗮𝗻𝗱: Bryan's prediction… AI takes re-platforming from a 6-month-to-2-year, $500K–$3M digital transformation down to a setup fee. "That's the place we're gonna see the biggest impact of AI in commerce."𝗧𝗵𝗲 𝟴𝟬-𝗽𝗮𝗴𝗲 𝗣𝗗𝗙: in a world of AI discovery, every product needs the equivalent of an 80-page PDF of data to train the LLM on when to recommend it. (Scot's line, which Bryan says he "steals with credit" as often as he can.)𝗣𝗿𝗼𝗼𝗳 𝗶𝗻 𝗻𝘂𝗺𝗯𝗲𝗿𝘀: a UK custom greeting-card seller saw conversion jump 40% almost immediately after adopting Elastic Path's checkout𝗡𝗼𝗯𝗼𝗱𝘆 𝘄𝗮𝗻𝘁𝘀 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀: customers are asking about UCP and ACP, discovery, and the long tail, not chatbots. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗿𝗼𝗮𝗱𝘀 𝗮𝗿𝗲 𝘄𝗲𝗹𝗹-𝗽𝗮𝘃𝗲𝗱: Bryan's framework for where AI lands first… well-understood patterns like checkout, front ends, and reorders, not judgment-heavy edge cases.Bryan is a product guy after our own heart, and this one gets satisfyingly deep, from CPQ to protocols to the future of re-platforming. Enjoy the conversation. Timestamps:03:20 Welcome Bryan + podcasting since 200904:05 Internet Retailer booth memories04:55 From craft brewing to software07:35 The Acquia and Drupal years08:20 Moltin, Neural Magic, joining Elastic Path11:05 Elastic Path history: the Olympics store13:20 Two products: SaaS + self-managed13:45 The AI updater: killing the $500K upgrade14:50 80 people, profitable, constraints breed innovation17:00 Customer base and the B2B focus19:15 CPQ, PXM, and 10,000 variations22:45 Serena & Lily case study24:10 The MACH Alliance backstory (spicy)29:55 Vibe coding the front end + Shopify as fintech33:20 AI re-platforming: six weeks and $100K39:00 The ReFiBuy partnership + the 80-page PDF40:55 AI roadmap: workflows, promotions, analytics43:20 B2B agentic commerce and EDI47:10 UCP, ACP, and the long tail49:05 Predictions: where the roads are well-paved51:20 What's next for Elastic Path 👉 Connect with Bryan: https://www.linkedin.com/in/bhouse/👉 Learn more about Elastic Path: https://www.elasticpath.com/ 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Elastic Path CEO Bryan House: The $3M Ecommerce Platform “Re-platform” is Dead, What’s Next?

  3. Sep 10

    Exploring the Intersection of Vibe Coding and Agentic Commerce with Vercel’s Head of Retail Jaime Sorgente

    This week’s episode is a little different. We’ve has been noticing vibe-code platforms quietly showing up all over digital retail… at trade shows, in conversations with retailers and brands, and on the platforms’ own commerce pages. So we went to the source.  This is a platform deep dive with Vercel, the enterprise company behind v0 and Next.js, on what a “vibe coding” company is actually doing in our world of commerce, and it turns out the answer is: a lot more than you’d think. Highlights  𝗧𝗵𝗲 𝟭𝟬𝟬-𝗺𝗶𝗹𝗹𝗶𝘀𝗲𝗰𝗼𝗻𝗱 𝗺𝗮𝘁𝗵: A Deloitte Digital + Google study cites clients found 100ms of load-time reduction drives a 7–8% lift in e-commerce conversion. “If the thing is faster, you’re gonna convert more. It’s just math.”𝗛𝗲𝗹𝗹𝘆 𝗛𝗮𝗻𝘀𝗲𝗻’𝘀 𝗻𝘂𝗺𝗯𝗲𝗿𝘀: The Kontoor Brands-owned retailer cut load times from 2.5 to 1.5 seconds on Vercel, grew conversion 20% year over year, doubled its A/B test velocity, and blew away its Black Friday/Cyber Monday plan.𝗧𝗵𝗲 𝗰𝗼𝗰𝗸𝘁𝗮𝗶𝗹-𝗽𝗮𝗿𝘁𝘆 𝗽𝗶𝘁𝗰𝗵: Vercel in three phrases… a developer tools company, an infrastructure provider, and an open-source software factory.𝗬𝗼𝘂’𝘃𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘂𝘀𝗲𝗱 𝗩𝗲𝗿𝗰𝗲𝗹: walmart.com and target.com run on Next.js, and Under Armour, Crocs, Buck Mason, PetSmart, McAlister’s, DeWalt, Clorox, and even Meta.ai are Vercel-delivered applications.𝗡𝗼𝘁 𝗮 𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗸𝗶𝗹𝗹𝗲𝗿: Vercel doesn’t do product catalogs, inventory, or order management. It’s the storefront layer on top of your commerce platform. “We help you own your storefront and own your destiny.”𝘃𝟬 𝗺𝗲𝗲𝘁𝘀 𝗦𝗵𝗼𝗽𝗶𝗳𝘆: v0 is now deeply integrated with Shopify, so you can customize your storefront in plain English 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲𝘀 𝗵𝗮𝗹𝘃𝗲𝗱: Custom storefront projects that were planned for a year are landing in six months, six-month plans in three.𝗧𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿: Next.js 16 was built to be readable and manipulated by Cursor, Claude, and Codex, “now we have this new customer, this agent customer, who wants to interact with your code base.”𝗧𝗵𝗲 𝗹𝗶𝗴𝗵𝘁-𝗯𝘂𝗹𝗯 𝗺𝗼𝗺𝗲𝗻𝘁: Jaime’s conversion story: feeding 50-page client 10-Ks into ChatGPT in early 2023 and realizing everything about go-to-market, and the factories that make software, was about to change.This one really lifted the veil on what the vibe-code platforms are actually doing in retail, and I think we’re just seeing the tip of the iceberg. Enjoy the conversation. Timestamps: 05:29 Welcome Jaime Sorgente06:08 Jaime's path to Vercel: ChatGPT and 10-Ks12:29 Utilities vs. builders15:00 What is Vercel? The cocktail-party pitch17:10 Why retail as a vertical21:20 The Helly Hansen story24:05 Vercel's other verticals: digital natives and marketing26:45 Enabler, not competitor: where Vercel fits vs. Shopify & Salesforce29:35 Beyond the storefront: clienteling and staff apps30:45 Agents everywhere: Crocs, Amazon image annotation36:05 v0 + Shopify: customize your storefront in English37:45 Next.js 16: built for the agent customer39:20 Custom storefront timelines, halved40:35 Does owning your storefront de-risk replatforming?42:20 The 100-millisecond study44:30 The compounding effect: 4X feature velocity46:45 Next.js explained: the stage manager analogy52:20 Framework-defined infrastructure54:30 Vercel vs. Lovable, Replit, and Base4458:15 Where to learn more + wrap-up 👉 Connect with Jaime: https://www.linkedin.com/in/jsorgente/👉 Learn more about Vercel: https://vercel.com/for/retail 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Exploring the Intersection of Vibe Coding and Agentic Commerce with Vercel’s Head of Retail Jaime Sorgente

  4. Sep 3

    Behavior Beats Identity: FERMÀT Co-Founder & CEO Rishabh Jain

    This week’s episode is a deep dive into personalization, a huge category in e-commerce that’s getting rebuilt from the ground up for the AI era.  FERMÀT is an AI-native personalization platform that sits on top of your e-commerce platform and customizes the site experience based on a visitor’s behavior, not their identity. That distinction sounds subtle, but it turns out to be the whole ballgame and it connects directly to agentic commerce because agents show up with intent, not an identity. We also pick up Rishabh’s founder journey and some very candid company-building advice along the way. Highlights  𝗧𝗵𝗲 𝟮𝟬% 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗹𝗶𝗳𝘁: FERMÀT's data shows personalizing on behavior alone, even for fully incognito visitors, converts roughly 20% better than personalizing on identity and past purchases.𝗠𝗮𝗻𝘆 𝘁𝗼 𝗼𝗻𝗲, 𝗻𝗼𝘁 𝗼𝗻𝗲 𝘁𝗼 𝗼𝗻𝗲: the marketer's dream of one-to-one was "a lack of imagination", the same person is a different shopper on Instagram, Google, and ChatGPT. 𝗗𝗲𝘁𝗲𝗰𝘁, 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱, 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲: instead of humans watching a sample of session recordings and shipping site changes months later, agents trained on commerce watch every session, recommend changes, and generate the new experience.𝗧𝗵𝗲 𝗕𝗹𝗼𝗼𝗺𝗿𝗲𝗮𝗰𝗵 𝗽𝗿𝗼𝘃𝗼𝗰𝗮𝘁𝗶𝗼𝗻: identity-based personalization was state-of-the-art 10 years ago. Rishabh's take on the incumbents: if nothing changes, "their 3 to 400 million of revenue will become 2 to 300."𝗠𝗶𝗻𝗲 𝘁𝗵𝗲 𝗮𝗱, 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗜𝗗: even when an Instagram visitor is anonymous, the ad they clicked carries demographics, performance history, and frequency data… context most brands never use.𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 𝗮𝗴𝗲𝗻𝘁 𝘁𝗲𝘀𝘁: an agent is only as good as the feedback, context, and iteration speed you give it and every "actually, I also care about the collar" update is behavior data.𝗦𝗮𝘆 𝘄𝗵𝗮𝘁'𝘀 𝘁𝗿𝘂𝗲: Platforms are using AI to verify your pages and truth gets rewarded, not dinged.𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗮𝗴𝗲𝗻𝘁 ≠ 𝘀𝗵𝗼𝗽𝗽𝗲𝗿 𝗮𝗴𝗲𝗻𝘁: support agents should stick to facts and policies; shopper agents should infer.Rishabh is one of the clearest thinkers I’ve talked to on where personalization goes in an agent-first world, and his founder advice at the end is worth the listen on its own. Enjoy the conversation. Timestamps:  02:44 Welcome Rishabh 03:37 Rishabh's backstory: physics, Wall Street, PhD06:33 Building three businesses at LiveRamp07:56 Founding story: Apple ATT and iOS 14.510:33 Detect, recommend, generate12:27 Where FERMÀT sits in the stack13:57 Many-to-one personalization15:22 The Bloomreach question19:00 Does current behavior beat past behavior?21:18 The data: a 20% conversion lift22:34 The agentic commerce connection23:44 The real estate agent analogy25:41 Reading intent from incognito traffic26:28 Into the weeds: mining a Meta ad for context30:37 Side quest: the SEO cloaking myth33:47 Writing for agents, bots, and humans34:49 On-site shopper agents39:40 Company building: know your why42:38 Where to find Rishabh + the 1 to 100 podcast 👉 Connect with Rishabh: https://www.linkedin.com/in/rishabhmjain/👉 Learn more about FERMÀT: https://www.fermatcommerce.com/👉 1 to 100 podcast: https://open.spotify.com/show/6WAB5oOzco9oWrQmYmuFZ6 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Behavior Beats Identity: FERMÀT Co-Founder & CEO Rishabh Jain

  5. Aug 27

    Caila Schwartz, Head of Agentic Commerce Salesforce is Back! Holiday 2026, State of Ecommerce, Plus... “The Caila Five”

    This week’s episode is a data deep dive… two of them, actually. Salesforce just dropped a back-to-back data release: the latest edition of its State of Commerce report and its Holiday 2026 predictions. Caila Schwartz, Salesforce’s newly minted Head of Agentic Commerce Shopper Insights, walks us through both. Think of it as a rearview mirror on the first half of 2026 and headlights into the holiday season, with agentic commerce showing up in nearly every number. Highlights: 𝗧𝗵𝗲 𝟮𝟬𝟬% 𝗷𝘂𝗺𝗽: 15% of shoppers now start their buying journey with an LLM or agent, up from 5% last spring.𝗛𝗮𝗹𝗳 𝗼𝗳 𝘀𝗵𝗼𝗽𝗽𝗲𝗿𝘀: About 50% have used a general-purpose LLM, social media agent, or branded agent somewhere in their buying journey in the past 12 months, a 67% increase over last year.𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗸𝗶𝗻𝗴: Agentic search traffic converts at roughly 2.5–3.5%, about 2–3x overall conversion and far above social’s sub-1%.𝗧𝗵𝗲 𝘁𝗿𝘂𝘀𝘁 𝗻𝘂𝗺𝗯𝗲𝗿𝘀: 74% of shoppers trust agent recommendations, and over 80% feel more confident in purchases made after interacting with a brand-owned agent like Rufus or Sparky.𝗧𝗵𝗲 𝗿𝗲𝗳𝗲𝗿𝗿𝗮𝗹 𝗯𝗹𝗶𝗻𝗱 𝘀𝗽𝗼𝘁: Discovery is happening inside conversations that never send a click back to the brand site.𝗧𝗵𝗲 𝗖𝗮𝗶𝗹𝗮 𝗙𝗶𝘃𝗲: Salesforce’s Holiday 2026 predictions: non-human traffic, branded agents everywhere, social commerce acceleration, the store’s new hybrid role, and the free-shipping squeeze.𝟮𝟬% 𝗻𝗼𝗻-𝗵𝘂𝗺𝗮𝗻 𝘁𝗿𝗮𝗳𝗳𝗶𝗰: This holiday, Salesforce predicts about one in five e-commerce visits will come from crawlers and agents, not people.𝗕𝗿𝗮𝗻𝗱𝗲𝗱 𝗮𝗴𝗲𝗻𝘁 𝗿𝗮𝗰𝗲: About a third of B2C orgs have agents deployed today, over half plan to deploy within six months, and by Cyber Week one in three e-commerce sites will have a branded agent on site.𝗦𝗼𝗰𝗶𝗮𝗹 𝗴𝗿𝗼𝘄𝘀 𝟵𝗫: Social commerce is predicted to grow nine times faster than traditional e-commerce this year, and it’s high-income shoppers, even more than Gen Z, saying they’ll buy in-app this holiday.𝗛𝘆𝗯𝗿𝗶𝗱 𝗵𝗼𝗹𝗶𝗱𝗮𝘆: 37% of holiday dollars will be “hybrid sales” that rely on both digital and physical to close the deal, 80% of shoppers use their phone while standing in your store.𝗗𝗮𝘁𝗮 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗲𝗱𝗿𝗼𝗰𝗸: Four in five commerce pros say their tech stack grew over the last two years, making data unification the #1 barrier to good agents.Caila brings the receipts, real numbers on a shift most of us are still trying to eyeball. We’ll get her back in the fall when the actual holiday forecast drops. Enjoy the conversation. Timestamps: 06:30 Interview begins, Caila's new title07:20 Caila's role and 12 years at Salesforce08:30 Two reports: State of Commerce + Holiday predictions09:30 State of Commerce methodology12:50 What's new in this edition14:45 The agentic discovery shift: 50%, 200%, 15%17:25 Who's losing share in discovery19:00 Faster than mobile or social ever moved22:20 The measurability problem25:20 Conversion: 2–3x better than average27:10 Why shoppers lean on agents, by income29:30 Trust: 74% and the 80% confidence stat32:00 The branded-agent race34:30 The #1 barrier: data unification40:20 Caila Five #1: 20% non-human traffic42:30 #2: One in three sites get a branded agent43:15 #3: Social commerce grows 9x44:25 #4: The store's new role 37% hybrid sales46:20 #5: Free shipping and the K-shaped economy47:30 Decoupled transactions deep dive53:10 Top recos: unify data, turn on ACP 👉 Connect with Caila: https://www.linkedin.com/in/caila-schwartz/👉 Learn more about Salesforce: https://www.salesforce.com/👉 Check out the State of Ecommerce: https://www.salesforce.com/commerce/resources/state-of-commerce/👉 Look at the Holiday 2026 Predictions: https://www.salesforce.com/blog/holiday-retail-predictions-2026/ 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Caila Schwartz, Head of Agentic Commerce Salesforce is Back! Holiday 2026, State of Ecommerce, Plus... “The Caila Five”

  6. Aug 20

    700 Stores, 10 Million Shoppers, $3M Raised: Cooklist CEO & Co-Founder Daniel Vitiello

    This one is a build deep dive. Daniel has spent eight years on the same problem, and the answer has changed shape three times along the way: a consumer app in 2018, a shoppable recipe platform in 2023, and now a conversational shopping assistant running inside grocers’ own sites.  We go deep on the plumbing here: product catalogs, ontologies, eval systems, model selection, retail media, and what an agent does when a shopper types “taco night.” If you like knowing how these things actually work under the hood, this is your episode. Never miss the latest Retailgentic news→ Highlights: 𝗧𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀: Live in over 700 stores, reaching over 10 million shoppers, with the number of locations set to double before the end of the year. The consumer app has over a million users. 𝟰𝟭 𝗱𝗮𝘆𝘀 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝘁𝗼 𝗹𝗶𝘃𝗲: A one-line JavaScript install that reuses the retailer’s existing catalog, add-to-cart, analytics, and retail media. National scale in six weeks.𝗦𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝘀𝗲𝗹𝗲𝗰𝘁 → 𝗿𝗲𝘃𝗶𝗲𝘄 𝗮𝗻𝗱 𝗮𝗰𝗰𝗲𝗽𝘁: Daniel’s framing for the whole shift. The old era: you search one thing, you select it. The new one: the agent assembles a solution and you approve it. 𝗧𝗵𝗲 𝗲𝘃𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺: Thousands of test scenarios with grading criteria aligned to each retailer’s merchandising principles, run tens or hundreds of times to get a distribution of responses. 𝗧𝗵𝗲 𝗳𝗶𝘀𝗵 𝗿𝘂𝗹𝗲: Retailers write procedures the agent pulls when a scenario matches. One of Daniel’s favorites: if you’re cooking fish today or tomorrow, it recommends fresh. If it’s later in the week, frozen.𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮 𝗻𝗲𝘄 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲: Onboarding is essentially an interview with the business. What are your values? How do you respond? What are your merchandising principles? That becomes the agent’s identity and personality. 𝟭,𝟬𝟬𝟬 𝗙𝗼𝘂𝗿𝘁𝗵 𝗼𝗳 𝗝𝘂𝗹𝘆 𝗯𝘂𝗻𝗱𝗹𝗲𝘀: Instead of one holiday carousel every shopper sees, merchant teams define ~20 axes — price, dietary needs, brand preference — and an agentic process generates permutations personalized against transaction history.𝗔𝗜 𝗖𝗵𝗲𝗳𝘀 𝗼𝗻 𝗧𝗶𝗸𝗧𝗼𝗸: Long before ChatGPT, Cooklist ran a TikTok series generating recipes with GPT-2 and early GPT-3. The models got good at basic recipes so fast that the fun moved to challenging them to be creative.Daniel is one of those founders who has clearly built the thing himself, and it shows in the answers. We learned about a thousand things from this one. Enjoy the conversation. Timestamps:02:57 Welcome Daniel Vitiello, CEO & co-founder of Cooklist03:10 Grocery, CPG, and retailer-hosted agents: the pod's favorite topics04:46 The $1 check and the handwritten letter for loyalty data05:46 Why 2017 was the moment06:12 Inside the Cooklist app: home inventory and the AI chef07:35 AI as the thread: Kurzweil, GPT-2, and the AI Chefs TikTok series09:37 B2C to B2B, and the synergies of running both12:05 The cat food problem13:34 The core identity system: hummus, three ways15:58 Search and select vs. review and accept16:23 The spark for B2B: Target, Techstars, and saying no18:45 Recipe commerce and meal-pairing merchandising20:19 Funding: RevTech, Mercury Fund, and profitability21:56 Freemium, pro, and advertising in the app22:48 700 stores, 10 million shoppers24:28 The flagship deployment: live in 41 days25:56 Ontology, context engineering, and interviewing the retailer27:03 Non-determinism and the eval system29:06 Entry points: sparkles, suggested prompts, and PDP workflows31:01 How the catalog and inventory get in33:41 Procedures: the weekly flyer and the fish rule35:55 Cost, speed, and the token-efficient stream37:38 Model agnostic: scoring Opus against Sonnet38:15 Instacart, Storefront Pro, and winning head-to-head39:47 Retail media and Criteo40:22 Agentic search and the "taco night" problem42:02 Agentic merchandising: 1,000 Fourth of July bundles42:55 Proactive carts, and the 50% who finish in the store43:43 Smart fridges and forecasting demand44:44 Where to find Daniel 👉 Connect with Daniel: https://www.linkedin.com/in/dkvitiello/👉 Learn more about Cooklist: https://cooklist.com/ 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    700 Stores, 10 Million Shoppers, $3M Raised: Cooklist CEO & Co-Founder Daniel Vitiello

  7. Aug 13

    Physical AI Hits the Sales Floor: FrontlineIQ CEO & Co-Founder Ben Rodier

    This week Retailgentic goes full Tron… in reverse. Instead of getting sucked into the digital world, Scot steps out of it and into into the analog one, bringing the AI angle with us.  Ben Rodier is the first AI guest on the show who isn’t from e-commerce. He’s building physical AI for the sales floor: an AI sales coach for the people who sell to you face-to-face in furniture stores, apparel shops, bank branches, and beyond. It’s part founder-journey story (three companies, two exits, twenty years in retail) and part product deep dive into how you actually coach a human salesperson with AI without being creepy about it. Highlights  𝗧𝗵𝗲 𝗥𝘂𝗹𝗲 𝗼𝗳 𝟯𝟬: There’s an inflection point (around 30 AI coaching sessions) where practice turns measurable. Reps who cross it sell roughly $2,000 more per week, about $100,000 more per year, than those who don’t.𝗧𝗵𝗲 𝗰𝗿𝗼𝗰𝗼𝗱𝗶𝗹𝗲 𝗰𝗵𝗮𝗿𝘁: Plot the reps who practiced 30+ times against those who practiced 10, and the two lines pull apart into a “crocodile-shaped separation”… the clearest picture of coaching ROI Ben’s ever had.𝗧𝗿𝘂𝘀𝘁-𝗳𝗶𝗿𝘀𝘁 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲: Data (find the goal) → AI role play (practice it) → privacy-compliant listening (coach the real conversation). Each step earns the right to the next.𝗥𝗼𝗹𝗲 𝗽𝗹𝗮𝘆 𝗶𝗻 𝘃𝗼𝗶𝗰𝗲 𝗺𝗼𝗱𝗲: The coach is a ChatGPT-style voice agent trained on your company’s own playbook. It throws curveballs, like someone walking into the room mid-pitch. “No one likes to do role play with their manager. It’s super awkward.”𝗔 𝗽𝗿𝗼𝗳𝗶𝘁 𝗰𝗲𝗻𝘁𝗲𝗿, 𝗻𝗼𝘁 𝗮 𝗰𝗼𝘀𝘁 𝗰𝗲𝗻𝘁𝗲𝗿: Unlike most training software, if you practice you sell more so the tool pays for itself. 𝗕𝗼𝗿𝗻 𝗼𝗻 𝘁𝗵𝗲 𝗳𝗹𝗼𝗼𝗿: Ben invented retail-media ads on Walmart’s website in 2009 before the term existed. Google execs opened a meeting with: “Who are you, and how did you figure out how to get these properties as advertising publishers?”𝗧𝗵𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘃𝗲𝗿𝗱𝗶𝗰𝘁: McDonald’s tried a humanless AI drive-through and it “failed miserably”. They pivoted right back to a human. Ben’s bet: five years out, most buying and selling is still face-to-face.It’s not often we leave the digital surface behind on this show, but Ben’s take on physical AI, and what happens when the sales floor and the digital world finally connect, is one of the more grounded, human conversations we’ve had. Enjoy the conversation. 00:46 Welcome to Retailgentic02:01 Scot's intro: a fun diversion into physical AI03:47 Meet Ben Rodier, FrontlineIQ04:33 From a TJ Maxx floor to third-time founder06:07 Sales guy, not a technical founder06:53 Corporate to startup: the TV advertising leap07:37 Inventing retail media on Walmart's site in 200910:31 Salesfloor: the original idea13:42 Bootstrapping, PE at the pandemic peak, the Tulip merger17:19 The genesis of FrontlineIQ: Up Labs & Ashley20:10 What "physical AI" actually means21:24 Launching Jan 1, 2025 & hiring AI-native talent24:41 30 customers in under 18 months27:36 The oversubscribed seed round28:46 How it works, part 1: data & trust30:58 Part 2: AI role play in voice mode32:43 Part 3: privacy-compliant listening36:00 The Rule of 30 & the "up" system37:33 Coach the coach, God view & the control center39:48 ROI: the crocodile chart & turnover45:14 The future: cameras, glasses & Plaud pins49:23 Robots on the floor? The McDonald's test51:44 Merchandising insight from what reps hear52:36 Where to learn more & outro 👉 Connect with Ben: https://www.linkedin.com/in/benrodier/👉 Learn more about FrontlineIQ: https://www.frontlineiq.ai/ 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Physical AI Hits the Sales Floor: FrontlineIQ CEO & Co-Founder Ben Rodier

  8. Aug 6

    Baird Managing Director of Internet Research Colin Sebastian: What Wall St. Thinks About Agentic Commerce

    This week Scot goes on a markets deep dive with one of Wall Street's leading internet analysts. It’s a tour through the mega-cap playbook (Meta, Amazon, Google, eBay, Shopify) and how professional investors are actually pricing the agentic-commerce shift. Colin covers over $12 trillion of market cap across five names alone, so this is the view from the models, the channel checks, and the trading desk. This is a wide-ranging, numbers-forward conversation about where the money moves as agents become the buyers and which companies Wall Street thinks come out ahead.  Highlights: 𝗧𝗵𝗲 𝗦𝗣𝗘𝗘𝗗 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: Baird’s formula for internet winners: Scale, Product, Engineering, Efficiency, and Data. Nail all five, and the competitive advantage compounds.“𝗟𝗲𝘁 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗱𝗼 𝘁𝗵𝗲 𝘄𝗮𝗹𝗸𝗶𝗻𝗴”: Colin explains why skeptics are dramatically underestimating the size of the opportunity.𝗠𝗲𝘁𝗮 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘆𝗲𝗮𝗿’𝘀 𝘁𝗼𝗽 𝗽𝗶𝗰𝗸: Colin’s highest-conviction AI bet is Meta driven by WhatsApp business agents, Meta AI, and unmatched consumer reach. (Last year’s pick: Google.)𝗠𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲𝗰𝗼𝗺𝗲 𝗰𝗼𝗺𝗺𝗼𝗱𝗶𝘁𝘆: The real value won’t live in foundation models, it accrues to the platforms, applications, and distribution layers built on top.𝗔𝗺𝗮𝘇𝗼𝗻’𝘀 𝗼𝗻𝗲-𝘄𝗮𝘆 𝗱𝗼𝗼𝗿: By opening its catalog to AI agents, Amazon may have crossed a line it can’t reverse and that could strengthen its ecosystem even further.“𝗖𝗹𝗼𝘀𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗲𝘆𝗲𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗯𝗶𝗹𝗹𝗯𝗼𝗮𝗿𝗱𝘀”: If AI agents skip search results and category pages, they also skip the ads, putting pressure on retail media’s biggest revenue stream.𝗪𝗵𝗼 𝗼𝘄𝗻𝘀 𝘁𝗵𝗲 𝗮𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗲𝗱 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝘄𝗶𝗻𝘀: The long-term winners will control identity, payments, checkout, and fulfillment, not just discovery.𝗪𝗵𝘆 𝗪𝗮𝗹𝗹 𝗦𝘁𝗿𝗲𝗲𝘁 𝗶𝘀 𝗻𝗲𝗿𝘃𝗼𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝗦𝗵𝗼𝗽𝗶𝗳𝘆: AI could bypass storefronts and even Shop Pay. That uncertainty alone is enough for investors to discount the stock.“𝗪𝗲’𝗹𝗹 𝘀𝗲𝗲 𝗶𝘁 𝘁𝗵𝗶𝘀 𝗵𝗼𝗹𝗶𝗱𝗮𝘆”: Colin expects agentic commerce adoption to meaningfully accelerate after Q4, even a one- or two-point lift on today’s numbers would be significant.Colin is one of the sharpest lenses out there on how the market is actually pricing all of this. Enjoy the conversation! Timestamps:3:28 Meet Colin Sebastian5:04 20 years of history & the Wall Street event7:00 From bartender to Baird7:56 Baird's coverage universe & "TMT"9:29 The GTA VI mega-launch call11:12 Buy side vs. sell side, explained13:52 The SPEED framework & top picks16:16 What is agentic commerce?20:05 Sizing it: trillions & consumer surveys22:42 Meta's social-graph advantage25:05 Amazon's walled garden & the one-way door29:40 Google, UCP & why models get commoditized32:36 eBay's used-goods moat39:44 Retail media networks at risk?44:33 OpenAI, ads & the closed-loop logic48:36 Payments: PayPal, stablecoins & who wins51:57 Protocols: UCP vs. ACP52:23 Why Wall Street is nervous about Shopify 👉 Connect with Colin: https://www.linkedin.com/in/cosebastian/👉 Learn more about Baird: https://www.rwbaird.com/ 🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailgentic

    Baird Managing Director of Internet Research Colin Sebastian: What Wall St. Thinks About Agentic Commerce
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Retailgentic explores consumer behavior and retail trends to help brands and retailers innovate. Join Scot Wingo for expert insights, actionable news, and ecommerce innovation strategies to navigate the future of retail and agentic commerce.

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