Retailgentic: Agentic Commerce meets Retail and Brands

Nitin Mangtani, SVP & GM of Salesforce Commerce Cloud and former founder of PredictSpring, shares his remarkable journey through commerce technology. He discusses his early days at Google, launching innovative search products that transformed online shopping. Nitin dives into the evolution of PredictSpring, pivoting from mobile commerce to an enterprise POS solution, and the lessons learned from competition with giants like Shopify. Lastly, he explores the future of AI in retail, highlighting the potential of agentic commerce and how automation will reshape shopping experiences.

In this episode of Retailgentic, host Scot Wingo sits down with Johnathan McGowan, co-founder & CEO of PayOS, to discuss how AI agents will handle payments safely and compliantly.From Visa and Mastercard partnerships to the first live Agentic token transaction, Johnathan explains how “day-one-ready” infrastructure will power the future of Agentic Commerce.Timestamps:01:56 — Meet Johnathan McGowan, co-founder of PayOS04:00 — From Visa to PayOS: the founding story06:40 — What Agentic Payments really mean08:10 — Partnering with Visa & Mastercard10:25 — “Day-one-ready” vs new payment rails12:50 — What PayOS actually does15:30 — Agent builders and early use cases18:40 — Understanding “intent” in payments21:50 — Future-proofing across protocols (AP2, ACP, etc.)24:55 — How the first live Agentic transaction worked29:50 — Why PCI compliance & trust matter36:00 — The global scale of Agentic CommerceAs AI agents start making real-world transactions, companies like PayOS are making sure those payments are not just possible, but trusted, secure, and global from day one.👉 Connect with John: https://www.linkedin.com/in/johnathanm/👉 Learn more about the PayOS: https://www.linkedin.com/company/payos/🧠 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

Ronnie Chatterji, Chief Economist at OpenAI and former Duke University professor, shares insights from his study on ChatGPT usage. He discusses the evolution of consumer behavior from asking to doing, revealing surprising data insights. AI's role in transforming shopping, particularly through voice and vision, is highlighted as a game-changer. Chatterji also emphasizes the importance of writing support and notes that purchasable products currently represent just 2.1% of interactions. The future of agentic commerce promises exciting developments.

Caila Schwartz, Director of Strategy and Consumer Insights at Salesforce, dives into thrilling trends transforming holiday shopping. She reveals how AI will influence 21% of global holiday spending and why 'discovery' is the year's key theme, replacing traditional discounts. Baby Boomers are now using AI tools like ChatGPT for their shopping, while Gen Z is reigniting the mall experience. Caila also discusses the quirky return of 'Discount Chicken' and the shifting dynamics of consumer loyalty in an evolving retail landscape.

In this episode of Retailgentic, Scot Wingo talks with Manil Uppal, Founder & CEO of CartAI, about building the “execution layer” of agentic commerce, where AI agents don’t just recommend products, they buy them. From his early startups acquired by H-E-B and UPS to his vision for CartAI, Manil shares how his team is solving the hardest problem in agentic shopping: completing checkout seamlessly across any retailer.Key Timestamps00:02:00 – Manil’s background: from delivery startups to AI infrastructure00:09:00 – The “aha” moment: from “Where to Buy” to “Go Buy It”00:15:00 – The 3 layers of Agentic Commerce: Catalog, Payments, Checkout00:20:00 – How CartAI executes merchant-native checkouts across platforms00:26:00 – Why retailers need a whitelist for good agents00:33:00 – Handling out-of-stocks, variants, and dynamic pricing00:40:00 – Thoughts on ChatGPT’s new ACP standard00:43:00 – Lessons from early food delivery startups for agentic commerce00:46:00 – The future: vertical AI apps, expert agents, and commerce everywhereAgentic commerce is evolving fast and CartAI is building the rails to make it work.👉 Connect with Manil: https://www.linkedin.com/in/maniluppal/👉 Learn more about CartAI: https://www.cartai.ai👉 Explore their substack: https://substack.com/@cartai🧠 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

In this engaging conversation, Scot Wingo, a serial entrepreneur and marketplace expert, dives into the transformative world of Agentic Commerce. He shares insights from his journey with ChannelAdvisor and reveals how AI tools like ChatGPT can revolutionize shopping experiences. Scot discusses the challenges of messy product catalogs and the importance of loyalty in the evolving e-commerce landscape. He also explores how agentic browsing can streamline pricing for consumers, setting the stage for the future of retail.

Jason Nyus, General Manager of North America at Shopware, boasts over 25 years in e-commerce, including a significant tenure at Digital River. He discusses the rise of agentic commerce and the formation of the Agentic Commerce Alliance, designed to foster an open ecosystem. Jason explains Shopware's focus on mid-market complexities and its innovative freemium model. He also predicts a future where a billion-dollar brand operates without a website, with agentic commerce potentially comprising 25% of e-commerce by 2030.

Jordi Montes, Founder and CEO of SimpleCheckout.ai, shares his transformative journey from the Bitcoin Lightning Network to creating a unified payment framework for AI-driven commerce. He reveals how the capabilities of AI inspired agentic payments, emphasizing the need for payment systems that evolve beyond traditional browsers. Dive into his vision for L402, a protocol for AI agents, and why personalization will reshape online retail. With a focus on making payments agnostic, Jordi discusses the future of agent-to-agent transactions and the role of developers in this revolution.

In this episode of the Retailgentic Podcast, Scot Wingo sits down with Melissa Minkow, Global Director of Retail Strategies & Insights at CI&T. Melissa shares her perspective on consumer behavior, why ingrained shopping habits stick, and how agentic commerce will shape the future of retail.We cover:- Why consumer habits are so hard to change, even in grocery shopping- Exclusive sneak peek: fresh survey data showing 75% of consumers now use AI in their path to purchase- How agentic commerce could transform loyalty, pricing, and even group buying- Lessons from Target Canada and why back-office AI matters more than flashy consumer tools- Why TikTok might be the blueprint for agentic retail experiencesRetail is changing fast and the agentic future is already here. Subscribe for more conversations, insights, and data shaping the next chapter of commerce.Timestamps:00:00 – Consumers are routinized: why habits stick01:08 – Introducing the Retailgenic Podcast02:15 – Guest intro: Melissa Minco of CI&T04:06 – Melissa’s background: from Anthropologie to Target to CI&T08:52 – Target Canada lessons & retail systems breakdown12:00 – Apps vs. consumers: adoption, trust, and pushback15:00 – Agentic commerce: inside vs. outside view19:00 – Will consumers build their own shopping agents?23:00 – Exclusive data: 75% of consumers now use AI in their path to purchase28:00 – Sponsored GEO and consumer trust33:00 – Agent strategies: retailer, consumer, and third-party36:00 – Best practices: getting your “back office” right first40:00 – Checkouts, marketplaces, and the future of digital retail46:00 – Loyalty in the agentic era: Gen Z, UK vs. US, and discounts50:00 – Group buying, negotiation, and dynamic pricing56:00 – Reading the tea leaves: websites, zero-click, and consumer control01:00:00 – Melissa’s “personal agents” vision of the future01:05:00 – TikTok as a model for agentic commerce01:08:00 – Wrap-up & closing thoughtsReport drops at CI&T website soon: https://ciandt.com/us/en-us🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube: youtube.com/@retailgentic🎧 Listen wherever you get your podcasts: Spotify, Apple, etc.

Dr. Amine Allouah completed his PhD at Columbia Business School, specializing in algorithmic game theory and optimization in multi-agent systems. After leading applied science work at Meta across ads, notifications, and marketplace teams, he co-founded My Custom AI to help enterprises deploy tailored AI solutions. His work bridges deep theory with practical applications, shaping how businesses think about LLMs, agents, and the economics of AI.This week on Retailgentic, we’re joined by Dr. Amine, co-founder of My Custom AI and one of the sharpest minds at the intersection of AI, economics, and retail. In this conversation, we dig deep into:Amine’s journey: École Polytechnique → Columbia → Meta → entrepreneurshipWhat algorithmic game theory means for real-world AI systemsWhy enterprises need custom models for accuracy, privacy, and cost savingsThe ACES Framework: how agents really “shop” onlineSurprising findings: agents ignore ads, but positioning still mattersWhy MCP isn’t enough, and what’s next for protocolsImplications for retailers, brands, and the future of retail mediaIf you’ve ever wondered how agents will reshape retail and what brands need to do right now to prepare, this episode will give you a front-row seat to the future of agentic commerce.Highlights/Timestamps ⏱️0:00 – How agents drive omnichannel growth beyond e-commerce5:00 – Meet guest Amine Allouah: from École Polytechnique to Columbia PhD9:30 – Game theory, algorithm design, and AI: lessons from his PhD13:45 – From Meta AI researcher to startup founder: the origin of My Custom AI18:10 – What My Custom AI does: feasibility studies, custom model training & workshops23:25 – Why retailers sometimes need their own LLMs: accuracy, privacy & cost savings29:20 – Beyond LLaMA: multimodal models, recommendation systems, and custom architectures34:05 – The ACES Framework: building a sandbox to study agent shopping39:16 – Optimizations around pricing, loyalty & group buying39:24 – Why group buying startups have struggled39:35 – Aligning buyer and seller agents for better outcomes44:15 – Agent behavior insights: Claude and the “ergonomic” keyword example48:50 – The case for seller-side agents and real-time PDP updates51:31 – Amazon is the first company to adopt the ACES framework55:00 – Retail media networks in an agent world: real-time “agentic ads”58:00 – Will websites die? The future of browsing, checkouts & merchant centers1:01:00 – Closing thoughts + where to find Amine & the ACES paper🧠 Want to stay ahead in AI commerce? Subscribe and follow along:📰 Subscribe to the free Substack: retailgentic.ai📺 Watch episodes on YouTube: youtube.com/@retailgentic🎧 Listen wherever you get your podcasts: Spotify, Apple, etc.