Today we have a special FLASH episode - no fancy intros, just the news as it's breaking at NRF.

Consumer behavior doesn’t change overnight, even when the technology is obvious. In this episode of Retailgentic, Scot sits down with Hamish Gunasekara to unpack why agentic commerce is inevitable, why it’s moving slower than the hype suggests, and why product data infrastructure, not checkout, is the real unlock.

We cover:

• Why “fully autonomous shopping” is the wrong definition of agentic commerce
• Why consumer habits change slower than technology
• Why global mega-catalogs don’t work (and never really have)
• How vertical AI shopping experiences can thrive alongside ChatGPT
• The hidden trust and governance problem no one is talking about
• Why product catalogs are the hardest unsolved problem in commerce

If you’re a retailer, brand, agent builder, or investor trying to understand what actually matters in the agentic commerce stack, this episode is foundational.

Timestamps:
02:39 Meet Hamish & the origin of Catalog
04:55 From Afterpay to Cash App Commerce
11:30 The Naya experiment & lessons learned
14:24 How AI is changing discovery
16:08 Why catalog data is broken
18:30 Fundraising & early traction
20:48 Who Catalog is built for
23:20 Why global catalogs don’t work
28:30 The agentic commerce stack
33:40 Defining agentic commerce (correctly)
37:30 Why vertical agents will win
43:45 Trust, governance, and adoption
44:51 Where to learn more

👉 Connect with Hamish: https://www.linkedin.com/in/hamish-gunasekara/
👉 Learn more about Catalog: https://getcatalog.ai/

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Matt Nichols is back, and a lot has changed since his first appearance on Retailgentic. Scot and Matt revisit the predictions he made six months ago, look at what came true far faster than expected, and dig into the infrastructure challenges that still stand between us and frictionless agentic transactions. From SKU mapping and API-first checkout to the economics of feeds and the future of retailer traffic, this episode is a full-stack view of where Agentic Commerce stands at the end of 2025, and what’s coming in 2026.

If you want more of Matt’s backstory and Commerce Ventures’ thesis, listen to Episode 4! It pairs perfectly with this deep dive. In this episode, they cover: 

• Why VC predictions used to take 5–10 years to play out… and now take 5–10 weeks
• What Commerce Ventures is hearing from both startups and their LP base (top retailers + PSPs)
• Why ACP isn’t “the solution”—and what infrastructure still needs to be built
• The “API vs. fake-it-til-you-make-it” debate in agentic transactions
• How retailers should think about feeds, reviews, and blocking scrapers
• Why “AI magic on your own site” is step one for most brands
• Predictions for 2026: traffic shifts, wallet battles, Apple’s eventual entry, and more
• Where Matt thinks the industry is overly optimistic, and where the real upside is

If this year taught us anything, it’s that the next six months will change more than the last six years. Stay tuned.

Timestamps
05:00 — Welcome back, Matt Nichols
05:10 — Six months later, the world looks different
05:35 — Commerce Ventures in 60 seconds
06:30 — What changed in 2025?
08:00 — Standards vs. infrastructure
10:00 — Retailers’ three priorities right now
12:40 — Static feeds → AI-centric feeds
15:00 — Reviews, Q&A, and proprietary data
17:30 — SKU-level identifiers
20:00 — API-first checkout vs. agentic scraping
22:30 — Fraud, agent authentication & whitelisting
24:00 — Payments are further ahead than commerce infrastructure
27:00 — What retailers are actually worried about
30:00 — Google’s role in accelerating the shift
32:00 — Vertical agents vs. horizontal giants
34:00 — Predictions for 2026 & beyond
38:00 — Final reflections

👉 Connect with Matt: https://www.linkedin.com/in/matthewnichols/
👉 Learn more about Commerce Ventures: https://commerce.vc/

🧠 Want to stay ahead in AI commerce? Subscribe and follow along:
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🎧 Listen wherever you get your podcasts: Spotify, Apple, etc: https://retailgentic.transistor.fm

In this episode of Retailgentic, Scot sits down with Luca to unpack a research paper that blends academic rigor with real-world implications:
“LLMs Reproduce Human Purchase Intent via Semantic Similarity licitation of Likert Ratings.”

The paper, co-authored with Colgate-Palmolive researchers, explores whether AI can accurately simulate human reactions to product concepts, enough to replace or accelerate traditional consumer panels, which are slow, expensive, and hard to scale.

This one goes deep, but in ways that any retail or AI leader should care about. Scot and Luca discuss:

• Colgate’s Challenge: How to test product concepts faster and at scale.
• Synthetic Consumers: AI models that react to products like human panels.
• Accuracy Breakthrough: Reaching ~73–74% agreement with real consumers.
• Fixing LLM Failure Modes: Why naive prompts don’t work, and what does.
• Bayesian Reasoning: Adding uncertainty so AI stops being confidently wrong.
• Smarter A/B Testing: Using AI to pre-screen ideas before running live experiments.
• Digital Clones: Future consumers earning money by sharing preference data safely.
• Simulated Populations: Matching real audiences for testing and predictions.

AI isn’t just helping brands write copy or generate images, it’s beginning to think like their customers. If synthetic consumers continue to evolve at this pace, product development, A/B testing, and personalization may look completely different in just a few years.

Timestamps:
03:00 — Luca’s background: Rocket Internet, HelloFresh, Lazada, Stitch Fix
08:00 — How PyMC Labs was founded & why Bayesian modeling matters
16:00 — Bayesian thinking explained in simple terms
19:00 — High-stakes decisions & why probabilistic reasoning matters
24:00 — Colgate’s challenge: testing product concepts at scale
26:00 — How synthetic consumer panels work
30:00 — Accuracy results: humans vs. AI (~73–74%)
32:00 — Why naive LLM prompting fails (“mode collapse”)
35:00 — How reasoning → scoring solves accuracy issues
38:00 — Example: synthetic consumers evaluating PyMC’s own website redesign
44:00 — How AI can pre-screen ideas for smarter A/B testing
48:00 — Where AI cannot replace causal testing
49:00 — Digital clones & monetizable consumer preferences
52:00 — Future benchmarks, new LLMs & evaluation methods

👉 Connect with Luca: https://www.linkedin.com/in/lfiaschi/
👉 Learn more about PyMC Labs: https://www.pymc-labs.com
👉 Check out the paper: https://arxiv.org/pdf/2510.08338

🧠 Want to stay ahead in AI commerce? Subscribe and follow along:
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🎧 Listen wherever you get your podcasts: Spotify, Apple, etc: https://retailgentic.transistor.fm

#Retailgentic #AgenticCommerce #SyntheticConsumers #AIShopping #ProductTesting #CPGInnovation #GenerativeAI #BayesianModeling #Ecommerce #FutureOfRetail #DataScience #LLMs #AIResearch

In this episode of Retailgentic, host Scot sits down with Mike Edmonds, PayPal’s VP of Agentic Commerce & Commercial Growth, to unpack the massive pivot PayPal has made into the Agentic Commerce era, and what it means for retailers, brands, platforms, and developers.

Mike goes deep on:

• PayPal’s Agentic Bet: Why PayPal is going all-in on Agentic Commerce
• Merchant Anxiety, Explained: The real reason so many merchants are anxious about LLMs
• Instant Checkout 2.0: Where PayPal sees Instant Checkout heading next
• Wallets as Identity: Why wallet identity will matter more than ever
• 2030 Predictions: Mike’s bold predictions for shopping agents in 2030
• Two-Track Future: A world split between autonomous commerce and luxury human-led experiences
• Protocol Chaos Simplified: How PayPal plans to tame and unify an explosion of competing protocols
• Merchant of Record Relief: The surprising emotional fear merchants have about disintermediation

As AI agents reshape discovery, checkout, and trust, PayPal is building the rails for the future of digital commerce.

Key Timestamps:
02:15 — Mike introduces his background.
04:45 — How Mike’s career path led directly into PayPal’s Agentic Commerce leadership role.
06:20 — What “VP of Agentic Commerce & Commercial Growth” really means at PayPal.
07:48 — The biggest lessons Mike learned leading AI strategy at Microsoft.
10:35 — What merchants are actually thinking about Agentic Commerce (the real pulse).
12:18 — Mike explains the off-surface vs on-surface Agentic Commerce model.
13:10 — Why merchants feel overwhelmed by LLMs, APIs, and protocol sprawl.
14:47 — PayPal’s role as the one-to-many connector across LLMs and platforms.
16:06 — What technical pieces merchants need in place to integrate Agentic checkout.
17:45 — How on-surface conversational agents can finally boost conversion rates.
19:30 — Why conversational checkout is the missing piece in Agentic shopping.
20:55 — What the Perplexity partnership enables for checkout, payments, and reach.
23:30 — How PayPal is powering ChatGPT Instant Checkout and expanding ACP.
26:12 — Why Agentic protocols are diverging, and how PayPal navigates the chaos.
28:30 — The emotional fear merchants have of LLMs.
30:05 — Mike’s 2030 prediction
31:40 — Why some categories will automate, while luxury experiences stay human.
33:10 — Multimodal will reshape shopping through voice, gestures, and identity.
35:00 — The top concerns merchants raise in every PayPal Agentic conversation.
37:05 — Where to find Mike and what PayPal has coming next.

Announcements & press releases related to the conversations:

• Perplexity: https://newsroom.paypal-corp.com/2025-05-14-Perplexity-Selects-PayPal-to-Power-Agentic-Commerce
• Google (commerce agent for merchants: https://cloud.google.com/blog/topics/financial-services/introducing-an-agentic-commerce-solution-for-merchants-from-paypal-and-google-cloud
• OpenAI: https://newsroom.paypal-corp.com/2025-10-28-OpenAI-and-PayPal-Team-Up-to-Power-Instant-Checkout-and-Agentic-Commerce-in-ChatGPT
• AP2: https://developer.paypal.com/community/blog/PayPal-Agent-Payments-Protocol/ and https://cloud.google.com/blog/products/ai-machine-learning/announcing-agents-to-payments-ap2-protocol
• PayPal’s Agentic Commerce Services: https://newsroom.paypal-corp.com/2025-10-28-PayPal-Launches-Agentic-Commerce-Services-to-Power-AI-Driven-Shopping

👉 Connect with Mike: https://www.linkedin.com/in/michaeledmonds/
👉 Learn more about PayPal: https://www.paypal.com/us/home

🧠 Want to stay ahead in AI commerce? Subscribe and follow along:
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In this episode of the Retailgentic Podcast, Scot talks with Stu Solomon, CEO of HUMAN Security, the company analyzing 20+ trillion digital interactions every week to detect bots, fraud, and now agentic AI behavior. Stu breaks down:

• Why bots now exceed human traffic
• The 1300% growth in agentic activity
• How HUMAN identifies good vs. bad bots
• The rise of agentic logins, navigation, and even checkouts
• Why spoofing of ChatGPT and Perplexity traffic is exploding
• What retailers need to know about letting AI agents crawl their sites
• The coming world of agent-to-agent commerce

If you’re preparing for the future of retail, ad tech, AI commerce, or online security, this is essential listening.

Timestamps
02:20 — What HUMAN actually measures (bot vs human vs agentic)
03:40 — Stu’s background (military → Amazon → banking → VC → CEO)
06:40 — The logistics + retail connection
09:00 — How HUMAN works: media + enterprise security
11:00 — The digital journey from ad → login → checkout
12:11 — HUMAN at 20 trillion interactions/week
16:55 — Why HUMAN started publishing agentic data
17:50 — 1300% growth in agentic activity
18:30 — Machine traffic surpasses human traffic
19:40 — The diversification of generative AI traffic
20:30 — Agentic login + website navigation behavior
24:00 — How HUMAN distinguishes bot vs agent vs human
33:00 — The bad side: spoofed ChatGPT & Perplexity traffic
38:30 — Retailers blocking bots without realizing it
47:00 — The inevitability of agentic adoption
48:40 — The future: agent-to-agent transactions
49:30 — The end of 2FA hell?

👉 Connect with Stu: https://www.linkedin.com/in/stu-solomon-733a217/
👉 Learn more about HUMAN: https://www.humansecurity.com/

🧠 Want to stay ahead in AI commerce? Subscribe and follow along:
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In this episode of Retailgentic, Scot sits down with one of the most influential product leaders in commerce technology: Nitin Mangtani, SVP & GM of Salesforce Commerce Cloud. Their relationship goes back almost two decades, intersecting at Google, during the rise of online shopping, and now again at the dawn of agentic commerce. Nitin shares his journey from supply chain analytics at i2 Technologies, to building Google’s earliest commerce products, to founding and scaling PredictSpring, and finally leading Salesforce’s reinvention of unified and agentic commerce. This conversation is packed with history, strategy, and forward-looking insights into where AI shopping agents are taking the industry.

Timestamps:

03:20 – Early career: i2 Technologies & supply chain beginnings
10:00 – Joining Google in 2006
13:30 – Launching Google Commerce Search & Site Search
16:40 – Froogle/Google Shopping goes from “fun project” to billion-dollar business
18:00 – Comparison engines, feed specs & early retail taxonomy challenges
20:15 – Canonicalization and why product data was Google’s first “AI problem”
22:40 – Leaving Google to start PredictSpring
24:20 – PredictSpring’s original vision: mobile commerce & no-code apps
26:05 – Pivoting PredictSpring: TAM realities & shifting to Point of Sale
29:00 – Competing with Shopify POS, Square & the white space in enterprise POS
31:30 – Startup lessons: pivots, risk, funding & an 11.5-year journey
34:45 – Salesforce approaches PredictSpring: acquisition story
38:00 – Meeting Marc Benioff & Salesforce’s leadership culture
41:00 – Becoming SVP/GM: unifying Commerce Cloud, POS, OMS & Payments
44:10 – Agentforce & the Agentic Commerce Protocol (ACP) with OpenAI & Stripe
47:10 – Discovery vs checkout: why syndicated checkout is harder
49:30 – Messaging commerce: WhatsApp, SMS & conversational transactions
51:30 – Full automation: replenishment, grocery & true agentic behavior
52:45 – Why commerce is strategically important to Salesforce

Agentic commerce isn’t just a channel change, it’s a full-stack rewrite of how discovery, decision-making, and checkout work. Nitin makes clear that the next wave won’t be about small UX improvements, but about systems that think, act, and transact on behalf of consumers and retailers alike. With leaders like Nitin driving Salesforce’s transformation, the future of unified and agentic commerce is arriving faster than expected.

👉 Connect with Nitin: https://www.linkedin.com/in/nitinmangtani/
👉 Learn more about Salesforce: https://www.salesforce.com/

🧠 Want to stay ahead in AI commerce? Subscribe and follow along:
📰 Subscribe to the free Substack: retailgentic.ai
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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 PayOS
04:00 — From Visa to PayOS: the founding story
06:40 — What Agentic Payments really mean
08:10 — Partnering with Visa & Mastercard
10:25 — “Day-one-ready” vs new payment rails
12:50 — What PayOS actually does
15:30 — Agent builders and early use cases
18:40 — Understanding “intent” in payments
21:50 — Future-proofing across protocols (AP2, ACP, etc.)
24:55 — How the first live Agentic transaction worked
29:50 — Why PCI compliance & trust matter
36:00 — The global scale of Agentic Commerce

As 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:
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OpenAI’s Chief Economist Ronnie Chatterji joins Scot Wingo on the Retailgentic Podcast to unpack OpenAI's recent National Bureau of Economic Research working paper "How People Use ChatGPT".

From asking vs. doing to AI-powered shopping behavior, this deep dive reveals how generative AI is transforming the economy and how soon “agentic” commerce will redefine online retail.

This episode is more than a window into OpenAI, it’s a look at the data shaping how humans and agents will interact, shop, and make decisions in the years ahead. If you care about where AI is really headed, this one’s not just worth your time, it’s required listening.

Timestamps:
02:00 – Meet Ronnie Chatterji, OpenAI’s Chief Economist
06:00 – How the ChatGPT usage study began
10:30 – What surprised the team most
15:00 – Asking vs. Doing: the evolution of agentic behavior
19:00 – The viral “colored columns” chart and what it shows
22:00 – AI and the future of writing, learning, and work
26:00 – How Ronnie bought jeans with ChatGPT
28:00 – The 2.1% insight: early AI commerce signals
33:00 – Voice + vision = the next leap for agentic shopping
38:00 – The global view of AI adoption
42:00 – What’s next in OpenAI’s research
45:00 – Closing thoughts & how to follow Ronnie

👉 Connect with Ronnie: https://www.linkedin.com/in/aaron-ronnie-chatterji/
👉 Learn more about the paper we discuss: https://openai.com/index/how-people-are-using-chatgpt/

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In this episode of Retailgentic, Salesforce’s Director of Strategy and Consumer Insights Caila Schwartz joins Scot Wingo to break down Salesforce’s 2024 Holiday Forecast, and how AI agents like ChatGPT, Perplexity, and Gemini are transforming the path to purchase.

They cover:

• How 21% of global holiday spend will be influenced by AI
• Why discovery (not discounts) is this year’s theme
• Why Baby Boomers are finally using ChatGPT for shopping
• How Gen Z is bringing the mall back with AI in hand
• The return of “Discount Chicken” and the Tuesday-after-Cyber-Monday surprise

Timestamps:
00:00 – Welcome + Caila intro
01:00 – What Salesforce’s Consumer Insights team does
04:30 – Agentforce and AI momentum post-Dreamforce
07:00 – Holiday forecast: “Discovery” as the 2024 theme
08:00 – How Agentic tools are changing product search
09:45 – $263B in AI-influenced sales
12:00 – Gen Z, Baby Boomers, and agentic adoption
15:00 – Q3 data: growth, traffic, and product detail engagement
19:30 – LLM referrals vs social media conversions
22:00 – ChatGPT Checkout and embedded commerce
25:00 – AI in physical stores — 57% of shoppers use agents in-store
28:00 – Holiday sales forecast and discount trends
33:00 – The rise of “Discount Chicken”
38:00 – Loyalty consolidation and the price-sensitive consumer
42:00 – Gen Z’s love of in-store experiences
47:00 – The future of unified data and physical + digital retail
50:00 – Closing thoughts

👉 Connect with Manil: https://www.linkedin.com/in/caila-schwartz/
👉 Learn more about Salesforce: https://www.salesforce.com/

🧠 Want to stay ahead in AI commerce? Subscribe and follow along:
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