In this episode, we sit down with Michele Fisher (Global Director, Business Strategy for Retail & CPG) and Atanu Ghosh (Director of Agentic Commerce & AI Innovation), who sit at the intersection of Azure AI, Copilot, and real-world retail and brand Agentic Commerce implementations.

This conversation dives into how Microsoft is thinking about agentic commerce as a full operating model shift, not just a feature or channel.

From Copilot shopping to data infrastructure to ads inside LLMs, the discussion connects the dots between:

Highlights 

• Conversational discovery is fundamentally different from search: The way people talk about brands inside AI systems looks nothing like traditional keyword behavior, and most companies have zero visibility into it.
• Agentic commerce is not one thing, it’s an operating model shift: Microsoft defines it broadly: agents participating in discovery, decision-making, and transactions, not just checkout.
• Copilot + catalog + data = the new commerce stack
• Ads are changing from persuasion to evaluation: Agents don’t care about creative. They evaluate structured data, trust signals, and relevance.
• Loyalty becomes infrastructure, not a program
• The “frontier firm” is the North Star: A future where humans and agents work together across workflows, not just AI acting as an assistant.
• Protocols like UCP matter more than people realize: Open standards enable discoverability across surfaces and prevent fragmentation in agent-driven ecosystems.
• The funnel is collapsing

If your brand is still thinking about traffic as the starting point, you’re already behind.
In an agentic world, discovery happens before you ever see the user, and increasingly, without them.

Timestamps

00:00 – Why brands have zero visibility into conversational discovery
01:50 – Scot’s “Big 6” podcast goal and Microsoft joins the list
04:00 – Michelle & Atanu backgrounds + roles at Microsoft
10:00 – What agentic commerce actually means (and why definitions vary)
14:00 – Microsoft’s agentic commerce stack: Copilot, agents, data layer
18:00 – The “Frontier Firm” and human + agent workflows
20:00 – UCP, protocols, and why openness matters
23:00 – Loyalty, identity, and friction in agent checkout
28:00 – Ads in agentic commerce: from persuasion to evaluation
33:00 – First-party data vs. conversational behavior data
39:00 – Why most retailers aren’t ready (and what they need first)
45:00 – The real blocker: operating models, not technology
46:30 – Where to learn more + how leaders are consuming information now

👉 Connect with Michele: https://www.linkedin.com/in/michelekfisher/
👉 Connect with Atanu: https://www.linkedin.com/in/buildingai/
👉 Learn more about Microsoft in AI: https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/the-future-of-ai-harnessing-ai-for-e-commerce---personalized-shopping-agents/4386980

🧠 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 episode of Retailgentic, Stephan breaks down how agentic commerce is evolving globally, with a particular focus on Europe’s rapid adoption.

We explore why AI-driven shopping is accelerating faster than previous technology shifts, how brands are already losing visibility without realizing it, and what practical steps companies can take today to stay competitive.

From product data strategy to protocol wars to the future of loyalty, this conversation offers a clear view of where commerce is heading next.

Highlights 

• Discovery is the new battleground: If your product is not readable, trustworthy, and rich in context for AI agents, it will not be recommended.
• Agentic commerce starts before checkout: The most important shift is happening in discovery, comparison, and decision-making, not the final transaction.
• Europe is moving differently, not slower: Adoption among younger consumers in markets like Germany is already very high, with many using AI in shopping workflows.
• Product data is now infrastructure: Years of optimizing for search engines are being replaced by the need to structure data for AI systems.
• Loyalty and identity are becoming core systems: Future commerce will depend heavily on how well brands manage identity, value, and customer relationships across AI ecosystems.
• Protocols are evolving fast: Systems like UCP and MCP are shaping how agents interact with product data, pricing, and checkout layers.
• Small experiments already create visibility gains: Even limited API exposure or structured data improvements can increase inclusion in AI-driven recommendations.
• Agentic commerce is accelerating existing problems: Many of today’s challenges, like poor data quality and disconnected systems, have existed for years but are now becoming urgent.

Agentic commerce is already reshaping how products are discovered today, and the brands that adapt fastest will define the next era of retail.

Timestamps

00:00 – Opening and overview of agentic commerce
02:00 – Who Stefan Ritter is and his background
05:00 – Why agentic commerce adoption is happening faster than mobile
09:00 – What agentic commerce actually means
11:00 – Human vs autonomous decision-making
13:00 – Why context is replacing keywords
16:00 – State of agentic commerce in Europe
20:00 – Data quality and infrastructure challenges
23:00 – AI platforms and protocol landscape
26:00 – Loyalty, identity, and authentication of agents
28:00 – The three opportunity spaces for brands
32:00 – How AI changes product storytelling
36:00 – Events, ecosystem, and European perspective
37:00 – Deloitte research and discovery battleground
39:00 – Retail media and monetization challenges
42:00 – Practical roadmap for brands
46:00 – The future of agentic commerce
49:00 – Closing thoughts and where to follow Stefan

👉 Connect with Stephan: https://www.linkedin.com/in/stephanritter/
👉 Learn more about Deloitte: https://www.linkedin.com/company/deloitte/

🧠 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

This episode goes beyond surface-level AI hype and into how retail organizations are actually responding.

Krystina shares what she’s hearing from operators, board members, and data leaders and why the biggest risk right now is moving in the wrong direction.

At the same time, we explore how agentic commerce is reshaping traffic, discovery, and brand relationships and what that means for the future of ecommerce.

Highlights 

• AI is forcing a full end-to-end transformation of retail
• Many companies are prioritizing the wrong AI initiatives, focusing on hype instead of P&L impact
• A growing concern: “dark” or untracked AI-driven traffic is already impacting performance
• Data strategy is becoming a core battleground: What do you give AI platforms? What do you get back? Do CRMs need to evolve entirely?
• The real unlock for AI shopping is complex, multi-step purchases (travel, events, planning)
• The industry is early, but pressure from boards and declining traffic is accelerating adoption

The future of retail will be defined by who applies it to the right problems.

⏱️ Timestamps

00:00 — The future of retail data + AI uncertainty
 00:47 — Retailgentic intro
 03:10 — Kristina Gustafson’s background (CNBC → Shoptalk → RetailClub)
 08:02 — Why RetailClub exists: AI needs a verticalized event
 10:00 — From “retreat” to “festival”
 12:00 — Intimacy vs scale in events
 17:00 — What “festival format” actually means
 20:00 — RetailClub themes: full AI transformation of retail
 26:00 — How Kristina tracks AI trends (75%+ of her time)
 28:00 — AI prioritization problem inside companies
 29:00 — Data, CRMs, and “dark agentic traffic”
 30:00 — Traffic decline + board pressure
 36:30 — Agentic commerce: what actually works
 38:00 — Why brands won’t fully disappear
 40:00 — RetailClub details + closing

👉 Connect with Krystina: https://www.linkedin.com/in/krystina-gustafson-908a5a14/
👉 Learn more about RetailClub: https://retailclub.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

In this episode, we go deep into what agentic commerce actually looks like in a real-world vertical, and why grocery may be one of the most important battlegrounds.

We walk through the shift from “tools that help you shop” to systems that shop for you, and how that fundamentally changes everything from discovery to monetization.

We also unpack the tension between grocers and platforms like Instacart, the rise of retail media networks, and why owning your data, and your customer relationship, may matter more than ever in an AI-driven world.

Highlights 

• Regional grocers are losing both data and margin to platforms like Instacart
• Agentic commerce shifts grocery from manual planning → “do it for me” automation
• Delectable combines food intelligence + shopper intelligence + real-time inventory
• AI closes the gap between inspiration (TikTok/recipes) → instant cart creation
• Vertical AI beats horizontal models with better accuracy, speed, and cost efficiency
• Grocery e-commerce hasn’t saved time, until now
• Retail media networks are massive, but broken by middlemen and inefficiency
• Agentic advertising creates unlimited, contextual ad inventory
• The future of grocery is about owning discovery, not renting it

If you want to understand where agentic commerce gets real, beyond theory and into infrastructure, this is one to pay attention to.

⏱️ Timestamps

00:00 — Who owns grocery discovery today
 02:05 — Intro to Delectable AI
 04:00 — Joe’s background in enterprise commerce
 10:00 — Why grocery (and why now)
 12:50 — The Agentic Experience Platform explained
 14:30 — Why grocery e-commerce hasn’t saved time
 15:50 — “Do it for me” shopping vs tools
 17:00 — Retail media inefficiencies and opportunity
 19:00 — The shopper journey (TikTok → cart)
 22:00 — Fundraising + early traction
 26:00 — Vertical vs horizontal AI debate
 30:00 — Instacart, data ownership, and margins
 32:00 — Why vertical AI wins (accuracy, speed, cost)
 34:30 — What’s next for Delectable

👉 Connect with Joseph Lee: https://www.linkedin.com/in/josephchiahsunlee/

👉 Learn more about Delectable AI: https://www.linkedin.com/company/delectable-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

Everyone is focused on how AI helps people discover products. But what happens after that? In this episode of Retailgentic, we go deep on the missing layer of agentic commerce: checkout, payments, and fulfillment. Because it turns out, the hardest part isn’t finding the product. It’s buying it.

Rye is building what they describe as the “Stripe for commerce.” It connects AI agents, apps, and platforms to merchants handling:

• Checkout and order placement
• Payment orchestration
• Fulfillment across retailers like Amazon and Shopify

In short: if an AI agent decides what to buy, Rye helps it actually buy it.

Highlights 

• Checkout is the real bottleneck: Discovery is improving fast, but actually placing an order across fragmented systems is still incredibly hard.
• Rye enables real AI purchasing: They connect agents to merchants, allowing products to be bought directly from platforms like Amazon.
• Amazon is a critical unlock: Most bots are blocked, but Rye’s API-based approach allows real transactions to go through.
• Protocols won’t solve everything: Even if UCP/ACP take off, long-tail merchants and major players won’t fully standardize.
• B2B is the sleeper opportunity: Complex procurement decisions are a perfect fit for agent-driven commerce.
• AI reduces returns: More context leads to better decisions, driving return rates extremely low.
• We’re still early, but close: One breakout use case could flip massive volume into agentic commerce quickly.

Agentic commerce isn’t just about what gets recommended—it’s about what actually gets bought.

Timestamps:

 02:00 — Meet Arjun Bhargava and Rye
 04:00 — Founding story and early vision
 08:00 — Contextual commerce → agentic commerce
 11:00 — What Rye does (simple explanation)
 14:00 — How AI agents place orders
 18:00 — The rye.com story
 22:00 — Amazon integration and why it matters
 26:00 — Payments, tokenization, and infrastructure
 30:00 — UCP vs ACP debate
 35:00 — Why protocols won’t cover everything
 40:00 — Where agentic commerce is heading
 42:00 — B2B opportunity and procurement
 46:00 — Real-world AI agent example
 47:30 — Closing

👉 Connect with Arjun: https://www.linkedin.com/in/arjunbhargava/
👉 Learn more about Rye: rye.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

In this episode, Scot sits down with Debra to unpack what might be the most important shift in digital advertising since social media.

This isn’t theoretical. It’s happening right now, and brands that don’t understand it risk getting left out of the new chain of commerce.

Highlights 

• Why ChatGPT’s ad rollout is just the beginning, not an experiment
• The tension between trust vs. monetization in AI interfaces
• How retailers are both excited and terrified of AI shopping agents
• The emergence of “AI Media” as a new category (like social + retail media before it)
• Why current ad formats are “boring”… and what comes next
• How companies should actually prepare (hint: it’s not just media buying)
• The shift from advertising to agent influence, and what that means for the future

We’re still early, but not that early. The rules of digital advertising are being rewritten in real time, and for the first time in decades, the winners aren’t obvious. The question isn’t whether AI will reshape commerce. It’s whether your products, and your data, are ready to compete when agents decide what gets bought.

Timestamps:

 02:19 – Meet Debra Aho Williamson 

 05:00 – From social media to AI: spotting the next shift 

 09:00 – What “AI Ad Economy” actually means 

 11:00 – Are we at a social media–level inflection point? 

 13:00 – ChatGPT ads: early signals and what matters 

 16:00 – Why current AI ads look like search ads 

 18:00 – Trust vs. monetization: the line platforms can’t cross 

 23:00 – Why retailers are leading AI ad adoption 

 25:00 – Google’s AI ad strategy vs. ChatGPT 

 29:00 – Perplexity, Copilot, and the fragmented landscape 

 33:00 – Where Meta fits (and why it’s surprising) 

 35:00 – New ad formats: sponsored prompts + conversational ads 

 38:00 – Reddit, TikTok, and emerging players 

 40:00 – How brands should prepare for AI media 

 43:00 – Why structured product data is critical 

 45:00 – The future: ads for agents, not humans

👉 Connect with Debra: https://www.linkedin.com/in/debrawilliamson/
👉 Learn more about Sonata Insights: https://www.sonatainsights.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

Today we’re dropping a surprise podcast that is different than anything we’ve done before and a first of it’s kind! Scot Wingo was invited by Ben Miller, VP of Content and Strategy to participate in the first ever shoptalk debate format talk. The topic - Agentic Commerce Will AI agents transform retail?

On the pro agentic side we had Ekta Chopin, CDO at ELF Beauty and myself.  If you’re not familiar with Ekta, she’s a thought leading CDO and has a great substack for other CDOs.

On the ‘anti agentic side’ we had Sarah Marzano, Principal Analyst, Retail Ecommerce and Retail Media at Emarketer and Andrew Lipsman - independent analyst and consultant for media, ads and commerce.

Before the show, Scot asked and received permission from Shoptalk and all the participants to turn the raw audio into a podcast. In the AI era, speed matters so we are getting this in your hands only 2 days after it happened.

This debate took place at 12pm PDT on Tuesday March 24th at Shoptalk’s AI Stage.

Timestamps
00:01 – Why this episode is different from anything Retailgentic has done before
01:28 – The Shoptalk debate topic: Will AI Agents Transform Retail?
02:04 – Meet the debaters: Ekta Chopra, Andrew Lipsman, and Sarah Marzano
07:48 – The first big battle: how should agentic commerce be defined?
10:25 – Scot’s argument: consumers are already changing behavior faster than many retailers realize
13:16 – Sarah’s pushback: brands need clarity before making big bets
15:18 – Consumer adoption: how much automation will shoppers really accept?
17:16 – Why product data and offer-card visibility matter now
19:05 – Andrew’s argument: shopping still requires human decision-making
23:05 – Ekta on brand visibility, content readiness, and why this matters for beauty
24:49 – 2030 predictions: will 10% of e-commerce be bot-to-bot?
27:03 – Does agentic commerce threaten retail media?
29:11 – Sarah’s case for why AI referrals may actually help retailers
32:22 – Ekta on why rich product data matters more than media for e.l.f.
33:06 – Scot’s case that traffic decline is already starting in some categories
37:16 – What brands and retailers should do over the next 6–18 months
40:25 – Why Sarah says brands should test, but not overreact
42:11 – Scot’s closing case for why this shift is fundamentally different
43:22 – Andrew’s closing warning against fear-based decision-making

🧠 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

This episode explores the shift from traditional search and ecommerce flows into a new agentic commerce environment where shoppers are using AI surfaces to discover, compare, and increasingly delegate parts of the buying journey.

Ashish explains what Google was seeing internally that led to the development of UCP, why the protocol was designed to be open and ecosystem-wide, and why the ambition goes far beyond checkout. He also shares how Google is thinking about discovery, conversational product data, merchant readiness, and the long-term role of AI across the shopping journey.

For retailers, brands, marketplaces, and commerce tech teams, this conversation is a helpful window into what Google believes is changing now, and what foundations businesses should be investing in before the market fully shifts.

Highlights 

• How Google’s large-scale ad and data systems shaped his approach to commerce
• Why UCP emerged now, and the two major trends that inspired it
• Why Google believes agentic commerce needs an open, ecosystem-wide standard
• Why the future of UCP extends far beyond checkout
• How discovery is starting to take shape within the protocol
• Why richer, more conversational product data matters in AI shopping experiences
• What retailers need to do now to improve visibility on AI surfaces
• How Google is thinking about the relationship between agentic commerce and advertising
• Why agentic commerce is still early, but already moving from concept to reality

Agentic commerce is still early, but this conversation makes one thing clear: the infrastructure decisions being made now will shape who gets discovered, considered, and chosen in the next era of shopping.

Timestamps
2:32 — Welcome and introduction to Ashish Gupta

5:01 — Building Google’s data infrastructure and declarative querying at scale

9:43 — AI at Google before the current wave

11:32 — What it means to be an Engineering Fellow at Google

14:00 — Balancing technical leadership and operational leadership

16:10 — Why Ashish moved into merchant shopping

17:41 — The origin story behind UCP

24:58 — Why Google chose an open protocol approach

27:50 — Responding to skepticism around Google’s commerce efforts

32:30 — Discovery, catalog search, and where UCP expands next

35:39 — Multi-item and multi-merchant cart support

37:43 — New protocol capabilities and partner onboarding

38:42 — Why product data quality matters more in AI shopping

43:22 — How shoppers are using AI surfaces in more complex ways

47:47 — Agentic commerce and advertising

50:10 — Where agentic commerce may go from here

51:46 — Closing thoughts and where to follow Ashish

👉 Connect with Ashish: https://www.linkedin.com/in/ashishgupta98/
👉 Check out UCP announcement: https://www.retailgentic.com/p/flash-googlenrf-announces-universal

🧠 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 episode, we take a deep dive into what buyer-side agentic commerce could actually look like. The conversation explores the origins of the company, why Darryl and Ross focused on reducing friction for buyers, and how that unexpectedly opened up solutions for sellers, payment providers, and enterprise procurement teams as well.

The episode also features a live demo of Vendee Labs’ platform, showing conversational discovery, real-time product retrieval, multi-vendor carting, and a multi-item ACP checkout flow. 

Highlights

• Why Vendee Labs is approaching agentic commerce from the buyer’s perspective
• The founding story behind the company and the friction that inspired it
• How ChatGPT and Claude changed the direction of the product
• A live demo of conversational commerce across real merchants
• What a multi-vendor, multi-item ACP checkout could mean for online shopping
• Why autonomous commerce needs legal and governance frameworks, not just AI
• The vision for a Universal Protocol Bridge across ACP, UCP, and future standards
• How strong permissions and audit trails could reduce chargebacks and disputes
• Why poor product data creates broken outcomes in agentic shopping
• Where Vendee Labs sees opportunity across consumer, B2B, procurement, and white-label use cases

Vendee Labs is betting that the future of commerce won’t just be agent-powered—it will be buyer-centered, trust-driven, and built to work across whatever protocols come next.

Timestamps:
 00:06:09 — Ross shares his background in global technology planning and delivery
00:07:23 — Darryl shares his background in retail IT, telecom, AI, and governance
00:08:53 — Darryl reflects on AI before and after the ChatGPT moment
00:10:03 — Discussion on LLMs, explainability, and true intelligence
00:11:26 — The founding story behind Vendee Labs
00:13:13 — How the product evolved into its current form
00:16:06 — The Vendee Labs pitch: changing how the world buys
00:17:06 — Why solving buyer friction also solves seller-side pain points
00:20:18 — Live demo begins
00:21:10 — Running shoes search and conversational discovery demo
00:25:42 — Multi-vendor cart and checkout walkthrough
00:31:06 — Why richer product data is critical for agentic commerce
00:35:46 — Consumer, B2B, procurement, and white-label distribution paths
00:38:46 — Team size, bootstrapping, and current company stage
00:40:39 — Ross outlines roadmap, buyer taxonomy, and MVP plans
00:42:15 — Scot and Darryl discuss adoption speed in agentic commerce
00:44:18 — Darryl’s theory on trust events and adoption
00:45:34 — Governance-by-design versus fixing broken outputs later
00:47:46 — Where to learn more and try the demo

👉 Connect with Darryl: https://www.linkedin.com/in/darrylcarlton/
👉 Connect with Ross: https://www.linkedin.com/in/rossgardiner/
👉 Check out the demo: https://vendeelabs.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

In this episode of the top Agentic Commerce Podcast we explore the powerful shopping powers of the OpenClaw open-source agent. Can the Claw shop on Amazon, shop locally and use the VisionClaw system with META Ray-Ban’s to buy a very hard to search for dog treat? Tune in to find out!

Highlights:

• What OpenClaw is (and why “persistent” changes everything)
• The real difference between OpenClaw vs. ChatGPT/Claude as tools
• How OpenClaw runs (Mac Mini vs. cloud VPS like DigitalOcean)
• Why “no guardrails” is both the innovation and the risk
• Risk mitigation: limiting blast radius with single-use virtual cards
• Why browser-driven commerce is riskier than server-to-server protocols (ACP/UCP)
• The “skills” layer: how OpenClaw becomes extensible like Lego bricks
• Why SERP-style APIs beat slow webpage crawling for shopping tasks
• Live demos: product search, local inventory, and frictionless checkout
• Using Slack as the agent interface (channels for shopping, health, etc.)
• The sci-fi moment: Meta Ray-Ban glasses + VisionClaw + Gemini for visual shopping

OpenClaw isn’t the final answer for agentic commerce, security and architecture matter, but it is an incredible preview of where the UX is heading. If you want a glimpse of the “always-on shopping agent” future (and how people are hacking it together right now), this one’s for you. Happy agentic commerce.🦞

Timestamps:

01:38 — OpenClaw takeover begins: why Scot called Ryan as a lifeline

05:26 — What OpenClaw is: persistent agent, open source, “unhinged,” and why that matters

08:21 — The “gigantic loop”: always-on agent behavior (old-school “cron jobs,” new-school autonomy)

09:26 — The killer feature: OpenClaw keeps working after you close your laptop

12:33 — Read-only Gmail as an assistant: catching missed emails + reducing cognitive load

14:35 — The trap: spending time building automation to “save time” (catch-22)

15:33 — Why OpenClaw-style commerce is riskier than ACP/UCP: browser manipulation

18:02 — Gateway Dashboard tour: where OpenClaw is configured (channels, skills, cron jobs)

20:30 — Skill spotlight: Rye for agentic Amazon-friendly purchasing

22:39 — Skill spotlight: SERP API for faster product search + ratings without crawling

24:30 — Skill spotlight: Buy Anything for context-filled checkout (address, identity, card)

28:19 — Demo: “Find me the 5 best-rated 65-inch TVs” (online + local)

35:20 — Live purchase demo: finding USB-C cables, choosing Anker, and the agent checks out

37:05 — “Most frictionless checkout”: no login, agent already knows everything

37:31 — What this means for Alexa: why “available 24/7” changes habits

39:07 — Meta Glasses demo setup: first-person vision commerce 

40:24 — Vision commerce in action: identifies product + searches best price automatically

41:34 — Multi-store results: Amazon + Chewy + Walmart links dropped into Slack

👉 Connect with Ryan: https://www.linkedin.com/in/ryaneade/

🧠 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