
Alex Rezvan, known as The Future of Retail Guy, is a global retail and eCommerce transformation advisor, author, and media voice focused on how retailers evolve across AI, omnichannel execution, store experience, and sustainability.
With senior leadership experience at Microsoft and Verizon, Alex has led and advised retail transformation initiatives valued at over $1.5bn. His work sits at the intersection of technology strategy, operational execution, and customer experience, helping retailers and companies selling to retailers turn emerging capabilities into measurable commercial outcomes.
Alex is a published contributor to respected industry and technology platforms including The Grocer, TechRadar, Microsoft’s Retail Industry Blog, and specialist retail publications. His writing explores topics such as avoiding long-term technology debt, applying AI pragmatically to accelerate sustainability and net-zero goals, the future role of physical retail, and empowering store associates as a competitive advantage.
He is the founder and host of The Retail Podcast and RetailNews.AI, where he interviews global retail leaders and synthesises insight from major international events including NRF, Shoptalk, EuroShop, and Web Summit. His work has been recognised by industry bodies, including Retail Voices by NRF 2026.
Alex works with CEOs, CMOs, CIOs, CDOs, and COOs to help organisations maintain relevance and resilience in a rapidly changing retail landscape.
Available For: Advising, Authoring, Consulting, Influencing, Speaking
Travels From: Madrid, Spain
Speaking Topics: Future of Retail
| Alex (Ali) Rezvan | Points |
|---|---|
| Academic | 5 |
| Author | 829 |
| Influencer | 94 |
| Speaker | 10 |
| Entrepreneur | 20 |
| Total | 958 |
Points based upon Thinkers360 patent-pending algorithm.
Tags: AI, Retail
Brand Homes, Not Billboards: What CMOs Can Learn from Hot Pickle’s Rupert Pick
Tags: AI, Digital Transformation, Retail
Why Social Intelligence Is Now Business Intelligence for Retail Leaders
Tags: AI, Retail
Best Buy's Supply Chain Transformation: Data, Culture and AI at Scale
Tags: AI, Retail
Inside Morrisons' Turnaround: Rami Baitiéh on Vertical Integration and Retail Discipline
Tags: AI, Retail
From Malaysia to Europe: How Mr. DIY Is Scaling a 5,200-Store Retail Empire
Tags: AI, Retail
From Grammarly to Superhuman: Shishir Mehrotra on Building the Next Era of AI Productivity
Tags: AI, Retail
From Transactions to Experiences: How Services Platforms Are Redefining Retail
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Taco Bell's Digital Playbook: Loyalty, AI and the Power of Fandom
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How JD Sports Is Winning the U.S. Athletic Footwear Market
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How SharkNinja Is Winning the Small Appliance Market Through Relentless Innovation
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Walmart Fashion's Transformation: Denise Incandela on Growth, Style, and Retail's Future
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How Luxury Brands Turn Social Listening Into Product Wins and Customer Trust
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Gary Vaynerchuk on Winning Attention in an Interest Driven Retail World
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How VF Brand Leaders Are Transforming Vans, Timberland, and The North Face
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Why Retailers Need to Avoid Falling into Tech Debt
Tags: Business Strategy, Digital Transformation, Retail
Target and OpenAI Reveal How Retail Will Shift From "Using AI" to "Running on AI" in 2026
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NRF Keynote: Gymshark Ben Francis on Building the Next Generation of Retail Brands
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Ralph Lauren and Microsoft Celebrate 25 Years of Innovation Shaping the Future of Luxury Retail
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Ulta Beauty CEO Kecia Steelman on Leadership, Loyalty, and the Future of Beauty Retail
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What Shoptalk Luxe didn’t say out loud: luxury has a luxury problem
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How Does Kingfisher, Abercrombie Fitch, JD Sports Build Cross-Channel Consistency
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Reinventing Retail for AI-Native Shoppers
NRF Keynote: Emma Grede and Ben Francis on Building the Next Generation of Retail Brands
A&F Co. CEO Fran Horowitz on Leadership, Culture, and Reinventing Iconic Brands
Tags: Leadership
The Rise of Agentic Commerce and What AI Means for the Future of Shopping
The uncomfortable truth Shoptalk Luxe didn’t say out loud: luxury has a luxury problem
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A Very British Ending to NRF 2026, and a Clear Signal for Retail’s Future
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Why 'Contextual Commerce' is the Real Future of Retail & And You Can See It Live at NRF
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The Retail Podcast Store of 2026
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Retail Property Isn’t Dead. It Just Needed Better Landlords. A Conversation with Ian Sandford, President at Eurofund Group
Tags: AI Ethics, Digital Transformation, Retail
When Machines Become Customers: What Elkjøp’s Julia Paulsen Is Teaching the Industry
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AI, Creativity, and the 99%: Reflections from Opening Night at Web Summit Lisbon
Tags: AI, Digital Transformation, Retail
One Year On: Cenomi’s AI Journey - From Dashboards to Decisions
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Five Things Friday: Retail Signals from the USA, UK, Europe & Asia
Tags: AI, Digital Transformation, Retail
Making the Complex Simple: Inside Shopify’s Operating System for Modern Commerce Key take‑aways from my recent conversation with Bobby Morrison, CRO
Tags: AI, Digital Transformation, Retail
Stanley 1913: How a 112‑Year‑Old Icon Built the Modern Hydration Movement
Tags: AI, Digital Transformation, Retail
AI is Retail’s New Operating System: TCS’s Abhijit Niyogi on the Trends Shaping 2025
Tags: AI, Digital Transformation, Retail
PerfectTed’s Matcha Revolt: How a Kitchen-Table Idea Redrew the Energy-Drink Map
Tags: AI, Digital Transformation, Retail
The $2.5 Billion Retail Playbook: Why Physical Stores Are the New Meta Ads
Tags: AI, Digital Transformation, Retail
Retail’s Leadership Crisis: Why Women Still Can’t Reach the Top
Tags: AI, Digital Transformation, Retail
Prada's $1.4 Billion Versace Acquisition: Strategic Brilliance or Luxury Overreach?
Tags: AI, Digital Transformation, Retail
Redefining Wellness Retail: Insights from Richard Fisher at Holland & Barrett
Tags: AI, Digital Transformation, Retail
Macy's Bold Reinvention: How Private Brands Are Leading a Retail Transformation
Tags: AI, Digital Transformation, Retail
The Beauty of Grocery: How Kowalski's Markets Excels in Merchandising, Product, and Digital Checkouts, But Not Retail Media
Tags: AI, Digital Transformation, Retail
Is Groves $15M Investment Enough to Return To Debt Free Future
Tags: AI, Digital Transformation, Retail
Zara's Live Streaming Marks a Turning Point in Retail Technology
Tags: AI, Digital Transformation, Retail
Luxury Meets Lingerie: Global Expansion Strategies of Valentino and Victoria's Secret
Tags: AI, Digital Transformation, Retail
Pandora Unlocks AI Magic: Crafting Delightful Customer Journeys
Tags: AI Governance, Digital Transformation, Retail
What Is the Retail Economic Outlook for APAC?
Tags: AI Governance, Digital Transformation, Retail
Tags: AI, Digital Transformation, Retail
Tags: AI, Retail
The Retail Podcast
Tags: AI, Digital Transformation, Retail
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Tags: AI, Innovation, Retail
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The retail playbook that worked for 30 years? It's not broken. It's just finished.
Some mornings don't need another dashboard refresh or a weekly trading report that tells you what already happened. They need the Sex Pistols on full blast and a reminder that a little anarchy built some of the greatest brands in history.
Think about it. The brands that defined retail didn't emerge from perfectly structured five-year plans. They came from someone ignoring the consensus, backing a gut feeling, and moving before the data told them it was safe to do so. Zara didn't wait for the industry to agree that fast fashion was viable. Amazon didn't pause while booksellers debated whether the internet was a real channel. Disruption has never been polite, and it has never been patient.
Right now, retail feels tightly wound. AI breakthroughs landing weekly. Consumer behaviour shifting faster than planograms can react. Margin pressure from every direction , energy costs, wage inflation, a consumer who has never been more demanding or less loyal. And a news cycle that pushes a constant sense that everything is fragmenting at once. It's a lot. Anyone who tells you they have it all figured out is either lying or not paying attention.
But here's the paradox: the moments that look like disorder are often the moments that build the next structure.
The chaos isn't the problem. The chaos is the signal.
We're moving from AI that tells you what happened to AI that acts on what's happening. That distinction matters more than most people in retail have yet grasped. The first wave of AI gave us better reports, sharper forecasts, smarter segmentation. Useful, absolutely. But fundamentally it was still the same model , gather data, analyse it, present it to a human, wait for a decision. The human remained the bottleneck.
Agentic AI removes the bottleneck.
Phase two. This is where the real disruption starts , not in a report, not in a recommendation, but in an AI that autonomously reprices when a competitor moves, replenishes before a gap appears on shelf, and responds to a shift in demand before a human even opens their laptop. We're talking about systems that don't just surface insight but act on it. That negotiate. That coordinate across functions. That operate continuously, at a speed and scale no human team can match.
For a sector that runs on thin margins and unforgiving consumer expectations, that's not a marginal improvement. That's a structural shift in what it means to be operationally excellent.
Unstructured doesn't mean broken. Anarchy doesn't mean failure. It often means the old rules are no longer sufficient for what comes next.
And the old rules of retail AI , deploy a model, run a pilot, wait for sign-off, scale carefully , may already be insufficient. Not because caution is wrong, but because the competitive window is narrowing faster than most governance frameworks were designed to accommodate.
We're already seeing it on the shop floor and in the supply chain. Teams experimenting with autonomous replenishment. Dynamic pricing engines that respond in minutes rather than days. AI-driven ranging decisions that adapt to localised demand signals without a category manager having to rebuild a spreadsheet. It's experimental. It's messy. It's deeply uncomfortable for anyone who built their career on controlled, centralised decision-making where every recommendation went through three layers of approval.
But that's how real transformation begins , not inside perfectly governed frameworks, but inside teams that refuse to wait for the perfect business case.
Every major retail disruption has had this phase. Noise first. Standards later. Experimentation before optimisation. E-commerce looked chaotic before it rewrote the entire industry. Mobile commerce was a distraction until it wasn't. Personalisation was a buzzword until the retailers who invested early built loyalty advantages that their competitors are still trying to close.
Agentic AI is that moment, right now, in real time.
The retailers who will look back on this period with confidence are not the ones waiting for a clean implementation roadmap or an industry-wide standard to emerge. They're the ones running scrappy pilots in the back office. Giving small teams permission to break things. Asking uncomfortable questions about which decisions actually need a human in the loop and which ones are just waiting for a better system to take over.
So if this morning feels a bit loud, a bit fast, a bit unpredictable , lean into it. The retailers building tomorrow's advantage aren't waiting for certainty. They're moving inside the chaos, learning faster than their competitors, and letting the structure emerge from the experimentation rather than designing the experimentation inside the structure.
Sometimes greatness is built in the very moments that feel least controlled.
To all the anarchy out there this morning: have a beautiful one.
Tags: Agentic AI, AI, Retail
Location: Virtual Fees: Negotiable
Service Type: Service Offered
Brand Homes, Not Billboards: What CMOs Can Learn from Hot Pickle’s Rupert Pick
Why Social Intelligence Is Now Business Intelligence for Retail Leaders
Inside the Biggest Stand at EuroShop 2025