Stephan Ritter, Director Commerce Transformation Deloitte, EU: Agentic Commerce in Europe, The New Battleground is Discovery, The Importance of Product Data and Loyalty!
Inside Deloitte’s playbook for AI shopping, why discovery is the new battleground, and what brands are getting wrong right now
Stephan Ritter is Director of Commerce Transformation at Deloitte, where he leads agentic commerce initiatives across Europe. With a background spanning digital agencies, global eCommerce rollouts, and customer experience strategy, Stephan now sits at the intersection of AI, commerce, identity, and data. He has become a leading voice on how brands and retailers should adapt as AI agents reshape how products are discovered, evaluated, and purchased.
Listen/Watch Our Interview:
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.
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