Episode Description
AI is often presented as the next inevitable step in retail digital transformation. But at scale, the real challenge is not what AI can do. It’s knowing where it should be used, where it shouldn’t, and who stays accountable.
In this episode, Dmitry Olerinskiy from Decathlon shares a grounded, experience-based perspective on AI decisions in large retail organizations. Instead of hype, the conversation focuses on judgment, precision, and leadership responsibility.
You’ll hear practical insights on:
– Why not every retail problem needs AI
– When algorithms outperform generative AI
– How scale fundamentally changes AI adoption strategy
– Why AI governance becomes critical at enterprise scale
– Why experimentation without guardrails becomes liability
This episode is for retail leaders navigating AI transformation, omnichannel complexity, and enterprise decision-making and who want to move beyond buzzwords toward sustainable impact.
🎧 Tune in for a thoughtful, no-hype discussion on AI, scale, and responsibility in modern retail.
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🔗 Resources & Links:
Our Guest:
Dmitry Olerinskiy from Decathlon
Our Hosts: