How Decathlon uses data to optimize in-store operations
Anindita Misra
Global Director of Knowledge Activation & Trust, Decathlon Digital
About the guest
Anindita Misra
Global Director of Knowledge Activation & Trust, Decathlon Digital
Anindita leads Knowledge Activation & Trust at Decathlon Digital, where she applies data mesh principles and GenAI to optimize everything from product findability to in-store operations across the global sports retailer. She navigates complex multi-cloud architectures (AWS + GCP) and EU AI Act compliance while making sports accessible to everyone.
Decathlon's mission is making sports accessible to everyone. Their data team uses a data mesh approach with GenAI to optimize everything from product findability to in-store operations.
What you'll learn
Anindita explains how Decathlon's multi-cloud setup (AWS + GCP) with Databricks, dbt, and Neo4j knowledge graphs powers context-aware search and personalized recommendations. She walks through how GenAI improved product discoverability and sales conversions, and how they're navigating EU AI Act compliance while scaling AI across a global retail operation.
Why you should listen
- See how Neo4j knowledge graphs power context-aware product recommendations at global scale
- Learn Decathlon's playbook for navigating EU AI Act compliance while shipping AI features fast
- Discover how GenAI transformed product search and measurably boosted sales conversions
