AI Product Search: Lessons from Enterprise

​Search is often treated as a keyword-matching problem or, more recently, a semantic-search problem. But the most effective product search systems actually deduce what a customer needs from incomplete, real-world intents. Pratyush Sinha (Head of AI at Decathlon and formerly IKEA) calls this approach “deductive search”, and he believes it’s taking over enterprise.

​In this session, AI engineer Dan Porder interviews Sinha about how enterprise teams can build search experiences that truly understand context.

​What this session covers

• ​Why product search remains a high-friction experience

• ​The shift from keyword search to semantic search, and now to “deductive search”

• ​How deductive search turns customer context into useful product attributes

• ​Leveraging small, task-specific AI models to reduce cost, latency and maintenance

• ​How to introduce new business rules without rebuilding entire search systems

​Who should attend

​This session is for leaders who want to learn cutting-edge AI methods that enterprise giants use in their digital shopping experiences.

​Format

• ​45-minute presentation

• ​15-minute live Q&A