Name: From search bar to shopping list: How LLM turns DIY intent into guided commerce
Start: 2026-05-27T09:45:00+0200
End: 2026-05-27T10:15:00+0200

From search bar to shopping list: How LLM turns DIY intent into guided commerce

FULL

Wednesday May 27, 2026 09:45 - 10:15 CEST

🤖 DATA/AI ARENA

Limited Capacity full
Adding this to your schedule will put you on the waitlist.

RAGEdito was born from a simple observation: when a customer types "how to change a window" into the Leroy Merlin France search bar, they are not looking for a product — they are planning a project. Currently live in production on French traffic, RAGEdito generates real-time DIY tutorials with contextualised shopping lists, directly from the search bar.

This session delivers a hands-on retrospective from a three-person Product Owner / Data Analyst / Data Scientist team on building, steering, and continuously improving a RAG system in real production conditions.

Product angle: how to translate a user signal into a structured product vision — from defining meaningful business KPIs to aligning stakeholders across a multi-product Search & Publication domain. How RAGEdito fits into a coherent, scalable roadmap with group-wide deployment ambitions.

Analytical angle: how production query analysis identified a significant share of editorially-intentioned traffic going unaddressed, segmented customer needs by intent type (repair, installation, construction, inspiration), and converted these insights into concrete growth levers and roadmap decisions.

Technical angle: how user feedback feeds a custom evaluation pipeline, refines LLM generation, and drives architectural evolution toward a reusable API component scalable across the group.

Key takeaway: how to align product vision, analytical intelligence, and technical robustness to turn a RAG prototype into a product with measurable business impact.

Speakers