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Wednesday May 27, 2026 16:30 - 17:00 CEST
In the world of retail, the "Daily Brief" for a Store Manager is a high-stakes moment of truth. Whether at Adeo or Decathlon, the challenge is identical: how to distill a mountain of data into 15 minutes of operational action. To solve this, both companies launched ambitious AI initiatives—yet our journeys, technical choices, and "Aha!" moments often differed.
In this first-of-its-kind co-presentation, the Adeo and Decathlon AI teams join forces to share their parallel quests in building intelligent assistants. We will move beyond the hype of "Agentic AI" to discuss pragmatism. While Agentic workflows offer incredible power, they come with high costs and complexity. Is a "Ferrari" always the right choice for every retail feature, or can we deliver massive value with more economical, "lean" AI models?
What we will share:
Two Paths, One Goal: A comparison of our architectures—where we aligned and where our specific retail contexts (DIY vs. Sports) forced us to diverge.
The ROI of Intelligence: How we balance the high cost of sophisticated Agents with the need for scalable, low-latency business value.
The Shared "Grit": Common failures in data reliability, interfacing with legacy systems, and the reality of deploying AI in a fast-paced store environment.
This session isn’t about perfect slides; it’s a transparent look at how two of the world's leading retailers are navigating the shift from "Data-Heavy" to "AI-Empowered" operations.
Speakers
avatar for Sébastien Staes

Sébastien Staes

Decathlon
With my teams, we define and drive the data strategy and delivery for the domains Finance and HR.
Be focus on the user needs to provide the best data solutions to reply to their needs!
avatar for Pauline Vilpini

Pauline Vilpini

Data Lead Expert, Leroy Merlin France

avatar for Victor Marchal

Victor Marchal

Leroy Merlin France
Victor MARCHAL
ML Engineer @LMFR
Wednesday May 27, 2026 16:30 - 17:00 CEST
3 - LAB 135 Rue Sadi Carnot, Ronchin, France

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