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Wednesday May 27, 2026 10:30 - 11:15 CEST
Limited Capacity full
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At Decathlon, based on years of experience, we’ve completely revamped how we do forecasting by building a "forecasting pipeline factory." Thanks to this approach, we are now building and shipping pipelines in producion in less than two months. Our solutions are based on modern data manipulation tools (dbt), in-house python libraries for machine learning abstractions, and modern models such as Time Series Foundation Models (Chronos2).

This technical stack, combined with an “extreme programming” mindset, has greatly accelerated our developments and deployment velocity. It’s been a real cross-functional enabler to deliver actual business value across several units at Decathlon.
Speakers
avatar for Raphaël Nedellec

Raphaël Nedellec

Staff Data, Decathlon

Staff Data at Decathlon, InStore domain.
avatar for Vianney Bruned

Vianney Bruned

Decathlon
Vianney Bruned is a staff Data Scientist at Decathlon in the Value Chain domain.
avatar for Anthony Vromant

Anthony Vromant

Decathlon
Anthony Vromant is an ML Engineer in the Decathlon Value Chain domain.
Wednesday May 27, 2026 10:30 - 11:15 CEST
3 - LAB 135 Rue Sadi Carnot, Ronchin, France

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