How Decathlon runs demand forecasting at scale with Chronos-2
Amazon Web Services Vianney Bruned
Decathlon selected Chronos-2 as the core model in its demand forecasting stack after benchmarking multiple time series foundation models on its retail data and testing it in production on AWS. Chronos-2 fine-tuned runs with inference under 2 minutes per cutoff for 25,000 products. Decathlon now forecasts weekly on 12-week replenishment and 52-week horizons with less retraining and faster region rollout, reducing WAPE versus its prior models and improving inventory savings and availability.
Why it matters
Decathlon, one of the world's largest sporting goods retailers, forecasts weekly demand for tens of thousands of products across multiple continents. Learn how they deployed Chronos-2 on AWS to improve forecast accuracy by 11-15 points while cutting operational complexity and running weekly inference for about $0.03 on CPU-only instances.
