How Decathlon runs demand forecasting at scale with Chronos-2 | Amazon Web Services
This post is co-written with Vianney Bruned, Filippo Giruzzi, Belkiss Saidi, and Carlos Ramirez from Decathlon.
Decathlon is one of the world’s largest sporting goods retailers, with more than 100,000 teammates and 400 million users worldwide. The company relies on accurate demand forecasting at scale to support the availability of the appropriate products in each store at the time customers need them. After evaluating multiple time series foundation models (TSFMs), Decathlon selected Chronos-2 as a core component of their forecasting stack.
In this post, we share the architecture Decathlon uses to run Chronos-2 at scale on AWS, the business impact on Decathlon’s supply chain operations, and practical lessons learned for other companies that want to adopt foundation models for forecasting.
Decathlon’s forecasting challenge
Accurate demand forecasting is the backbone of retail supply chain operations. For Decathlon, this challenge is amplified by the sheer scale and diversity of their business: tens...
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