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AWS announced that Decathlon, a global sporting goods retailer, adopted the Chronos-2 model to improve weekly demand forecast accuracy by 11-15 points, reducing operational complexity and lowering costs to $0.03 per weekly inference on CPU-only instances.

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Decathlon uses AWS Chronos-2 to improve demand forecasting accuracy by up to 15%

Overview

FAQ

What is AWS Chronos-2?

Chronos-2 is a large language model trained specifically for time-series forecasting, offered by AWS, and used to improve demand prediction accuracy across various sectors.

How does Chronos-2 compare to traditional methods?

Chronos-2 delivers an 11-15 point improvement in accuracy over traditional methods, with significantly lower operational costs as it runs on CPU instances instead of GPU.

Can MENA companies adopt this solution?

Yes, companies in the region can leverage Chronos-2 via AWS to improve demand forecasting in retail, manufacturing, and logistics sectors while reducing costs.

Source: AWS Machine Learning

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