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迪卡侬如何利用Chronos-2在AWS上实现大规模需求预测

原标题:How Decathlon runs demand forecasting at scale with Chronos-2

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AI 摘要

迪卡侬在AWS上使用Chronos-2进行大规模需求预测,以支持其全球供应链运营。通过严格的基准测试,Chronos-2在零样本和微调配置下均优于其他时间序列基础模型,且微调后误差进一步降低。该解决方案降低了运营复杂性,提高了预测准确性,并计划扩展到更多地区。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

How Decathlon runs demand forecasting at scale with Chronos-2 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 s


发布时间:2026-08-29 00:22
抓取时间:2026-08-29 00:33
来源机构:AWS
阅读原文aws.amazon.com