Uploaded August 2021 | Updated September 2026, 5 days ago
Today, after a decade-long journey, Amazon’s Supply Chain Optimization Technologies forecasting team has drawn on advances in fields like deep learning, image recognition and natural language processing to develop a forecasting model that makes accurate decisions across diverse product categories. Read the full story: https://www.amazon.science/latest-news/the-history-of-amazons-forecasting-algorithm
Ping Xu, forecasting science director; Kari Torkkola, senior principal research scientist; Dhruv Madeka, principal applied scientist; and Ruofeng Wen, senior applied scientist, were among those who worked to unify Amazon's forecasting model.
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Today, after a decade-long journey, Amazon’s Supply Chain Optimization Technologies forecasting team has drawn on advances in fields like deep learning, image recognition and natural language processing to develop a forecasting model that makes accurate decisions across diverse product categories. Read the full story: https://www.amazon.science/latest-news/the-history-of-amazons-forecasting-algorithm
Ping Xu, forecasting science director; Kari Torkkola, senior principal research scientist; Dhruv Madeka, principal applied scientist; and Ruofeng Wen, senior applied scientist, were among those who worked to unify Amazon's forecasting model.
Follow us:
Website: https://www.amazon.science
Twitter: twitter.com/AmazonScience
Facebook: facebook.com/AmazonScience
Instagram: instagram.com/AmazonScience
LinkedIn: linkedin.com/showcase/AmazonScience
Newsletter: https://www.amazon.science/newsletter










