Story originally appeared in Supply Chain Dive on September 8, 2020. Excerpts from the story below. To see the full story visit supplychaindive.com.

The company used supply chain platform Blue Yonder to create algorithms trained with historical data, plus hundreds of predictive variables — such as brand, price, online placement and weather — to continuously evaluate its forecast. The result: end of season overstock down 20% and improved forecast accuracy of 40%.