The Demand Forecasting Project at Target: Improving Collaboration and Adoption

Mahdi R. Yousefi, Stacey Faulkenberg Larsen and Subramanian Iyer

Foresight: The International Journal of Applied Forecasting, 2022, issue 66, 13-20

Abstract: This article provides an update on the status of the Demand Forecasting Engine at Target, a system capable of efficiently generating more than one billion weekly forecasts required by different operations within the company. It describes the challenges faced in securing adoption of its forecasts and improving collaboration among data science, product management, and forecast user teams. Copyright International Institute of Forecasters, 2022

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2022:i:66:p:13-20

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