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The Demand Forecasting Project at Target: Improving Collaboration and Adoption

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  • Mahdi R. Yousefi
  • Stacey Faulkenberg Larsen
  • Subramanian Iyer

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

Suggested Citation

  • Mahdi R. Yousefi & Stacey Faulkenberg Larsen & Subramanian Iyer, 2022. "The Demand Forecasting Project at Target: Improving Collaboration and Adoption," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 66, pages 13-20, Q3.
    • Handle: RePEc:for:ijafaa:y:2022:i:66:p:13-20
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