Post-script-Retail forecasting: Research and practice.

Journal: International journal of forecasting
Published Date: Nov 17, 2021

Abstract

This note updates the 2019 review article "Retail forecasting: Research and practice" in the context of the COVID-19 pandemic and the substantial new research on machine-learning algorithms, when applied to retail. It offers new conclusions and challenges for both research and practice in retail demand forecasting.

Authors

  • Robert Fildes
    Lancaster Center for Marketing Analytics and Forecasting, University Management School, Lancaster, United Kingdom.
  • Stephan Kolassa
    SAP Switzerland, Switzerland.
  • Shaohui Ma
    School of Business, Nanjing Audit University, Nanjing, 211815, China.

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