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Post-script-Retail forecasting: Research and practice
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DOI：10.1016/j.ijforecast.2021.09.012.png)
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This note updates the 2019 review article Retail forecasting: Research and practicein the context of the COVID-19 pandemic and the substantial new research on machinelearning algorithms, when applied to retail. It offers new conclusions and challenges for both research and practice in retail demand forecasting.(c) 2021 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
Keywords:
COVID-19
Disruption
Structural change
Instability
Omni-retailing
Online retail
Machine learning
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JOURNAL OF RETAILING
JOURNAL OF RETAILINGIF10.2
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