Post-script - Retail forecasting:Research and Practice

Fildes, Robert and Kolassa, Stephan and Ma, Shaohui (2021) Post-script - Retail forecasting:Research and Practice. International Journal of Forecasting. ISSN 0169-2070 (In Press)

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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.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Forecasting
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400/1403
Subjects:
ID Code:
161956
Deposited By:
Deposited On:
08 Nov 2021 12:45
Refereed?:
Yes
Published?:
In Press
Last Modified:
19 Nov 2021 12:07