Post-script—Retail forecasting: Research and practice

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 dem...

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Detalles Bibliográficos
Autores principales: Fildes, Robert, Kolassa, Stephan, Ma, Shaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Institute of Forecasters. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534457/
https://www.ncbi.nlm.nih.gov/pubmed/36217499
http://dx.doi.org/10.1016/j.ijforecast.2021.09.012
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author Fildes, Robert
Kolassa, Stephan
Ma, Shaohui
author_facet Fildes, Robert
Kolassa, Stephan
Ma, Shaohui
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description 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.
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spelling pubmed-95344572022-10-06 Post-script—Retail forecasting: Research and practice Fildes, Robert Kolassa, Stephan Ma, Shaohui Int J Forecast Article 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. International Institute of Forecasters. Published by Elsevier B.V. 2022 2021-11-17 /pmc/articles/PMC9534457/ /pubmed/36217499 http://dx.doi.org/10.1016/j.ijforecast.2021.09.012 Text en © 2021 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Fildes, Robert
Kolassa, Stephan
Ma, Shaohui
Post-script—Retail forecasting: Research and practice
title Post-script—Retail forecasting: Research and practice
title_full Post-script—Retail forecasting: Research and practice
title_fullStr Post-script—Retail forecasting: Research and practice
title_full_unstemmed Post-script—Retail forecasting: Research and practice
title_short Post-script—Retail forecasting: Research and practice
title_sort post-script—retail forecasting: research and practice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534457/
https://www.ncbi.nlm.nih.gov/pubmed/36217499
http://dx.doi.org/10.1016/j.ijforecast.2021.09.012
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