Home > Research > Publications & Outputs > Post-script - Retail forecasting

Electronic data

  • PostScipt_Retail Forecasting: Research and Practice

    Rights statement: 24m

    Accepted author manuscript, 596 KB, PDF document

    Embargo ends: 1/01/50

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

View graph of relations

Post-script - Retail forecasting: Research and Practice

Research output: Contribution to journalJournal articlepeer-review

Forthcoming
<mark>Journal publication date</mark>1/10/2021
<mark>Journal</mark>International Journal of Forecasting
Publication StatusAccepted/In press
<mark>Original language</mark>English

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.