后记——零售预测：研究与实践
Post-script-Retail forecasting: Research and practice.
作者信息
Fildes Robert, Kolassa Stephan, Ma Shaohui
机构信息
Lancaster Center for Marketing Analytics and Forecasting, University Management School, Lancaster, United Kingdom.
SAP Switzerland, Switzerland.
出版信息
Int J Forecast. 2022 Oct-Dec;38(4):1319-1324. doi: 10.1016/j.ijforecast.2021.09.012. Epub 2021 Nov 17.
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.
摘要
本笔记在新冠疫情背景下，以及机器学习算法应用于零售业的大量新研究的背景下，更新了2019年的综述文章《零售预测：研究与实践》。它为零售需求预测的研究与实践提供了新的结论和挑战。
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