Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information
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- 作者：Shaohui Maa ; msh@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; shaohui.ma@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Robert Fildesb ; r.fildes@lancaster.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Tao Huangc ; t.huang@kent.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Analytics ; OR in marketing ; Forecasting ; Retailing ; Promotions
- 刊名：European Journal of Operational Research
- 出版年：2016
- 出版时间：16 February 2016
- 年：2016
- 卷：249
- 期：1
- 页码：245-257
- 全文大小：1201 K
文摘
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Selecting key explanatory variables from a very large data set.
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Retail store level modelling and forecasting at SKU level for thousands of products.
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Including both intra- and inter-category promotional effects.
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Comparative results for a large number of SKUs in a large number of categories.