Magazine supply optimization: a case-study

被引:0
|
作者
Nguyen, Duong
Ulianovici, Ana
Achour, Sami
Aubry, Soline
Chesneau, Nicolas
机构
关键词
supply optimization; demand sensing; conformal prediction; magazine retail; SALES; REGRESSION; DEMAND;
D O I
10.1109/DSAA61799.2024.10722827
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supply optimization is a complex and challenging task in the magazine retail industry because of the fixed inventory assumption, irregular sales patterns, and varying product and point-of-sale characteristics. We introduce AthenIA, an industrialized magazine supply optimization solution that plans the supply for over 20,000 points of sale in France. We modularize the supply planning process into a four-step pipeline: demand sensing, optimization, business rules, and operating. The core of the solution is a novel group conformalized quantile regression method that integrates domain expert insights, coupled with a supply optimization technique that balances the costs of out-of-stock against the costs of over-supply. AthenIA has proven to be a valuable tool for magazine publishers, particularly in the context of evolving economic and ecological challenges.
引用
收藏
页码:338 / 347
页数:10
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