Magazine Supply Optimization: a Case-study
<|reference_start|>Magazine Supply Optimization: a Case-study: 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.<|reference_end|>
@article{nguyen2024magazine,
    title={Magazine Supply Optimization: a Case-study},
    author={Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, and Nicolas
  Chesneau},
    journal={arXiv preprint arXiv:2408.08637},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.08637},
    primaryClass={cs.AI math.OC}
}