Magazine Supply Optimization: a Case-study
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916359779123200 |
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| author | Nguyen, Duong Ulianovici, Ana Achour, Sami Aubry, Soline Chesneau, Nicolas |
| author_facet | Nguyen, Duong Ulianovici, Ana Achour, Sami Aubry, Soline Chesneau, Nicolas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_08637 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Magazine Supply Optimization: a Case-study Nguyen, Duong Ulianovici, Ana Achour, Sami Aubry, Soline Chesneau, Nicolas Artificial Intelligence Optimization and Control 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. |
| title | Magazine Supply Optimization: a Case-study |
| topic | Artificial Intelligence Optimization and Control |
| url | https://arxiv.org/abs/2408.08637 |