Summary of Magazine Supply Optimization: a Case-study, by Duong Nguyen et al.
Magazine Supply Optimization: a Case-study
by Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau
First submitted to arxiv on: 16 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Optimization and Control (math.OC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel industrialized magazine supply optimization solution called AthenIA is introduced, which plans supplies for over 20,000 points of sale in France. The solution modularizes the supply planning process into four steps: demand sensing, optimization, business rules, and operating. A group conformalized quantile regression method integrates domain expert insights with a supply optimization technique that balances out-of-stock costs against over-supply costs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AthenIA is a powerful tool for magazine publishers that helps them optimize their supplies. It’s like a smart planner that takes into account many factors, such as sales patterns and product characteristics, to make sure they have the right amount of magazines at each store. This can help reduce waste and save money. |
Keywords
* Artificial intelligence * Optimization * Regression
