A Data-Driven Assortment and Inventory Planning Model

Zhiqian Li
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Abstract

In this research article, we investigate a challenge pertaining to shelf-stocking allocation, specifically the scenario where the distribution of demand is unknown. However, a collection of predicted demand figures is at hand. The retailer is required to decide on the products to place on each shelf (ensuring placement) and determine the quantities of those products (ensuring stocking) while abiding by allocation and space limitations. The primary objective is to achieve the highest possible total expected profit. We conduct three experiments and observe how the products react to changes in marginal profit.
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数据驱动的分类和库存规划模型
在这篇研究文章中,我们探讨了与货架库存分配有关的难题,特别是在需求分布未知的情况下。然而,需求预测数据已经收集完毕。零售商需要决定在每个货架上摆放哪些产品(确保摆放),并确定这些产品的数量(确保库存),同时遵守分配和空间限制。首要目标是实现尽可能高的预期总利润。我们进行了三次实验,观察产品对边际利润变化的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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