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The Supply Chain Impact of Smart Customers in a Promotional Environment

机译:促销环境中智能客户的供应链影响

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Increasing product variety through the use of alternate package sizes is a commonly observed mechanism in the grocery industry. Under such a scheme, however, the response to pricing decisions for each of the different package sizes is affected by how customers make demand choices. We build a demand model in which customers react smart to retail promotions through stockpiling and package size switching. The demand model combines a customer choice model with a model in which customers differ in their stockpiling and reservation price levels. We utilize data from the German grocery industry for an empirical fitting of the model. We then develop a store-level inventory model for each SKU and optimize price promotions to maximize expected profit. We show the benefit of capturing the smart customer response to price promotions by demonstrating its impact on the reduced inventory costs. We use the model to generate a number of managerial implications of the model for the German grocery environment.
机译:通过使用其他包装尺寸来增加产品种类是杂货业中普遍观察到的机制。但是,在这种方案下,对于每种不同包装尺寸的定价决策的响应会受到客户做出需求选择的方式的影响。我们建立了一个需求模型,在该模型中,客户可以通过库存和包装尺寸转换对零售促销做出明智的反应。需求模型将客户选择模型与客户库存和预订价格水平不同的模型结合在一起。我们利用德国杂货业的数据对模型进行经验拟合。然后,我们为每个SKU开发一个商店级别的库存模型,并优化价格促销以最大化预期利润。通过展示其对降低的库存成本的影响,我们展示了捕获精明的客户对价格促销的反应的好处。我们使用该模型为德国杂货店环境生成该模型的许多管理含义。

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