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RETAIL OUT-OF-STOCKS IN THE CONTEXT OF CENTRALIZED AND DIRECT DELIVERY

机译:集中交付和直接交付的情况下的零售库存不足

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摘要

The delivery of the right product, at the right time to the retail store, only seems to be an easy process. The smallest problem can cause the out-of-stock (OOS) situation, which may prevent customers to buy products they were looking for. Consequently, it affects retailers and their suppliers through potential operational inefficiencies, sale losses and eventually the losses of their loyal customers. Starting from these problems, by using the data of a large Serbian retailer, this paper analyses out-of-stocks in the context of two alternative delivery systems, centralized and direct. For calculating OOS rates the perpetual inventory aggregation metrics was used, while the occurrence of out-of-stocks was modelled by the application of probit regression analysis. The results have shown that delivery system has a significant impact on the probability of a stock-out, indicating potential problems in the centralized system. In addition, the analysis included certain product and store characteristics that also significantly affect the average probability of stock-outs.
机译:在正确的时间将正确的产品交付到零售商店,似乎只是一个简单的过程。最小的问题可能会导致缺货(OOS)情况,这可能会阻止客户购买所需的产品。因此,它通过潜在的运营效率低下,销售损失以及最终失去其忠实客户的方式影响零售商及其供应商。从这些问题出发,通过使用大型塞尔维亚零售商的数据,本文在集中式和直接式两种替代交付系统的背景下分析了脱销情况。为了计算OOS率,使用了永久库存聚合指标,而通过概率回归分析的应用来模拟了缺货的发生。结果表明,交付系统对缺货的可能性有重大影响,表明集中式系统中存在潜在的问题。此外,分析还包括某些产品和商店的特征,这些特征也显着影响缺货的平均概率。

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