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Causal performance analysis approach for store merchandizing analysis

机译:商店商品分析的因果性能分析方法

摘要

Causal performance analysis for store merchandising may be provided. A clustering technique may be performed based on target store location data and existing store data. Based on the clustering technique, a peer selection group is determined comprising a group of stores determined to have similar attributes to the target store location. Sales distortions for a plurality of divisions associated with the group of stores in the peer selection group may be determined. A distortion matrix may be generated comprising a ranked list of the plurality of divisions. A merchandise mix recommendation for the target store location may be presented via a user interface device.
机译:可以提供店铺商品的因果性能分析。可以基于目标商店位置数据和现有存储数据来执行聚类技术。基于聚类技术,确定包括确定与目标商店位置类似的属性的一组存储组的对等选择组。可以确定与对等选择组中的存储组相关联的多个划分的销售扭曲。可以生成一个失真矩阵,包括多个划分的排名列表。可以通过用户界面设备呈现针对目标商店位置的商品混合推荐。

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