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Retail Store Clustering

K-meansHierarchical ClusteringClusteringRetail Store ClusteringRetail Store
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Mar 4, 2025 7:14 PM
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This workflow uses a fictional retail company dataset to cluster stores for grouping them into Pre-Season Planning Markets. Fictional dataset includes : Stores : 1000 stores from all around the world with Country-City-Coordinates information. Category Sales % : Contains 5 different product category and their relative sales pcs % per store. Store Capacity: Divides stores into 3 capacity groups.. Big-Medium-Small Customer Profile: Divides stores into 3 customer group : Type 1 - 2 - 3 Based on this dataset, this workflow enables users to assign weight to each of these parameters and run 2 different clustering methods and analyze the results on this platform with insight sparking visuals. This workflow is created by BI-FI Blogs. Check our blog for detailed guide of this workflow.

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