Retail Store Clustering

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.

External resources

• Check our blog for Detailed Guide for this Project
• Click here to download the sample data for this project