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Retail store clustering is a process that applies statistical grouping algorithms to data associated with stores and results in groups of stores where stores in a group are more similar to each other and less similar to stores in other groups.

The purpose of this scientific approach to grouping is to identify opportunities to to tailor merchandise assortments to better serve the consumers around each particular store without having to have a unique assortment in each particular store (which becomes increasingly unmanageable as the number of stores increases).

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What is retail clustering?

Retail store clustering is a process that applies statistical grouping algorithms to data associated with stores and results in groups of stores where stores in a group are more similar to each other and less similar to stores in other groups. The purpose of this scientific approach to grouping is to identify opportunities to to tailor merchandise assortments to better serve the consumers around each particular store without having to have a unique assortment in each particular store (which becomes increasingly unmanageable as the number of stores increases).


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