This research was aimed at identifying a new store in the premium segment for Walmart. Based on income level in Los Angeles, target districts were identified via spatial analysis algorithms. Clusters influenced by existing Walmart network were excluded in order to avoid internal stores’ “cannibalism”.

Quantitative widgets allow user-friendly filtering of the districts by population income level, and attributive ones help to search existing stores and assess their network performance impact.

Business Value

Key Technical Features