Retail Store Network Optimization | Live Problem Solving Session

How do large retailers decide where to open their next store, which locations to close, and how to maximize profitability across their entire network?

And why do some retail stores thrive while others struggle despite being in seemingly attractive locations?

The answer lies in combining data, geography, and optimization.

In the real world, retail network planning involves forecasting customer demand, understanding how customers choose between nearby stores, measuring sales cannibalization, and balancing profitability with market coverage.

In this Live Problem Solving Session, we'll build an end-to-end Retail Store Network Optimization solution that demonstrates how advanced analytics can be used to make strategic expansion and consolidation decisions across a retail network.

What We'll Build

An end-to-end retail network optimization framework that:

Pre-Requisites