Download case study for the largest discount retailer in the Nordics
Store Network Optimizer showcases relevant nearby competitor presence as well as detailed population demographics within the estimated catchment area.
It generates credible sales forecasts for each map square. This information is to be used for evaluation site profitability calculations.
Which stores are performing up to their full potential? Where and in which categories performance can be improved, and what demographic and/or competitor presence explain store performance variations.
"Together with Houston Analytics we were able to model our 2020 store location network. Our co-operation was very smooth and the knowledge we gained thanks to analytics will be very useful for IPO and everyday decision-making."
Director, Business Development, Tokmanni Group Oyj
Store Network Optimizer helps retailers with the following questions:
Potential for store network
Most potential store size / concept for each location
Detailed forecasts for each location
Store Network Optimizer leverages data from different data sources.
The data typically includes existing service/store network area and offering ( customer data ), customer database ( CRM ), offering data ( products / service ), and Grid database for selected market.