Case Study: Largest Retail Chain Company achieves sales forecasting and smarter store expansion with Algoscale

Russia’s Largest Retail Chain Leverages Data Analytics to Drive Expansion - Customer Case Study

Largest Retail Chain Company, one of Russia’s largest hypermarket operators, worked with Algoscale to address poor data warehousing and determine the best locations for new stores. The company also wanted to use its historical and geospatial data to predict sales for pipeline stores and reduce store cannibalization.

Algoscale retrieved and cleaned data from the client database and AWS, applied geospatial analysis, and built a hybrid prediction model to forecast sales and footfall for new stores. The solution delivered heatmaps and catchment insights that helped identify growth areas, reduce inter-store cannibalism, improve new-store planning, and support sales forecasting across Russia.