Case Study: Large Technology Company achieves faster store-level sales analysis and expansion planning with Mu Sigma muRxTM

Identified drivers of high performing stores to support a technology retailer's expansion plan

Large Technology Company, one of the largest technology companies in the US, needed a smarter store expansion strategy and a way to predict which future stores would generate high revenue. Its analytics team lacked a holistic, user-friendly view of store-level performance and actionable insights into the key drivers of high-performing stores. Mu Sigma helped address this challenge using its decision science workbench, muRxTM.

Mu Sigma used muRxTM to group stores into growing and non-growing segments, run 450 model iterations in less than two days, and document each version for analysis. The solution delivered an interactive dashboard, identified key sales drivers, and supported sales forecasting for future stores. As a result, Large Technology Company was able to set accurate store-level sales goals, create benchmarks for staffing and resource management, and reduce analysis time by 35–40%.