Case Study: Largest retailer in its category achieves immediate, measurable ROI (+3% daily sales, $1,000/day gross profit per store) with RetailNext

Largest Retailer - Customer Case Study

The largest retailer in its category — committed to excellent customer service and associate readiness — had cut store labor hours to reduce operating costs and needed to know whether staffing had gone too far. The operations team wanted clear visibility into staff-to-traffic ratios and the comparative ROI of adding back hours before making further staffing decisions.

RetailNext deployed entrance traffic sensors across a panel of test stores and integrated the retailer’s WFM and POS data into a single insights portal, revealing a direct correlation between staff-to-traffic ratio and conversion. Analysis showed that adding 3.5 staff hours per store per day (about $50) produced immediate, measurable ROI: +3% daily sales, +1.5% daily conversion and roughly $1,000 additional gross profit per store per day.