Store-level attrition modeling, hourly-staff scheduling intelligence, and district-manager engagement signals. Built for the speed and scale realities of retail HR.
Predict 30-day exit risk at the individual store level — the cadence retail HR teams actually run, not the quarterly window that works for corporate roles.
Detect the shift-pattern combinations correlated with avoidable attrition. Flag the schedules that are quietly producing exits before HR sees them in exit interviews.
Surface engagement variance across district-manager spans. Identify the DM-level patterns that produce district-wide retention differences of 8 to 14 percentage points.
Retail HR teams work at a tempo most general-purpose analytics tools cannot match. Hourly staff move quickly. Store-level dynamics matter more than role-level ones. District-manager span effects are larger in retail than in any other industry we work with. Kestrel was tuned to these realities through engagements with retail customers running 50 to 400 store locations.
Customers in retail include specialty retail chains, restaurant groups, and convenience operators in the 500 to 5,000-employee range. The median retail customer has 2,400 employees across 120 locations. Read our engagement survey research for the predictor work that informs our retail-specific models.