Dwell-time anomaly detection.
Too much or too little time in front of key locations can be an early warning for friction or missed opportunity. We surface where dwell-time patterns break from expectations and show which actions turn unproductive time into measurable value.
We help retailers understand where shoppers spend too long, too little, or the wrong kind of time across the floor.
Physical stores rely on healthy dwell patterns to support discovery, comparison, and decision-making, but most deviations stay hidden until they show up as queues, confusion, or weak conversion. BIEM turns dwell-time anomalies into a measurable signal, showing which zones attract stalled traffic, which high-value areas are rushed, and how these patterns evolve over the day. By converting human motion and posture into structured features, BIEM ties dwell behavior to concrete locations, merchandising choices, content, and service routines. Retailers gain a defensible basis for tuning layouts, refining messaging, and orchestrating staff interactions so that dwell time works in favor of both experience and revenue.