We help retailers understand how queues emerge, grow, and dissolve across the store—not just at the final checkout.

Physical environments generate queues at cash desks, service counters, click-and-collect points, and ad hoc help spots, but many of these lines are effectively invisible in traditional metrics. BIEM turns queue behavior into a measurable signal, showing where people start waiting, how long they tolerate delays, and when they abandon or reroute. By stabilizing movement, dwell, and interaction into structured features, BIEM ties queue formation to specific layouts, staffing decisions, and process steps. Retailers gain a defensible basis for redesigning flows, reallocating capacity, and setting thresholds that keep waiting time within acceptable bounds.