Fragmented service moments quietly erode trust, throughput, and perceived quality. We expose where service demand actually emerges on the floor and help retailers orchestrate staff, tasks, and touchpoints as one coordinated system.
Physical stores generate unpredictable waves of requests, from product questions to assisted sales and problem resolution, but most of this demand remains invisible in planning tools. BIEM turns in-store service demand into a measurable signal, showing where shoppers search for help, how long they wait, and which touchpoints repeatedly fail to respond. By stabilizing human motion and interaction into structured features, BIEM links service gaps and spikes to specific locations, tasks, and time windows. Retailers gain a defensible basis for orchestrating service flows, routing expertise, and aligning on-floor behaviors so that support feels proactive rather than reactive.