We help retailers allocate checkout capacity to match real arrival patterns instead of rough rules of thumb.

Physical stores experience sharp, local spikes in checkout demand that are difficult to see from aggregate sales or ticket data. BIEM turns pre-checkout flow and queue behavior into a measurable signal, showing how customers build up around different payment points, how long they wait, and when they abandon. By interpreting patterns in approach paths, queue formation, and service time, BIEM connects checkout performance to specific layouts, staffing choices, and lane configurations. Retailers gain a defensible basis for opening and closing lanes, steering customers between options, and redesigning checkout zones so that peak demand is absorbed with minimal friction.