A full video analytics case study for a 32,000 sq ft big-box store — POS-integrated video verification, scan-avoidance and sweethearting analytics rules, camera placement at registers, exits, and high-shrink shelf areas, and a worked false-positive-rate management calculation.
The project brief: a regional retailer's store is running shrink well above chain average, traced to scan-avoidance at self-checkout and organized boosting from three high-shrink categories. This module walks the full deployment — a POS-video integration bridge synchronizing transaction data and self-checkout scale weight data to video, analytics rules tuned specifically for scan-avoidance and sweethearting patterns, and camera placement redesigned around registers, exits, and shelf-level high-shrink zones.
The centerpiece is a worked false-positive-rate calculation showing exactly how much daily review labor an untuned analytics deployment generates versus a properly calibrated one — the difference between a system an LP team actually trusts and one that gets ignored within weeks. The full worked numbers, complete bill of materials, and finished design reasoning are part of the unlocked module below.