Scandit launched Self-Checkout Loss Prevention, software that compares camera footage with scanner and point-of-sale data to flag potential losses before checkout finishes. It detects patterns including missed scans, items left in trolleys and abandoned transactions. On-screen prompts let shoppers correct flagged items, with staff notifications available when intervention is needed.
Video processing runs locally at each checkout station. The system can reuse existing cameras and does not require a dedicated in-store server or purpose-built AI camera, although installations may need a per-station processing unit. It analyses items and transaction activity without facial recognition or biometric identification.
