Case Study: Cali Intelligence reduces retail checkout queues with Ultralytics YOLO

Cali Intelligence reduces checkout queues by 43% with Ultralytics YOLO

Cali Intelligence, an AI solutions provider for physical retail stores, faced the challenge of unpredictable and long checkout queues in busy retail environments. These queues led to shopping cart abandonment, lost sales, and operational inefficiencies. To tackle this, Cali Intelligence implemented computer vision technology from Ultralytics, utilizing their YOLO models to transform existing store CCTV feeds into real-time operational data.

Using Ultralytics YOLO models for object detection and tracking, the solution monitors checkout areas to identify active queues and measure customer buildup. This provides store teams with instant alerts, enabling them to open additional tills proactively. The solution from Ultralytics reduced checkout queues by 43% at deployed sites, improved staffing efficiency by reducing unnecessary checkout openings by up to 10%, and achieved over 90% accuracy in real-world alert triggers, all without requiring new hardware.

Cali Intelligence