Asda has begun trialling AI-powered shelf-scanning cameras in five of its UK stores, aiming to optimise inventory management and reduce waste.

The initiative, developed in partnership with software specialist Focal Systems, introduces technology that leverages deep learning and edge computing to process data locally and integrate it with retailers’ systems for operational improvements. The cameras are mounted on poles at the top of shelves, each scanning approximately two and a half metres of shelf space in front of them.

Operating on an hourly basis, the cameras detect available, out-of-stock, or low-stock items, spoiled products, and misplaced items. This provides real-time visibility of shelf conditions and is intended to enhance inventory accuracy, reduce food waste, and improve product availability for customers.

Retailers across the UK and Europe are increasingly upgrading automation processes by implementing deep learning, AI, and robotics. In August, Marks & Spencer (M&S) announced an investment of £340 million in the development of an advanced automated food distribution centre in Northamptonshire, expected to open in 2029. This marks the largest supply chain investment in the company’s history and supports its ambition to double the size of its food business.

Similarly, Just Eat has recently launched a trial of AI-powered robot deliveries in Zurich, Switzerland, in collaboration with Swiss robotics company RIVR. The project is the first in Europe to test hybrid robots equipped with both wheels and legs and physical artificial intelligence for on-demand delivery.

Automation is also being tailored to specific retail environments. Bestseller, the Danish fashion group behind brands such as Jack & Jones and Vero Moda, has invested in robotic sewing technology developed by Softwear Automation. This fully autonomous solution is expected to accelerate t-shirt production, scale manufacturing capacity, and strengthen research and development.

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