Perfect real-time inventory accuracy is the next big frontier for retail. Current store-level inventory accuracy is estimated to be as low as 60 percent, and this gap represents a massive opportunity for growth. By unlocking complete visibility into products, shoppers, and store activity, retailers can effectively eliminate stockouts, optimise placement, and maximise overall sales.

The business impact is significant. Inventory distortion, including out-of-stocks and overstocks, costs retailers approximately $1.7 trillion globally each year. While modern stores generate vast amounts of data through cameras, sensors, point-of-sale systems, and digital channels, most of it remains siloed. This visibility gap makes it almost impossible for retailers to respond dynamically as floor conditions change throughout the day.

Multi-shopper AI, combining computer vision and real-time analytics to interpret activity across the store, can be a solution. By analysing the behaviour of dozens or even hundreds of shoppers, retailers can gain a broader view of operations and customer behaviour, supporting faster and more informed decision-making.

Computer vision has gained momentum in retail over the last few years. The global market for computer vision in retail is projected to grow from approximately $1.7 billion in 2024 to more than $12.5 billion by 2033, reflecting increasing investment in technologies that enhance operational visibility and informed decision-making.

AI-powered vision systems analyse live video feeds to understand how shoppers move through stores, interact with products, and respond to promotions and product displays. This visibility supports a range of operational improvements. Operations teams can identify congestion points, monitor shelf availability, and assess engagement with promotions.

Source link