Computer vision deployments lift retail productivity

Retailers are increasing their use of computer vision and shelftracking tools to improve store operations and reduce margin pressure, according to a June 18 study by Coresight Research with Simbe and RELEX Solutions. The report says instore inefficiencies remain costly across the sector, with empty shelves, pricing errors, and manual execution problems affecting many operators. It estimates that hardware, mass merchandise, and grocery retailers could lose $196.4 billion in 2026 from these operational shortfalls, while only a minority of companies are running pilot programmes. Adoption is concentrated among larger chains. The study says full storeintelligence deployments now cover 60% of enterprise footprints, and 73% of retailers with more than $5 billion in annual revenue have scaled implementations. Smaller operators trail behind. The article points to BJ’s Wholesale Club and Albertsons as examples of how shelf digitisation and AIdriven workflows can improve inventory visibility, pricing decisions, and fulfilment efficiency. It also notes that many retailers invest in pricing software before putting the necessary shelf sensors and cameras in place, which can weaken the accuracy of downstream systems.