3rd Physical Retail AI Workshop
Abstract
Applications of vision-based Artificial Intelligence (AI) methods are increasingly present throughout so-ciety. Fueled by recent advances in Computer Vision, Deep Learning, web-scale training of vision andlanguage models (“foundation models”), and edge compute, AI applications have expanded into a novel ar-ray of industries and products. In particular, the physical retail and grocery sectors have recently experienced an explosion of AI-enabled technologies, allowing for more efficient, effortless, and engaging experiences for shoppers, enabling the reduction of shrinkage for retailers, and providing insights on improving store efficiency, thereby reducing operational costs. Computer Vision applications are being deployed to numerous retail sectors, including small convenience stores, large grocery stores, fashion stores, and shopping carts, etc. The workshop series in WACV already attracted a community of CV researchers to attend continuously and also 90+ participation teams in GroceryVision challenges from around the world; we expect in 2026 to expand to 100+ teams. The 3rd Physical Retail AI Workshop (PRAW) in WACV 2026 introduces the novel area of Computer Vision applications to Physical Retail and a continuation of previous successful workshops in WACV 2024, CVPR 2024, WACV 2025 and ICCV 2025. The proposed workshop is expected to produce the publication of approximately 6 full-length papers included in workshop proceedings, release a novel and publicly available dataset (GroceryVision dataset) to the Computer Vision community, and collaborate to garner further attention and interest to WACV and its Workshops.