Google Cloud is launching another artificial intelligence-backed feature that allows consumers to track items on store shelves in real-time. The system utilizes a vast data library to identify products in photos, helping retailers better understand customer demands and move toward digital e-commerce. Initially unveiled at the National Retail Federation conference, Google’s shelf-checking tool will help retailers track out-of-stock items and ensure pricing accuracy. The new feature works to identify products at varying angles, including through security cameras installed throughout a store.
By utilizing machine learning modules, the shelf-checking tool can recognize products “of all types, at scale, based solely on the visual and text features of a product, and then translate that data into actionable insights.”
Image Credit: Google
