Audience
Retail stores searching for an automated shelf-stock audit solution
About Shelfie
Automation of menial stock monitoring tasks liberates floor staff to focus on serving customers towards increased average basket sizes. Minimizing stock gaps on shelves improves consumer propensity to purchase. Shelfie cameras can be mounted on top of any standard retail shelf. The cameras take images of retail shelves, and these images are then collected and transferred to the cloud. A cloud-based advanced machine learning and image processing algorithm is used to analyze the shelf images. Once an event is detected the data is sent to the dashboard and mobile app. Detected events are updated automatically to mobile devices informing floor staff to re-stock specific items. A cloud-based advanced machine learning and image processing algorithm is used to analyze the shelf images. Once an event is detected the data is sent to the dashboard and mobile app. Detected events are updated automatically to mobile devices informing floor staff to re-stock specific items.
