SHELFIE ROBOT

Shelfie is a Retail Shelf Analytics Platform which automates in-store tasks such as gaps monitoring and shelves restocking with an AI based system consistent across all stores. It delivers automatic out-of-stock alerts at store level and consolidated reports and analysis at head-office level. Shelfie is an exception based system that understands the “Perfect Shelf” and identifies anything that is not as it should be. The Shelfie Index is transforming retail operations by helping to ... identify stock gaps, alerting staff to pricing and planogram discrepancies within the store and proving a new KPI that is all about the physical appearance of a store The Shelfie Robot is an autonomous robot that navigates itself around the store taking images for analysis by the Shelfie platform. The Shelfie fixed camera is a small device that can be placed anywhere in the store to fed data to the Shelfie platform. Multiple fixed cameras can be installed within a store and are ideal for those areas of the store that are difficult for the robot to reach. The Shelfie handheld eye can be implemented on any iOS or Android device with sufficient camera resolution. It gives ultimate flexibility to the Shelfie solution and creates a completely mobile eye for the platform. Shelfie Air is a drone version of the Shelfie Eye. With its much higher reach and broader range, Shelfie Air is designed to tackle operational challenges in the warehouse environment. The Shelfie Index provides a means of comparing current shelf stock, planogram and pricing compliance with the ideal of “perfect” shelf. It provides both staff and management a metric by which they can measure and compare re-stocking performance. The Shelfie platform was created in response to major operational pain points identified in the retail industry. Validated in the global market with Microsoft showcasing Shelfie in New York at the biggest global retail technology show. From that point Shelfie has quickly moved from concept to production. The Shelfie platform has been tested in many retail environments now and the underlying platform is proving to be very valuable to the store operations. More