Abstract: Examples provides on-hand inventory accuracy using radio frequency identification (RFID) tag data and expected populations of items for a plurality of sub-locations within a scan area. The system calculates a dynamic expected population of items value for each sub-location using item level data and modular display data for an item assortment assigned to a modular display within each sub-location. If the items detected by the RFID tag data match the expected population of items with a minimum confidence level, the system provides user feedback in the form of status indicators and/or accuracy indicators on a user interface. The feedback can also include audio feedback. If a discrepancy is detected, the system requests a rescan of each sub-location having a detected discrepancy. The system disallows update of on-hand inventory data using the RFID tag data if the discrepancy remains unresolved after the second scan and/or requests a manual verification.

Abstract: A system is described that assists a customer in efficiently returning items to a commercial entity, such as a retail store, for a refund. It employs an App running on the customer's mobile device that scans a receipt to acquire return information, receives input from the customer and transmits it to a backend computing device of the commercial entity. The backend computing device receives the return information from the mobile device, and provides an image associated with the return to the mobile device. When the customer arrives at the customer service area of the retail store with the item to return, the backend system reads the image displayed by the mobile device, recalls the return record and uses it for the refund information. If the customer has not violated any return rules, and the item is acceptable, then the cost of the item is refunded to the customer.