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: 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: Systems and methods described herein relate to scheduling and coordination of particular tasks based upon dynamically updated product inventory data. These systems and methods increase the efficiency of stocking and fulfillment as well as inventory auditing of the inventory.

Abstract: A system and method for assigning employees that are schedule to work at a brick and mortar retail store location to coverage areas within the retail store and/or tasks associated with those coverage areas. The system and method takes into account the required coverage area times of each coverage area within the store location, the master schedule of employees available to work within a defined time period that is provided by a schedule management system, and management's preferences regarding coverage area priorities for or associated with certain employees, and then automatically assigns coverage to the scheduled employees based on all those variables. The system and method identifies individuals whose scheduled work shift overlaps with required coverage area times and who are preferred to work in the coverage area and assigns such individuals to work in the coverage area during the overlapping time period (or a portion thereof).