Abstract: Examples provide an unrequested item resolution system. A rules-decision engine analyzes unrequested item data using a set of per-item constraints to determine whether to accept or reject at least one unrequested item based on open order(s) and/or predicted future order(s). The rules-decision engine generates a reject notification if an overage amount of the at least one unrequested item exceeds an overage amount threshold or a quantity of the at least one unrequested item is above a quantity threshold. A prediction engine generates an accept notification if the unrequested item(s) conform to one or more predicted items. A resolution component extracts supplier-specific resolution data from a plurality of unresolved remedy tickets for the identified supplier. A notification component generates a consolidated notification for the identified supplier, including the extracted supplier-specific resolution data.

Abstract: Examples provide an unrequested item resolution system. A rules-decision engine analyzes unrequested item data using a set of per-item constraints to determine whether to accept or reject at least one unrequested item based on open order(s) and/or predicted future order(s). The rules-decision engine generates a reject notification if an overage amount of the at least one unrequested item exceeds an overage amount threshold or a quantity of the at least one unrequested item is above a quantity threshold. A prediction engine generates an accept notification if the unrequested item(s) conform to one or more predicted items. A resolution component extracts supplier-specific resolution data from a plurality of unresolved remedy tickets for the identified supplier. A notification component generates a consolidated notification for the identified supplier, including the extracted supplier-specific resolution data.