Abstract: A method for automatically processing an online return request including receiving a refund request from an electronic device of a user for returning an item previously purchased as part of a store. The method further can include processing a refund solution based on the refund request. The method can process the refund solution by: (a) determining a returnable status of the item; (b) when the returnable status for the item is negative, returning a rejection decision to the electronic device; and/or (c) when the returnable status for the item is positive: (i) generating a cost-benefit analysis result; (ii) when the cost-benefit analysis result is negative, processing the refund request by returning a return amount to the user for the item; and/or (iii) when the cost-benefit analysis result is positive, providing an authorization for a return of the item in order for the user to receive the return amount. Other embodiments are disclosed.

Abstract: A system can include one or more processors and non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform a method for automatically processing an online return request. The method performed by the system can receive a refund request from a user computer used by a customer of a grocery store, the refund request for returning a grocery item (a) previously purchased as part of a transaction of the grocery store and (b) paid for by a payment method via the transaction; and process a refund solution based on the transaction and the grocery item. In this system, the method can process the refund solution by determining a returnable status of the grocery item according to one or more returnability rules dynamically generated by a machine learning model. If the returnable status of the grocery item is negative, the method performed by this system can deny the return request.

Abstract: A system can include one or more processors and non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform a method for automatically processing an online return request. The method performed by the system can receive a refund request from a user computer used by a customer of a grocery store, the refund request for returning a grocery item (a) previously purchased as part of a transaction of the grocery store and (b) paid for by a payment method via the transaction; and process a refund solution based on the transaction and the grocery item. In this system, the method can process the refund solution by determining a returnable status of the grocery item according to one or more returnability rules dynamically generated by a machine learning model. If the returnable status of the grocery item is negative, the method performed by this system can deny the return request.