Abstract: A method, system, and computer-readable medium for assisting in automatically identifying and handling erroneous orders is described. In some situations, an automatic identification is made of received orders from users that are duplicates of one or more other orders recently placed by those users. When orders are identified as being potentially erroneous, fulfillment of those orders may be delayed while automatically querying the users to obtain manual confirmation to continue with the order fulfillment. In other situations, other types of orders are analyzed, orders are identified as being potentially erroneous in other ways, and such orders are handled in ways other than based on querying for a manual confirmation or rejection response. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A method, system, and computer-readable medium for assisting in automatically identifying and handling erroneous orders is described. In some situations, an automatic identification is made of received orders from users that are duplicates of one or more other orders recently placed by those users. When orders are identified as being potentially erroneous, fulfillment of those orders may be delayed while automatically querying the users to obtain manual confirmation to continue with the order fulfillment. In other situations, other types of orders are analyzed, orders are identified as being potentially erroneous in other ways, and such orders are handled in ways other than based on querying for a manual confirmation or rejection response. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.