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: Techniques are described for use in selectively authorizing proposed transactions under certain circumstances, such as when payments for the transactions are not assured. In some situations, when payments to a merchant from customers are not assured for proposed item acquisition transactions involving those customers, determinations are made to authorize and proceed with at least some of those proposed transactions in an automatic and selective manner without the assurance of receiving the payments for the selected transactions. For example, a selective determination of whether to authorize a proposed transaction may be made based on analyzing information about the proposed transaction (e.g., about the item(s) involved in the transaction, a payment amount of the transaction, the customer(s) involved in the transactions, etc.) and on information regarding other prior transactions.

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.