Abstract: Systems and methods are directed to assessing risk and triggering a mitigation action prior to executing an offer based on a level of risk. Risk models are trained with data extracted from past transactions, whereby the risk models are configured to determine levels of risk for potential transactions. A request to make an offer on a listing representing an item is received. In response, the system identifies one or more account attributes associated with the user account and determines a level of risk by applying the one or more account attributes to one or more of the risk models. If the level of risk transgresses a threshold, the system triggers the automatic payment flow prior to executing the offer, which includes causing display of an information request user interface through which payment and shipping information is received. Responsive to receiving the payment and shipping information, the offer is executed.

Abstract: The disclosed system and methods adjust one or more parameters affecting the purchase of one or more items and change a buyer interface in order to display the consolidated parameter to a buyer. Example embodiments include a machine-implemented method for detecting an edit to the shopping cart, conducting a complex parameter editing simulation based on data accessed from multiple databases, adjusting a parameter associated with an item in the shopping cart, and adjusting and displaying a cart total to the buyer. The system can further receive an indication to checkout the shopping cart and edit complex parameters during checkout accordingly.