Systems and methods for intelligent defaulting using machine learning

Abstract

Systems and methods for intelligent defaulting using machine learning are provided. The systems and methods may involve the use of one or more machine learning models that are used to determine a default shipment option to present to a user through a user interface associated with a product checkout page (for example, on a website or through a mobile device application). The determination of the default shipment option may be performed in two phases. A first phase may involve using user-specific historical data (for example, prior selected shipment options, order information, etc.) to determine scores associated with individual potential shipment options. The scores may indicate a probability that the user may select the individual shipment options. The individual shipment options may also be provided associated threshold values. A second phase may involve adjusting the thresholds based on non-user-specific factors, such as delivery driver preference, profits and other financial considerations, and other factors. A final shipment option may be selected by determining the highest probability score that satisfies its associated threshold. The default shipment option may be presented to the user by default when the user reached the checkout page for the product.