Systems and methods for assessing trustworthiness of customer accounts in omnichannel retail transactions using machine learning

Abstract

Systems and methods for assessing trustworthiness of customer accounts in retail and e-commerce systems using machine learning are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a trust assessment request regarding a customer account; generating at least one trust-related feature or quantitative attribute associated with the customer based on historical transaction data and relevant account information of the customer; computing, using at least one machine learning model, trust score data of the customer based on the at least one trust-related feature; and transmitting, in response to the trust assessment request, the trust score data of the customer to the computing device.

CPC Classifications