SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIA FOR PREDICTING A CUSTOMER'S CREDIT SCORE

摘要

In different embodiments of the present invention, systems, methods, and computer-readable storage media establishes a predicted credit score for a target customer that does not have an established credit history and/or a FICO credit score is provided. An indicator of the purchasing power of the target customer is established as a function of stored purchasing data. A machine learning model is used to establish a predicted credit score associated with the target customer as a function of the purchasing power indicator of the target customer and the machine learning model.

主权项

1. A system for establishing a predicted credit score for a target customer that does not have an established credit history and/or a FICO credit score, comprising:
a memory unit configured to store purchasing data associated with the target customer, the purchasing data including the target customer's purchasing transactions with a retailer, the purchasing data for the target customer being stored in an associated customer account; a customer purchasing power indicator unit coupled to the memory unit and being configured to establish an indicator of the purchasing power of the target customer as a function of the purchasing data in the associated customer account and to store the established purchasing power indicator of the target customer in the memory unit, the memory unit being further configured to store a purchasing power indicator and a credit score indicator for each of a plurality of other customers; a machine learning model unit coupled to the memory unit and being configured to train a machine learning model as a function of the purchasing power indicator and the credit score indicator associated with each of the plurality of other customers; and, a credit score prediction unit coupled to the memory unit and the customer purchasing power indicator unit and being configured to establish a predicted credit score associated with the target customer as a function of the purchasing power indicator of the target customer and the machine learning model and to store the predicted credit score in the memory unit.