US 11,861,699 B1
Credit offers based on non-transactional data
Juan Ignacio Santa Cruz Masoni, San Francisco, CA (US); Philip Spanoudes, San Francisco, CA (US); Melissa Doerken, San Francisco, CA (US); and Jerome Weiss, San Francisco, CA (US)
Assigned to BLOCK, INC., Oakland, CA (US)
Filed by Block, Inc., San Francisco, CA (US)
Filed on Oct. 8, 2021, as Appl. No. 17/497,021.
Application 17/497,021 is a continuation of application No. 16/024,167, filed on Jun. 29, 2018, granted, now 11,144,990.
Int. Cl. G06Q 40/00 (2023.01); G06Q 40/03 (2023.01)
CPC G06Q 40/03 (2023.01) 17 Claims
OG exemplary drawing
 
1. A system comprising:
one or more processors associated with a payment service, the one or more processors configured by executable instructions to perform operations including:
receiving first transaction data that represents a first plurality of transactions processed by the payment service;
determining, using a trained model and based on the first transaction data, that a probability of default for a user of the payment service satisfies a first probability threshold;
determining, using the trained model and based on the first transaction data, a first financing factor for the user, the first financing factor based at least on first income of the user determined based at least on the first transaction data;
generating, based on the first financing factor, a first offer of credit for the user;
sending, to a computing device of the user, information associated with the first offer of credit, causing, at least in part, the computing device of the user to display the information associated with the first offer of credit;
subsequent to sending the information associated with the first offer of credit to the computing device of the user, comparing characteristics of the user with characteristics of at least one similar user, wherein the at least one similar user is similar to the user based on at least one of location information, business category information, or employee information;
determining a probability that the user has second income that is different from the first income based on the comparing the characteristics of the user with the characteristics of the at least one similar user;
based at least on a second probability threshold being satisfied by the determined probability that the user has second income, receiving third party information associated with the user from one or more third party systems;
determining, based on the third party information received from the one or more third party systems, that the user has second income that is different from the first income determined based at least on the first transaction data;
receiving, from the one or more of the third party systems, second transaction data that represents a second plurality of transactions associated with the user, the second transaction data indicating the second income;
determining, using the trained model, a second financing factor for the user based on the second transaction data, wherein the trained model is configured to determine the second financing factor based on the second transaction data received from the one or more third party systems;
generating, based on the first financing factor and the second financing factor, a second offer of credit that is different from the first offer of credit; and
sending, to the computing device of the user, information associated with the second offer of credit, causing, at least in part, the computing device of the user to display updated information including the information associated with the second offer of credit.