Intuit Inc.
Instant Lending Decisions

Abstract:

A method including training a machine learning algorithm by iteratively adjusting, by a computer processor, adjusted matching parameters to increase a correlation between approval statistics of lending decisions and risk profiles. The risk profiles represent probabilities of businesses defaulting on a loan. The probabilities are derived from usage statistics of a business management application (BMA) used by the businesses. Iteratively adjusting continues until reaching a threshold correlation between the approval statistics and the lending decisions and the risk profiles. Training generates an updated machine learning algorithm. An updated risk score for a business entity is generated using a number of logins to the BMA made by the business entity.