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US 2013/0173450 A1Published application
System and method for automated detection of never-pay data sets
AssigneeExperian Information Solutions, Inc.
InventorsChristopher J. Celka, Cristian R. Rojas
Life of this patent
Estimating the term…
Abstract
Data filters, models, and/or profiles for identifying and/or predicting the never-pay population (for example, those customers that make a request for credit and obtain the credit instrument but over the life of the account, never make a payment) can be useful to various commercial entities, such as those issuing mortgages, home equity lines of credit, consumer or business lines of credit, automobile loans, credit card accounts, or those entities providing services, such as utility services, phone services, and the like.
Claims1
A computerized method comprising:
- accessing computer-executable instructions from at least one computer-readable storage medium;
- and
- executing the computer-executable instructions, thereby causing computer hardware comprising at least one computer processor to perform operations comprising:
- analyzing data associated with a credit line during an application stage for predictive variables for use in a plurality of models for first party fraud, wherein the analyzing includes analyzing information provided by an entity applying for a credit line for false information;
- flagging an account during the application stage when at least one or more predictive application stage variables of first party cause a fraud score to exceed a pre-described fraud likelihood threshold;
- analyzing data associated with one or more previously flagged, existing credit lines after the application stage for elements to be used in a model to predict first party fraud in one or more of the existing credit lines;
- merging a first party fraud score associated with the application with a second first party fraud score associated with the application;
- and
- automatically attempting to contact the entity associated with a flagged account.
6 more elements
Dependencies are inferred from the claim text.