US 11,900,435 B2 · Systems and methods of vehicle product or service recommendation

Abstract

This disclosure describes systems, methods, and devices related to predictive modeling for evaluating vehicles. A device may receive a customer identifier (e.g., a user identification number, a social security number, driver license number, etc.). The device may retrieve credit data associated with the user identifier and vehicle data associated with a vehicle. The device may determine a first weight for the credit data and a second weight for the vehicle data. The device may determine, based on the first weight and the second weight, a value. The device may determine whether or not the value exceeds a profitability threshold. The device may determine a loan information associated with the customer identifier. The device may send a first indication of the product or service to a user device for presentation. The device may send a second indication of the loan information to the second device for presentation.

Claims20

Dependent claims

A method comprising:

receiving, by a device comprising at least one processor, a customer identifier associated with a customer;
determining, by the device, financial data associated with the customer identifier;
determining, by the device, vehicle data associated with a vehicle;
determining, by the device, loan information associated with the customer identifier and the vehicle;
determining, by the device, a financial or insurance product or service associated with the vehicle;
determining, by the device, using a machine learning model configured to minimize a difference between an expected profitability and a value indicative of a profitability of a purchase of the vehicle and the financial or insurance product or service by adjusting correlations of at least one of the financial data, the vehicle data, or the loan information to the profitability, the value;
and
sending, by the device, based on the value, a first indication of the vehicle, a second indication of the financial or insurance product or service, and a third indication of the loan information to a second device for presentation.

5 more elements

A system comprising memory coupled to at least one processor, the at least one processor configured to:

receive a customer identifier associated with a customer;
determine financial data associated with the customer identifier;
determine vehicle data associated with a vehicle;
determine loan information associated with the customer identifier and the vehicle;
determine a financial or insurance product or service associated with the vehicle;
determine, using a machine learning model configured to minimize a difference between an expected profitability and a value indicative of a profitability of a purchase of the vehicle and the financial or insurance product or service by adjusting correlations of at least one of the financial data, the vehicle data, or the loan information to the profitability, the value;
and
send, based on the value, a first indication of the vehicle, a second indication of the financial or insurance product or service, and a third indication of the loan information to a second device for presentation.

5 more elements

A device comprising memory coupled to at least one processor, the at least one processor configured to:

receive a customer identifier associated with a customer;
determine financial data associated with the customer identifier;
determine vehicle data associated with a vehicle;
determine loan information associated with the customer identifier and the vehicle;
determine a financial or insurance product or service associated with the vehicle;
determine, using a machine learning model configured to minimize a difference between an expected profitability and a value indicative of a profitability of a purchase of the vehicle and the financial or insurance product or service by adjusting correlations of at least one of the financial data, the vehicle data, or the loan information to the profitability, the value;
and
send, based on the value, a first indication of the vehicle, a second indication of the financial or insurance product or service, and a third indication of the loan information to a second device for presentation.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods of vehicle product or service recommendation

Life of this patent

Systems and methods of vehicle product or service recommendation

Life of this patent

Abstract

Claims20