Methods and systems for providing a vehicle recommendation

Patent metadata

Field	Value
Publication number	US-2021182933-A1
Application number	US-201916711798-A
Country	US
Kind code	A1
Filing date	Dec 12, 2019
Priority date	Dec 12, 2019
Publication date	Jun 17, 2021
Grant date	—

Abstract

A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

First claim

1 . A computer-implemented method for providing a vehicle recommendation for a user, the method comprising:
obtaining, via one or more processors, transactional data of the user from one or more transactional entities, wherein the transactional data comprises at least one of a salary or a spending pattern of the user; determining, via the one or more processors, a monthly payment goal of the user based on one or more inputs provided by the user via one or more interactive components of a user device, wherein the one or more inputs include a monthly payment amount goal defined by the user; determining, via the one or more processors, purchasing power data of the user based on the transactional data and the monthly payment goal, wherein the purchasing power data comprises at least a vehicle price range; obtaining, via the one or more processors, sales data of one or more vehicles, wherein the sales data of the one or more vehicles comprises sale prices of the one or more vehicles; comparing, via the one or more processors, the purchasing power data and the sales data; training, via the one or more processors, a machine learning model based on the comparison of the purchasing power data and the sales data to map at least one variable to a value of the vehicle recommendation as a function of one or more of the transactional data, the purchasing power data, the monthly payment goal, or the sales data; determining, via the trained machine learning model, the vehicle recommendation based on the at least one mapped variable from the comparison between the purchasing power data and the sales data; and transmitting, to the user device, a notification indicating the vehicle recommendation.

2 . The computer-implemented method of claim 1 , wherein the transactional data further includes a debt, a loan, an additional income, or a credit score of the user.

3 . The computer-implemented method of claim 1 , wherein the one or more transactional entities include one or more merchants including one or more vehicle dealers, financial services providers, or online resources.

4 . The computer-implemented method of claim 3 , wherein the one or more transactional entities include the one or more vehicle dealers, and wherein the sales data of the one or more vehicles further includes one or more dealer identifications associated with the one or more vehicle dealers.

5 . The computer-implemented method of claim 3 , wherein the one or more transactional entities include the one or more vehicle dealers, the computer-implemented method further including transmitting, to the one or more vehicle dealers, the notification indicating the vehicle recommendation.

6 . The computer-implemented method of claim 1 , wherein the purchasing power data further includes demographic information of the user.

7 . The computer-implemented method of claim 1 , wherein comparing the purchasing power data and the sales data includes comparing the vehicle price range of the user, the monthly payment amount goal of the user, and the sale prices and monthly payment amounts of the one or more vehicles.

8 . The computer-implemented method of claim 1 , further including, prior to obtaining the transactional data of the user, authenticating a user identification of the user.

9 .- 19 . (canceled)

20 . A computer system for providing a vehicle recommendation to a user, comprising:
a memory storing instructions; and one or more processors configured to execute the instructions to perform operations including:
obtaining transactional data of the user from one or more transactional entities, wherein the transactional data comprises at least one of a salary or a spending pattern of the user;
determining purchasing power data of the user based on the transactional data, wherein the purchasing power data comprises at least a vehicle price range;
obtaining sales data of one or more vehicles, wherein the sales data of the one or more vehicles comprises sale prices of the one or more vehicles;
comparing the purchasing power data and the sales data to identify the one or more vehicles having sale prices within the vehicle price range;
training a machine learning model based on the comparison between the purchasing power data and the sales data to map one or more variables to a value of the vehicle recommendation as a function of at least one of the transactional data, the purchasing power data, or the sales data;
determining the vehicle recommendation, using the trained machine learning model, from the one or more vehicles having sale prices within the vehicle price range based on the one or more mapped variables determined from the comparison between the purchasing power data and the sales data to identify a subset of the one or more vehicles that exceed a personalized threshold of similarity with the purchasing power data; and
transmitting, to the user, a notification indicating the vehicle recommendation.

21 . The computer-implemented method of claim 1 , further including, prior to comparing the purchasing power data and the sales data, determining, via the one or more processors, modified sales data of the one or more vehicles for the user based on the transactional data, the modified sales data including a personalized monthly payment amount for each of the one or more vehicles that is personalized for the user, such that the modified sales data for the one or more vehicles varies for other users.

22 . The computer-implemented method of claim 21 , wherein the monthly payment goal further includes a percentage rate goal, and the modified sales data further includes a personalized annual percentage rate;
the method further including, prior to training the machine learning model, comparing, via the one or more processors, the monthly payment goal and the modified sales data to identify the one or more vehicles having (i) the personalized annual percentage rate that is within the percentage rate goal and (ii) the personalized monthly payment amount that is within the monthly payment amount goal; and training, via the one or more processors, the machine learning model based on the comparison of the monthly payment goal and the modified sales data to map at least one variable to the value of the vehicle recommendation as a function of one or more of the monthly payment goal and the modified sales data.

23 .- 31 . (canceled)

32 . The computer system of claim 20 , wherein the one or more processors are configured to execute the instructions to perform operations including:
prior to comparing the purchasing power data and the sales data, determining modified sales data of the vehicles for the user based on the transactional data and the sales data, wherein the modified sales data includes at least a personalized monthly payment amount that is personalized to the user for each vehicle, such that the personalized monthly payment amount is different for a second user for each of the vehicles.

33 . The computer system of claim 32 , wherein the one or more processors are configured to execute the instructions to perform operations including:
prior to comparing the purchasing power data and the sales data, determining purchasing goal data of the user based on inputs received from a user device, wherein the purchasing goal data includes at least a monthly payment amount goal and a percentage rate goal; and comparing the purchasing power data, the purchasing goal data, and the modified sales data to identify one or more vehicles having (i) a sale price that is within the vehicle price range, and (ii) the personalized monthly payment amount that is within the monthly paym

Assignees

• Capital One Services Llc

Inventors

• Subramanian Ponnazhakan
• Unnikrishnan Sasi Kumar
• Chikkaveerappa Satish

Classifications

• G06Q30/0611

  Request for offers or quotes · CPC title

• G06Q30/0625

  by formulating product or service queries, e.g. using keywords or predefined options · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06Q40/02

  Banking, e.g. interest calculation or account maintenance (credit or loans G06Q40/03) · CPC title