US2021150625A1PendingUtilityA1

Customizing loan specifics on a per-user basis

Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COPriority: May 5, 2016Filed: Jan 28, 2021Published: May 20, 2021
Est. expiryMay 5, 2036(~9.8 yrs left)· nominal 20-yr term from priority
G06N 7/01G06Q 40/03G06Q 20/3676G06Q 20/108G06N 20/00H04W 4/029G06Q 30/016G06Q 30/0205G06Q 30/0269G06Q 30/0255G06F 17/18G06N 5/046G06Q 30/0267G06Q 30/0226G06N 5/04G06Q 40/02G06Q 10/063112G06Q 30/0207G06Q 30/0261G06Q 50/20H04W 4/02G06Q 40/025
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Claims

Abstract

Techniques are disclosed to provide customized loans on a per-user basis. With user permission or affirmative consent, user data may be monitored for several users, which may be used to calculate initial loan specifics such as a loan rate and term based upon a portion of this user input data. The user data may include demographic data, behavioral data, or other data indicative of a user's future potential earnings or other relevant information that may be analyzed to determine, for that specific user, the current likelihood that the user will default on the loan and a future likelihood of default. When this future statistical likelihood is determined, the initial loan specific may be further modified and/or a targeted notification may be sent indicating these customized loan specifics.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer-implemented method for determining a customized loan for a user, comprising:
 receiving, by one or more processors and/or transceivers, a request for a loan amount for a loan term;   calculating, by one or more processors, a statistical risk of default on the requested loan;   calculating, by one or more processors, a loan rate for the requested loan amount and loan term based upon the statistical risk of default;   receiving, by one or more processors, user input data including (i) demographic data for the user, and (ii) user behavioral data associated with the user;   calculating, by one or more processors, an adjusted statistical risk of default on the requested loan based upon the user input data;   adjusting, by one or more processors, the calculated loan rate for the requested loan to an adjusted loan rate based upon the adjusted statistical risk of default; and   presenting, by one or more processors and/or transceivers, the adjusted loan rate to the user.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising:
 calculating, by one or more processors, the user's potential future earnings over the loan term based upon the user behavioral data, and   wherein the act of calculating the adjusted statistical risk of default includes calculating the adjusted statistical risk of default based upon the user's current earnings from the user input data and the user's potential future earnings.   
     
     
         3 . The computer-implemented method of  claim 2 , wherein the act of calculating the user's potential future earnings comprises:
 determining whether the user is currently participating in one or more training programs or college courses that will increase the user's current earnings within the loan term.   
     
     
         4 . The computer-implemented method of  claim 2 , wherein the act of calculating the user's potential future earnings comprises:
 identifying other users having a demographic profile that matches that of the user, the other users having completed the same one or more training programs or college courses in which the user is currently participating; and   calculating, as the user's potential future earnings, an average income of each of the other users at a future time within the loan term.   
     
     
         5 . The computer-implemented method of  claim 2 , wherein the act of adjusting the calculated loan rate to the adjusted loan rate comprises:
 when the user's potential future earnings are greater than the user's current earnings in excess of a threshold amount, decreasing the calculated loan rate to a lower loan rate.   
     
     
         6 . The computer-implemented method of  claim 5 , wherein the act of adjusting the calculated loan rate to the lower loan rate comprises:
 decreasing the calculated loan rate to the lower loan rate by an amount that is proportional to an amount in which the user's potential future earnings exceed the user's current earnings.   
     
     
         7 . The computer-implemented method of  claim 1 , further comprising:
 transmitting, by one or more processors and/or transceivers, a notification to a computing device associated with the user via wireless communication or data transmission over one or more radio links or wireless communication channels, and   wherein the act of presenting the adjusted loan rate to the user comprises:   displaying the adjusted loan rate on a display associated with the computing device in response to the user responding to the notification.   
     
     
         8 . A computer system, comprising:
 a client device configured to:
 transmit a request for a loan amount for a loan term via wireless communication or data transmission over one or more radio links or wireless communication channels; and 
   one or more back-end components configured to:
 receive the request for the loan amount for the loan term; 
 calculate a statistical risk of default on the requested loan; 
 calculate a loan rate for the requested loan amount and loan term based upon the statistical risk of default; 
 receive user input data including (i) demographic data for the user, and (ii) user behavioral data; 
 calculate an adjusted statistical risk of default on the requested loan based upon the user input data; 
 adjust the calculated loan rate for the requested loan to an adjusted loan rate based upon the adjusted statistical risk of default; and 
 transmit a notification including the adjusted loan rate to the client device via wireless communication or data transmission over one or more radio links or wireless communication channels. 
   
     
     
         9 . The computer system of  claim 8 , wherein the one or more back-end components are further configured to calculate the user's potential future earnings over the loan term based upon the user behavioral data, and to calculate the adjusted statistical risk of default based upon the user's current earnings from the user input data and the user's potential future earnings. 
     
     
         10 . The computer system of  9 , wherein the one or more back-end components are further configured to calculate the user's potential future earnings by determining whether the user is currently participating in one or more training programs or college courses that will increase the user's current earnings within the loan term. 
     
     
         11 . The computer system of  claim 9 , wherein the one or more back-end components are further configured to calculate the user's potential future earnings by identifying other users having a demographic profile that matches that of the user, the other users having completed the same one or more training programs or college courses in which the user is currently participating, and calculating, as the user's potential future earnings, an average income of each of the other users at a future time within the loan term. 
     
     
         12 . The computer-implemented method of  claim 9 , wherein the one or more back-end components are further configured to adjust the calculated loan rate to a lower loan rate when the user's potential future earnings are greater than the user's current earnings in excess of a threshold amount. 
     
     
         13 . The computer-implemented method of  claim 12 , wherein the one or more back-end components are further configured to decrease the calculated loan rate to the lower loan rate by an amount that is proportional to an amount in which the user's potential future earnings exceed the user's current earnings. 
     
     
         14 . The computer-implemented method of  claim 1 , wherein the one or more back-end components are further configured to transmit a notification to the client device via wireless communication or data transmission over one or more radio links or wireless communication channels, and
 wherein the client device is further configured to display the adjusted loan rate in response to the user responding to the notification.   
     
     
         15 . A computer-implemented method, comprising:
 receiving, by one or more processors and/or transceivers, a request for a loan amount for a loan term from a user mobile device via wireless communication or data transmission over one or more radio links or wireless communication channels;   calculating, by one or more processors, a statistical risk of default on the requested loan;   calculating, by one or more processors, a loan rate for the requested loan amount and loan term based upon the statistical risk of default;   receiving, by one or more processors, user input data including (i) demographic data for the user, and (ii) user behavioral data;   calculating, by one or more processors, an adjusted statistical risk of default on the requested loan based upon the user input data;   adjusting, by one or more processors, the calculated loan rate for the requested loan to an adjusted loan rate based upon the adjusted statistical risk of default; and   presenting, by one or more processors and/or transceivers, the adjusted loan rate to the user by transmitting the adjusted loan rate to the user mobile device via wireless communication or data transmission over one or more radio links or wireless communication channels.   
     
     
         16 . The computer-implemented method of  claim 15 , further comprising:
 calculating, by one or more processors, the user's potential future earnings over the loan term based upon the user behavioral data, and   wherein the act of calculating the adjusted statistical risk of default includes calculating the adjusted statistical risk of default based upon the user's current earnings from the user input data and the user's potential future earnings.   
     
     
         17 . The computer-implemented method of  claim 16 , wherein the act of calculating the user's potential future earnings comprises:
 determining whether the user is currently participating in one or more training programs or college courses that will increase the user's current earnings within the loan term.   
     
     
         18 . The computer-implemented method of  claim 16 , wherein the act of calculating the user's potential future earnings comprises:
 identifying other users having a demographic profile that matches that of the user, the other users having completed the same one or more training programs or college courses in which the user is currently participating; and   calculating, as the user's potential future earnings, an average income of each of the other users at a future time within the loan term.   
     
     
         19 . The computer-implemented method of  claim 16 , wherein the act of adjusting the calculated loan rate to the adjusted loan rate comprises:
 when the user's potential future earnings are greater than the user's current earnings in excess of a threshold amount, decreasing the calculated loan rate to a lower loan rate.   
     
     
         20 . The computer-implemented method of  claim 19 , wherein the act of adjusting the calculated loan rate to the lower loan rate comprises:
 decreasing the calculated loan rate to the lower loan rate by an amount that is proportional to an amount in which the user's potential future earnings exceed the user's current earnings.

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