IP Library › Granted Patent US 10,878,509
Granted Patent B1
US 10,878,509 · App. 15/343,676 · Granted Dec 29, 2020

Systems and methods for utilizing telematics data

Inventors: Jodi J. Healy (Johns Creek, GA); Paul G. Canario (San Antonio, TX); Steven T. Drawert (San Antonio, TX); Christine M. Brown (San Antonio, TX); Rod Gonzales (San Antonio, TX); Robert K. Dohner (San Antonio, TX); Joel Camarano (San Antonio, TX)
Assignee: United Services Automobile Association (USAA)
G06Q40/08G06N7/005
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Quick Facts
Patent No.
US 10,878,509
App. No.
15/343,676
Filed
Nov 4, 2016
Granted
Dec 29, 2020
Kind
B1
Art Unit
2126
USPC
706/46
Abstract

A computer system and method for performing predictive analytics on telematics data regarding an entity. The computer system having a memory configured to store instructions and a processor disposed in communication with the memory. The processor upon execution of the instructions is configured to receive telematics data regarding an entity and analyze the received telematics data to identify a pattern of behavior. A behavioral conclusion and/or meaning is then determined for the entity based on analysis of the received telematics data.

Claims (39)

1. A computer system for calculating an insurance premium, comprising:

a telematics device configured to capture telematics data regarding location information associated with an entity;

a predictive analytical computer device including a processor configured to:

receive telematics data from the telematics device;

analyze the received telematics data to identify a pattern of location behavior associated with an entity, wherein the pattern includes frequency of travel to at least one location;

analyze the received telematics to determine a change in the pattern of location behavior;

infer a behavioral conclusion for the entity based on the change in the pattern of location behavior; and

calculate a premium for an insurance policy based on the behavioral conclusion.

2. A computer system as recited in claim 1 , wherein the insurance policy is a life insurance policy.

3. A computer system as recited in claim 1 , wherein the pattern includes travel to the location at a certain time period.

4. A computer system as recited in claim 1 , wherein the premium is a modification to an existing insurance policy.

5. A computer system as recited in claim 1 , wherein the pattern includes information regarding traffic, weather, health of the entity, a vehicle condition, or participation in a carpool by the entity during travel to the location.

6. The computer system as recited in claim 1 , the processor further configured to:

infer a time and channel to contact a party associated with the insurance policy based on the analysis of the received telematics data; and

contact the party regarding the premium at the time using the channel.

7. A computer system as recited in claim 1 , wherein the telematics device consists of a plurality of devices.

8. A computer device as recited in claim 1 , wherein the telematics device includes one of a camera device, a smart phone device, a portable computing device, a vehicle navigation system, or a wearable computing device.

9. A system including a non-transitory computer readable medium storing instructions that when executed:

receive telematics data from a telematics device;

analyze the received telematics data to identify a pattern of location behavior associated with an entity, wherein the pattern includes frequency of travel to at least one location;

analyze the received telematics to determine a change in the pattern of location behavior;

infer a behavioral conclusion for the entity based on the change in the pattern of location behavior; and

calculate a premium for an insurance policy based on the behavioral conclusion.

10. A system as recited in claim 9 , wherein the insurance policy is a life insurance policy.

11. A system as recited in claim 9 , wherein the pattern includes travel to the location at a certain time period.

12. A system as recited in claim 9 , wherein the premium is a modification to an existing insurance policy.

13. A system as recited in claim 9 , wherein the behavioral conclusion is a life event for a party associated with the insurance policy.

14. The system as recited in claim 9 , the non-transitory computer readable medium further storing instructions that when executed:

infer a time and channel to contact a party associated with the insurance policy based on the analysis of the received telematics data; and

contact the party regarding the premium at the time using the channel.

15. A system as recited in claim 9 , wherein the telematics device consists of a plurality of devices.

16. A system as recited in claim 9 , wherein the telematics device includes one of a camera device, a smart phone device, a portable computing device, a vehicle navigation system, or a wearable computing device.

17. A method, comprising:

receiving telematics data from a telematics device;

analyzing the received telematics data to identify a pattern of location behavior associated with an entity, wherein the pattern includes frequency of travel to at least one location;

analyzing the received telematics to determine a change in the pattern of location behavior;

inferring a behavioral conclusion for the entity based on the change in the pattern of location behavior; and

determining a promotion for delivery to the entity based on the behavioral conclusion.

18. The method of claim 17 , wherein the behavioral conclusion is a life event for the entity.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 5, 2020
From: HEALY, JODI J.; CANARIO, PAUL G.; DRAWERT, STEVEN T.; BROWN, CHRISTINE M.; GONZALES, ROD; CAMARANO, JOEL; DOHNER, ROBERT K.
To: UNITED SERVICES AUTOMOBILE ASSOCIATION (USAA)
Reel/Frame 054284/0386 →
Continuity (2)
Continuation 14168719 · Jan 30, 2014
Provisional Application 61758414 · Jan 30, 2013
Cited By (1)
US 12,443,999