Method of reducing response time for delivery of vehicle telematics services

• US 8,732,405 B2
• Filed: 12/10/2009
• Issued: 05/20/2014
• Est. Priority Date: 12/10/2009
• Status: Active Grant

• Current Assignee: General Motors LLC (General Motors Company)
• Original Assignee: General Motors LLC (General Motors Company)
• Inventors: Ramamurthy, Kannan, Sidhu, Navjot
• Primary Examiner(s): KROFCHECK, MICHAEL C
• Application Number:
  US12/635,333
• Publication Number:
  US 20110145507A1
• Time in Patent Office: 1,622 Days
• Field of Search: None
• US Class Current: 711/137
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A method of operating a predictive data cache includes receiving a request for telematics service from a telematics service requester, determining the subject matter of the request, querying a predictive data cache to determine if the predictive data cache includes a service response to the subject matter of the request and, if the predictive data cache includes the service response, then providing the service response to the requester and updating the predictive data cache using the subject matter of the request. The subject matter can include one or more of: an event description, an event period, or an event location based on the request.

Claims

1. A method of operating a predictive data cache, the steps comprising:

(a) determining whether a service response to a present request for telematics services is stored at a predictive data cache of a telematics service provider upon receiving the present request from a vehicle telematics unit, wherein the subject matter of the present request includes at least one of an event description, an event period, and an event location;

(b) determining a probability value associated with the present request based on the subject matter of the present request and the subject matter of one or more past requests for telematics services stored in a telematics service provider database;

(c) ranking the present request based on the probability value relative to the probability values of other previously-received requests for telematics services;

(d) identifying a predetermined number of the most-frequently occurring ranked requests for telematics services; and

(e) updating the predictive data cache with the subject matter of the present request and the associated service response to the present request when the ranking of the present request is one of the most-frequently occurring ranked requests.

2. The method of claim 1, wherein the subject matter of the request further includes a priority value associated with the request.

3. The method of claim 1, wherein each request stored in the predictive data cache includes a priority value.

4. The method of claim 1, further comprising storing the subject matter of the present request in a telematics service provider database.

5. The method of claim 1, wherein the event description further comprises a name of a public or private social gathering.

6. The method of claim 1, wherein step (e) further comprises adding to or subtracting from the predictive cache at least one request or service response based on the ranking associated with the request.

7. The method of claim 1, further comprising calculating the probability value using a Poisson model.

8. A method of operating a predictive data cache, the steps comprising:

(a) receiving a present request for telematics service at a call center from a vehicle telematics unit that identifies the location of the telematics unit;

(b) determining an event based on the present request for telematics service;

(c) determining, based on the event, at least one of a time or a date associated with the event;

(d) determining if the present request for telematics service, the event, or the at least one of a time or a date exists in a predictive data cache and if so, then;

(i) accessing a service response based on the present request for telematics service, wherein the service response is stored in the predictive data cache; and

(ii) delivering the service response to the telematics unit;

(e) storing the present request for telematics service, the event, and the at least one of a time or a date with previously-stored requests for telematics service, events, and times or dates in a database associated with the call center;

(f) determining a probability value associated with the present request based on the subject matter of the present request and the subject matter of one or more past requests for telematics services stored in a telematics service provider database; and

(g) ranking the present request based on the probability value relative to the probability values of other previously-received requests for telematics services;

(h) identifying a predetermined number of the most-frequently occurring ranked requests for telematics services; and

(i) updating the predictive data cache with the subject matter of the present request and the associated service response to the present request when the ranking of the present request is one of the most-frequently occurring ranked requests.

9. The method of claim 8, wherein the request further comprises a priority value associated with the request.

10. The method of claim 8, wherein each request stored in the predictive data cache includes a priority value.

11. The method of claim 8, wherein step (f) uses a Poisson model.

12. The method of claim 8, wherein the database is located at the call center.

13. The method of claim 8, wherein the database is located remotely from the call center.