SMART INSPECTIONS

• US 20080208609A1
• Filed: 01/25/2008
• Published: 08/28/2008
• Est. Priority Date: 01/26/2007
• Status: Abandoned Application

• Current Assignee: Service Repair Solutions (Solera Holdings Incorporated)
• Original Assignee: Service Repair Solutions (Solera Holdings Incorporated)
• Inventors: Daley, Marcus, Zobrist, Nate, Preece, Dave
• Application Number:
  US12/020,347
• Publication Number:
  US 20080208609A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

Systems and methods for customized vehicle inspections are provided. An inspection module is configured to receive data regarding vehicle repairs and repair recommendations from a variety of data sources. From the received data, the inspection module analyzes the repair recommendation and/or repair data indicated in the data received from the data sources in light of factors such as the vehicle repair history and/or driver'"'"'s driving habits to generate customized inspection checklists for use by repair facilities. These inspection checklists may be further customized, depending on the recipient, for example, consumers, service managers, and technicians, etc), as needed. In this manner, the inspection reports provide improved information which results in better inspections, maintenance decisions, and reporting to consumers.

Claims

1. A computerized method of generating a customized inspection checklist for a particular vehicle, the method comprising:

determining one or more of a year, make, and model, of a particular vehicle presented at an inspection facility for inspection;

locating inspection data for a plurality of similar vehicles each having one or more of a year, make, and model the same as the determined year, make, and model of the particular vehicle, wherein the inspection data comprises a plurality of inspection tasks and corresponding inspection results for the similar vehicles;

locating one or more inspection tasks of the inspection data for which a predetermined portion of the inspection results associated with the similar vehicles indicate that one or more repairs or further inspection should be performed on the respective similar vehicles; and

generating a customized inspection checklist including the located inspection tasks.

2. The method of claim 1, wherein the customized inspection checklist comprises only the located inspection tasks.

3. The method of claim 1, wherein the similar vehicles were each in the same mileage range when their respective inspection results were records as a current mileage range of the particular vehicle.

4. The method of claim 1, wherein the similar vehicles are each the same sub-model as the particular vehicle.

5. The method of claim 1, wherein the similar vehicles each have a common accessory package as the particular vehicle.

6. The method of claim 1, wherein the similar vehicles were each purchased in a common date range as the particular vehicle.

7. The method of claim 1, further comprising:

determining one or more attributes of a driver of the particular vehicle;

determining a driver profile associated with the one or more attributes, wherein each of a plurality of driver profiles is associated with respective inspection tasks;

locating one or more inspection tasks associated with the determined driver profile; and

including the located inspection tasks on the generated customized inspection checklist.

8. The method of claim 7, wherein the driver attributes comprise indications of one or more of a profession, driving style, use of the vehicle, geographical region where the vehicle is operated, and the climate of the geographical region where the vehicle is operated.

9. The method of claim 1, further comprising:

determining one or more attributes associated with historical inspections or repairs of the particular vehicle;

analyzing the historical attributes in order to determine one or more inspection tasks for the particular vehicle; and

appending the determined inspection tasks to the customized inspection checklist.

10. The method of claim 1, further comprising analyzing vehicle-related data from one or more of consumers, technicians, government agencies, and independent test laboratories, in order to determine one or more additional inspection tasks to be included in the customized inspection checklist.

11. The method of claim 1, wherein the similar vehicles have one or more of a common make, model, year, sub-model, engine specifications, and accessory package as the particular vehicle.

12. A method of determining inspection tasks for inclusion in an inspection checklist for a particular vehicle, the method comprising:

accessing a data structure comprising indications of a plurality of inspection tasks and associations between respective inspection tasks and respective combinations of one or more of a year, make, and a model of a vehicle; and

selecting a first plurality of inspection tasks that are associated with a particular vehicle in the data structure.

13. The method of claim 12, wherein certain of the inspection tasks are included in the data structures in response to determining that a repair associated with respective of the certain inspection tasks is common for the vehicles having the same year, make, and/or model.

14. The method of claim 12, further comprising accessing repair data indicating one or more repairs and/or repair recommendations for the particular vehicle and, in response to analyzing the repair data, performing one or more of:

selecting one or more additional inspection tasks for inclusion in the inspection checklist for the particular vehicle; and

removing one or more selected inspection tasks from the inspection checklist for the particular vehicle.

15. A system for generating an inspection form for use by an automotive technician, the system comprising:

a computing device configured to receive attributes associated with a particular vehicle;

a server in data communication with the computing device, the server storing information regarding repairs that have previously been made to vehicles similar to the particular vehicle, wherein the server provides an indication of those repairs that have been made on similar vehicles at least a threshold number of times and the computing device generates the inspection form comprising inspection recommendations that correspond with the repairs indicated by the server.

16. The system of claim 15, wherein the server stores information regarding repair recommendations that have previously been made to vehicles similar to the particular vehicle, wherein the server provides an indication of those repair recommendations that have been made on similar vehicles at least a threshold number of times and the inspection form generated by the computing device comprises inspection recommendations that correspond with the repair recommendations indicated by the server.

17. The system of claim 15, wherein the computing device comprises a portable computing device that is operated by an automotive technician.

18. The system of claim 15, wherein the threshold number of times is determined based on a percentage of similar vehicles for which repair data is stored by the server.