ANALYZING AUTOMOTIVE INSPECTIONS

• US 20150178662A1
• Filed: 05/28/2014
• Published: 06/25/2015
• Est. Priority Date: 05/28/2014
• Status: Abandoned Application

• Current Assignee: Scott Osborn
• Original Assignee: Scott Osborn
• Inventors: Osborn, Scott
• Application Number:
  US14/289,039
• Publication Number:
  US 20150178662A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

For analyzing automotive inspections, a recording module records a plurality of inspection results. Each inspection result comprises a technician identifier and an inspection item recommendation for each of a plurality of inspection items. Each inspection item comprises a target recommendation. The inspection item recommendation comprises one of a no service required recommendation and a service recommendation. An identification module identifies a recommendation bias in response to a function of first inspection item recommendations for a first inspection item of the plurality of inspection results exceeding a first target recommendation for the first inspection item.

Claims

1. A method for analyzing automotive inspections comprising:

recording, by use of a processor, a plurality of inspection results, wherein each inspection result comprises a technician identifier and an inspection item recommendation for each of a plurality of inspection items, each inspection item comprises a target recommendation, and the inspection item recommendation comprises one of a no service required recommendation and a service recommendation; and

identifying a recommendation bias in response to a function of first inspection item recommendations for a first inspection item of the plurality of inspection results exceeding a first target recommendation for the first inspection item.

2. The method of claim 1, wherein the target recommendation comprises a target recommendation upper bound and a target recommendation lower bound and the recommendation bias is identified for the function of the first inspection item recommendations exceeding at least one of the target recommendation upper bound and the target recommendation lower bound.

3. The method of claim 2, wherein the target recommendation upper bound and the target recommendation lower bound comprise a guard band.

4. The method of claim 1, wherein each inspection result further comprises an auto year and an auto mileage and the target recommendations are a function of the auto year and the auto mileage.

5. The method of claim 1, wherein the target recommendations are modified by an auto year and an auto mileage.

6. The method of claim 1, wherein the target recommendations are set by an administrator.

7. The method of claim 1, wherein the target recommendations are a function of the inspection item recommendations.

8. The method of claim 7, wherein the target recommendations are a function of the inspection item recommendations for one or more technicians and one or more of service locations.

9. The method of claim 1, wherein each inspection result further comprises a region and the target recommendations are a function of inspection item recommendations for a specified region.

10. The method of claim 1, the method further comprising:

determining a target assignment distribution; and

identifying an assignment bias in response to a function of technician assignments for the first inspection item exceeding a first target assignment for the first inspection item.

11. The method of claim 10, wherein the first target assignment is set by an administrator.

12. The method of claim 1, wherein each inspection result further comprises a recommendation sale that indicates a sale of the service recommendation.

13. The method of claim 12, the method further comprising:

comparing the service recommendations to the recommendation sales; and

identifying a sales bias in response to a ratio of service recommendations to recommendation sales being less than a sales target.

14. The method of claim 13, further comprising generating a report comprising the sales bias.

15. The method of claim 1, wherein the plurality of inspection results are recorded from a portable computer.

16. The method of claim 1, further comprising retrieving auto information comprising a customer name, a customer address, a license number, a vehicle identification number, the auto year, an auto make, an auto model, recent service, and reporting data.

17. The method of claim 1, further comprising generating a report comprising the identification bias.

18. The method of claim 1, wherein the recommendation bias is identified for a set selected from the group consisting of technicians, locations, regions, and operators.

19. An apparatus comprising:

a non-tangible computer readable storage medium storing program code that is executable by a processor, the program code comprising;

a recording module that records a plurality of inspection results, wherein each inspection result comprises a technician identifier and an inspection item recommendation for each of a plurality of inspection items, each inspection item comprises a target recommendation, and the inspection item recommendation comprises one of a no service required recommendation and a service recommendation; and

an identification module that identifies a recommendation bias in response to a function of first inspection item recommendations for a first inspection item of the plurality of inspection results exceeding a first target recommendation for the first inspection item.

20. A program product comprising a non-tangible computer readable storage medium storing program code executable by a processor, the program code:

recording a plurality of inspection results, wherein each inspection result comprises a technician identifier and an inspection item recommendation for each of a plurality of inspection items, each inspection item comprises a target recommendation, and the inspection item recommendation comprises one of a no service required recommendation and a service recommendation; and

identifying a recommendation bias in response to a function of first inspection item recommendations for a first inspection item of the plurality of inspection results exceeding a first target recommendation for the first inspection item.