Parts recommendation and procurement system and method

1. A computer-implemented method for recommending a part for a vehicle comprising:

recommending via a computing device, an aftermarket part based on a detected fault condition of a vehicle, a current operating condition of the vehicle, wherein the detected fault condition is stored in a memory of the vehicle, and wherein the computing device executes the following steps via the network, comprising:

receiving from a diagnostic interface device, vehicle data comprising a vehicle identification number (VIN) for a vehicle and a diagnostic code for the vehicle, wherein the diagnostic code associated with the detected fault condition is retrieved by the diagnostic interface device running a diagnostic application and connecting to an on-board vehicle diagnostic system to retrieve the vehicle data;

searching via a network, a diagnostic code database for maintenance information based on the diagnostic code;

querying a parts database comprising parts data characterizing a plurality of parts compatible with a plurality of vehicles, wherein the parts data is provided from a plurality of data sources, and wherein the parts data comprises original equipment manufacturer (OEM) parts data and aftermarket parts data;

wherein querying the parts database comprises identifying a subset of parts of the plurality of parts compatible with the vehicle by evaluating the detected fault condition and the VIN;

recommending at least one aftermarket part from the subset of parts compatible with the vehicle based on the detected fault condition, the current operating condition, the maintenance information and a weighting factor associated with the at least one recommended aftermarket part;

modifying a part recommendation rule set in response to the at least one recommended aftermarket part from the subset of parts compatible with the vehicle;

adjusting the weighting factor associated with the at least one recommended aftermarket part from the subset of parts compatible with the vehicle based on the modified part recommendation rule set;

transmitting a subsequent recommendation of the at least one part from the subset of parts compatible with the detected fault condition and the vehicle based on the adjusted weighting factor after a subsequent query of the parts database;

requesting or procuring through the network, the at least one recommended aftermarket part to accomplish needed repairs in the vehicle; and

sending after the needed repair, a reset signal through the diagnostic interface device to reset on-board vehicle electronic computer systems firmware to reset the detected fault.

2. The computer-implemented method of claim 1 , wherein the attributes of the vehicle comprise one of a year of the vehicle, a make of the vehicle, a model of the vehicle, a residual value of the vehicle, a mileage of the vehicle, a condition of the vehicle, and a combination thereof.

3. The computer-implemented method of claim 1 , wherein the attributes of the recommended aftermarket part comprise a cost of the recommended part, a quality of the recommended aftermarket part, a function of the recommended aftermarket part, and a combination thereof.

4. The computer-implemented method of claim 1 , further comprising sorting one of the plurality of parts, the subset of parts compatible with the vehicle, and a combination thereof, based on one or more sorting factors.

5. The computer-implemented method of claim 4 , wherein the one or more sorting factors comprise one of an age of the vehicle, a condition of vehicle, an anticipated service life of the vehicle, and a combination thereof.

6. The computer-implemented method of claim 1 , further comprising receiving a selection of a selected part corresponding to the at least one recommended part, wherein the weighting factor is adjusted to deemphasize remaining parts of the subset of parts compatible with the vehicle that are not selected relative to the at least one recommended aftermarket part for the subsequent recommendation.

7. The computer-implemented method of claim 1 , further comprising receiving a selection of a selected part corresponding to the at least one recommended aftermarket part, wherein the weighting factor is adjusted to emphasize the at least one recommended aftermarket part relative to remaining parts of the subset of parts compatible with the vehicle for the subsequent recommendation.

8. The computer-implemented method of claim 1 , comprising:

receiving login credentials associated with a user;

filtering the plurality of parts, the subset of parts compatible with the vehicle, or both, based on stored preferences associated with the user; and

wherein the stored preferences comprise one of a manufacturer preference, a distributor preference, a price category, a purchase history, and a combination thereof.

9. The computer-implemented method of claim 1 , wherein the vehicle identification information comprises one of a year of the vehicle, a make of the vehicle, a model of the vehicle, an origination point of the vehicle, and a combination thereof.

10. The computer-implemented method of claim 1 , wherein the recommending the at least one aftermarket part from the subset of parts compatible with the vehicle is further based on one of a warranty status for the vehicle, age of the vehicle, a physical condition of the vehicle, a budget of a person associated with the vehicle, and a combination thereof.

11. The computer-implemented method of claim 1 , further comprising:

processing a part order based on the at least one recommended part; and

generating part order data indicating a procurement of the at least one recommended part; and

wherein modifying the part recommendation rule set based on the at least one recommended aftermarket part from the subset of parts compatible with the vehicle comprises one of:

emphasizing the at least one recommended aftermarket part from the subset of parts relative to remaining parts from the subset of parts compatible with the vehicle based on the part order data for the subsequent recommendation; and

and deemphasizing the at least one recommended aftermarket part from the subset of parts relative to the remaining parts from the subset of parts compatible with the vehicle for the subsequent aftermarket recommendation.

12. The computer-implemented method of claim 11 , wherein adjusting the weighting factor associated with the at least one recommended aftermarket part from the subset of parts compatible with the vehicle based on the modified rule set comprises one of increasing the weighting factor associated with the at least one recommended aftermarket part for the subsequent recommendation, if the at least one recommended part is emphasized, and, decreasing the weighting factor associated with the at least one recommended aftermarket part for the subsequent recommendation, if the at least one recommended aftermarket part is deemphasized.

13. The computer-implemented method of claim 12 , wherein the part recommendation rule set is further modified based on recommendation trend data associated with the subset of parts compatible with the vehicle.

14. The computer-implemented method of claim 12 , wherein the recommendation of the least one aftermarket part of the subset of parts compatible with the vehicle is further based on an estimated labor time and an associated maintenance cost for the vehicle.

15. The computer-implemented method of claim 1 , further comprising:

processing a part order based on the at least one recommended aftermarket part; and

facilitating delivery of the at least one recommended aftermarket part in response to processing the part order.

16. The computer-implemented method of claim 1 , further comprising:

interfacing a diagnostic interface device with an on-board diagnostic system of the vehicle; and

receiving, at the diagnostic interface device, the vehicle data, wherein the vehicle data is generated at least part by the on-board diagnostic system of the vehicle.

17. The computer-implemented method of claim 1 , further comprising:

searching content of a plurality of webpages for the recommended aftermarket part based on search criteria; and

retrieving information for the recommend aftermarket part based on a result of the search.

18. The computer-implemented method of claim 17 , wherein the plurality of webpages comprises one of webpages associated with OEMs, webpages associated with distributors, webpages associated with wholesalers, web pages associated with third party providers, and a combination thereof.

19. A system for recommending and procuring a part comprising:

a diagnostic interface device configured to interface with an on-board diagnostic system of a vehicle and configured to receive vehicle data, wherein the vehicle data is generated at least in-part by the on-board diagnostic system; and

a computing device comprising a memory to store machine readable instructions and one or more processors to access the memory and execute the machine readable instructions to:

receive a diagnostic code for a vehicle, wherein the diagnostic code associates with a detected fault condition of a vehicle to the aftermarket parts,

wherein the vehicle data comprises a vehicle identification number (VIN) for the vehicle;

search via a network, a diagnostic code database for maintenance information based on the diagnostic code;

query a parts database comprising parts data characterizing a plurality of parts compatible with a plurality of vehicles, wherein the parts data is provided from a plurality of data sources, and wherein the parts data comprises original equipment manufacturer (OEM) parts data and aftermarket parts data;

wherein the query comprises identifying a subset of parts of the plurality of parts compatible with the vehicle by comparing the detected fault condition and the VIN for the vehicle relative to vehicle identification information associated with the parts data;

recommend at least one aftermarket part from the subset of parts compatible with the vehicle based on the detected fault condition, the current operating condition, the maintenance information and a weighting factor associated with the at least one recommended aftermarket part;

modify a part recommendation rule set in response to the at least one recommended aftermarket part from the subset of parts compatible with the vehicle;

adjust the weighting factor associated with the at least one recommended aftermarket part from the subset of parts compatible with the vehicle based on the modified part recommendation rule set;

transmit a subsequent recommendation of the at least one part from the subset of parts compatible with the detected fault condition and the vehicle based on the adjusted weighting factor after a subsequent query of the parts database;

request or procure a part order through the network, based on the at least one recommended aftermarket part to accomplish needed repairs in the vehicle; and

send after the needed repair, a reset signal through the diagnostic interface device to reset on-board vehicle electronic computer systems firmware to reset the detected fault.

20. The system of claim 19 , wherein the diagnostic interface device interfaces with the on-board diagnostic system of the vehicle based on a given protocol.