METHODS FOR PREDICTIVE ESTIMATION OF REPAIR LINES BASED ON HISTORICAL DATA AND DEVICES THEREOF
A method, non-transitory computer readable medium and apparatus for providing predictive estimates of repair lines includes receives vehicle damage data including a plurality of images, videos, and vehicle diagnostic data. One or more damages are identified based on the received vehicle damage data. One or more repair parts data and labor data are determined for the identified one or more damages based on historical repair parts data and historical labor data. The determined one or more repair parts data and the labor data is provided via a graphical user interface.
1 . A method for providing predictive estimates of repair lines, the method comprising:
receiving, by a valuation management computing apparatus, vehicle damage data comprising images, videos, and vehicle diagnostic data;
identifying, by the valuation management computing apparatus, one or more defects based on the received vehicle damage data by analyzing the received images and videos;
determining, by the valuation management computing apparatus, one or more repair parts data and labor data for the identified one or more damages based on historical repair parts data and historical labor data;
providing, by the valuation management computing apparatus, the determined one or more repair parts data and the labor data.
2 . The method as set forth in claim 1 further comprising, identifying, by the valuation management computing apparatus, vendor data for one or more vendors for the determined one or more repair parts data based on one or more vendor rules.
3 . The method as set forth in claim 1 wherein at least one of the identified one or more defects is not visible in the received plurality of images and videos.
4 . The method as set forth in claim 1 further comprising, determining, by the valuation management computing apparatus, an optimal path to obtain the determined one or more repair parts from the identified one or more vendor data.
5 . The method as set forth in claim 1 further comprising, generating, by the valuation management computing apparatus, specific instruction data to fix the identified one or more defects using the determined one or more repair parts.
6 . The method as set forth in claim 1 wherein the graphical user interface is comprises the identified one or more damages, determined one or more repair parts data and the labor data.
7 . A non-transitory computer readable medium having stored thereon instructions for providing predictive estimates of repair lines, comprising executable code, which when executed by at least one processor, cause the processor to:
receive vehicle damage data comprising images, videos, and vehicle diagnostic data;
identify one or more defects based on the received vehicle damage data by analyzing the received images and videos;
determine one or more repair parts data and labor data for the identified one or more damages based on historical repair parts data and historical labor data;
provide the determined one or more repair parts data and the labor data.
8 . The medium as set forth in claim 7 wherein the executable code, when executed by the processor, further causes the processor to identify one or more vendor data for the determined one or more repair parts data based on one or more vendor rules.
9 . The medium as set forth in claim 7 wherein at least one of the identified one or more damages is not visible in the received plurality of images and videos.
10 . The medium as set forth in claim 7 wherein the executable code, when executed by the processor, further causes the processor to determine an optimal path to obtain the determined one or more repair parts from the identified one or more vendor data.
11 . The medium as set forth in claim 7 wherein the executable code, when executed by the processor, further causes the processor to generate specific instruction data to fix the identified one or more damages using the determined one or more repair parts.
12 . The medium as set forth in claim 7 wherein the graphical user interface is generated based on the identified one or more damages, determined one or more repair parts data and the labor data.
13 . A valuation management computing apparatus comprising:
a processor; and
a memory coupled to the processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to:
receive vehicle damage data comprising images, videos, and vehicle diagnostic data;
identify one or more defects based on the received vehicle damage data by analyzing the received images and videos;
determine one or more repair parts data and labor data for the identified one or more damages based on historical repair parts data and historical labor data;
provide the determined one or more repair parts data and the labor data.
14 . The apparatus as set forth in claim 13 wherein the processor is further configured to be capable of executing the stored programmed instructions to identify one or more vendor data for the determined one or more repair parts data based on one or more vendor rules.
15 . The apparatus as set forth in claim 13 wherein at least one of the identified one or more damages is not visible in the received plurality of images and videos.
16 . The apparatus as set forth in claim 13 wherein the processor is further configured to be capable of executing the stored programmed instructions to determine an optimal path to obtain the determined one or more repair parts from the identified one or more vendor data.
17 . The apparatus as set forth in claim 13 wherein the processor is further configured to be capable of executing the stored programmed instructions to generate specific instruction data to fix the identified one or more damages using the determined one or more repair parts.
18 . The apparatus as set forth in claim 13 wherein the graphical user interface is generated based on the identified one or more damages, determined one or more repair parts data and the labor data.