Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: A method and computing apparatus for determining comprehensive vehicle information using an intelligent Vehicle Identification Number (“VIN”) decoder process is described. The method and computing apparatus obtains OEM marketing data, OEM engineering data, parts catalog data, uses a machine learning algorithm to determine relational dependencies between the obtained OEM data and standard comprehensive vehicle configuration data to generate complete vehicle data using VIN.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods are provided for automating the process of cataloging repair documents published by Original Equipment Manufacturers (OEMs). The method determines a corresponding service repair vehicle for the OEM vehicle associated with eh repair documents. Further, the OEM repair instructions are associated with the one or more vehicle parts of a service repair vehicle identified in a repair estimate record. The method of cataloging repair procedures from various OEMs utilizes standardized naming conventions a database structure for uploading individual documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods of allocating execution loads to execution components are disclosed. The systems and methods select one of the execution components and one of the execution loads based on selection criteria. The systems and methods then determine whether the selected execution load may be allocated to the selected execution component. If the selected execution load may be allocated to the selected execution component, the systems and methods allocate the execution load accordingly. If the selected execution load may not be allocated to the selected execution component, the systems and methods select another one of the execution components and another one of the execution loads for attempted allocation.

Abstract: Methods and systems for performing the methods are disclosed. The methods include splitting a large execution load/execution component link generation job, into a number of smaller execution load/execution component link generation jobs, and conditionally subsplitting one or more of the smaller execution load/execution component link generation jobs. The methods also include solving each of the smaller execution load/execution component link generation jobs to generate links between data packets corresponding with execution loads of each smaller execution load/execution component link generation job and data packets corresponding with execution components of each smaller execution load/execution component link generation job.

Abstract: Methods and systems for performing the methods are disclosed. The methods include splitting a large execution load/execution component link generation job, into a number of smaller execution load/execution component link generation jobs, and conditionally subsplitting one or more of the smaller execution load/execution component link generation jobs. The methods also include solving each of the smaller execution load/execution component link generation jobs to generate links between data packets corresponding with execution loads of each smaller execution load/execution component link generation job and data packets corresponding with execution components of each smaller execution load/execution component link generation job.

Abstract: Systems and methods of allocating execution loads to execution components are disclosed. The systems and methods select one of the execution components and one of the execution loads based on selection criteria. The systems and methods then determine whether the selected execution load may be allocated to the selected execution component. If the selected execution load may be allocated to the selected execution component, the systems and methods allocate the execution load accordingly. If the selected execution load may not be allocated to the selected execution component, the systems and methods select another one of the execution components and another one of the execution loads for attempted allocation.

Abstract: A method of dividing a large task allocation problem is disclosed. The large task allocation problem includes a plurality of tasks and servicers. The method includes calculating an overall metric of the large task allocation problem, based at least in part on the quantity of tasks and quantity of servicers of the large task allocation problem. The method also includes dividing the large task allocation problem into a plurality of smaller task allocation problems. Each of the smaller task allocation problems includes tasks and servicers where each particular smaller task allocation problem has a problem metric calculated based at least in part on the quantity of tasks and the quantity of servicers of the particular smaller task allocation problem. The difference between the problem metric of each of the smaller task allocation problems and the overall metric of the large task allocation problem is less than a metric threshold.

Abstract: Systems and methods of allocating tasks to servicers are disclosed. The systems and methods select one of the servicers and one of the tasks based on selection criteria. The systems and methods then determine whether the selected task may be allocated to the selected servicer. If the selected task may be allocated to the selected servicer, the systems and methods allocate the task accordingly. If the selected task may not be allocated to the selected servicer, the systems and methods select another one of the servicers and another one of the tasks.