Automated vehicle repair estimation by random ensembling of multiple artificial intelligence functions

A non-transitory machine-readable storage medium encoded with instructions executable by a hardware processor of a computing component, the machine-readable storage medium comprising instructions to cause the hardware processor to perform a method comprising:

• receiving a vehicle damage object for a damaged vehicle, wherein the vehicle damage object includes a plurality of metadata objects of the damaged vehicle;
• fragmenting the object into a plurality of vehicle damage object fragments, wherein each vehicle damage object fragment includes at least one of the metadata objects of the damaged vehicle;
• providing each of the vehicle damage object fragments to a respective one of a plurality of artificial intelligence functions by:
• generating random associations between the vehicle damage object fragments and the artificial intelligence functions, and
• providing the vehicle damage object fragments to the artificial intelligence functions according to the generated random associations;
• receiving a respective vehicle repair recommendation set from each of the artificial intelligence functions, wherein each vehicle repair recommendation set is based on a respective one of the vehicle damage object fragments, and wherein each of the vehicle repair recommendation sets identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle;
• selecting a plurality of the recommended vehicle repair operations;
• generating a composite vehicle repair recommendation set that identifies the selected recommended vehicle repair operations;
• and
• providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

A method comprising:

• receiving a vehicle damage object for a damaged vehicle, wherein the vehicle damage object includes a plurality of metadata objects of the damaged vehicle;
• fragmenting the object into a plurality of vehicle damage object fragments, wherein each vehicle damage object fragment includes at least one of the metadata objects of the damaged vehicle;
• providing each of the vehicle damage object fragments to a respective one of a plurality of artificial intelligence functions by:
• generating random associations between the vehicle damage object fragments and the artificial intelligence functions, and
• providing the vehicle damage object fragments to the artificial intelligence functions according to the generated random associations;
• receiving a respective vehicle repair recommendation set from each of the artificial intelligence functions, wherein each vehicle repair recommendation set is based on a respective one of the vehicle damage object fragments, and wherein each of the vehicle repair recommendation sets identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle;
• selecting a plurality of the recommended vehicle repair operations;
• generating a composite vehicle repair recommendation set that identifies the selected recommended vehicle repair operations;
• and
• providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.