Mitchell International, Inc.

Geengyee Chong

Abhijeet Gulati

John Joseph Rozint

Sathish Venkatesan

Dune Pagaduan

Olivier Baudoux

A new automotive collision repair technology is provided, including system and data flow architectures that are designed to provide enhanced data and enhanced data flow in the context of vehicle diagnosis and repair, particularly when repairs are necessary due to collisions. In some examples, the data flow through the network is streamlined, to avoid network congestion, to use fewer computer and network resources and/or to enable the utilization of smaller databases. In other examples, enhanced access to data in real-time and near real-time enabled by a workflow module supports more accurate and timely decisions on vehicle repair. An advantage of this new automotive collision repair technology is that it enables a determination of relatedness likelihood of individual DTC, which in turn decreases costs and increases savings.

Systems and methods for determining likelihood of incident relatedness for diagnostic trouble codes

Automated vehicle repair estimation by aggregate ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets for a damaged vehicle, wherein each of the vehicle repair recommendation sets identifies at least one recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; aggregating a plurality of the recommended vehicle repair operations; generating a composite vehicle repair recommendation set that identifies the aggregated recommended vehicle repair operations; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Growing community of inventors

San Diego, CA, United States of America

Geengyee Chong