Abstract: Embodiments of a repair correlation system are described, wherein the repair correlation system identifies related vehicle repairs based on key parts (or the most important parts) of an automotive sub-system. The repair correlation system can use a database or other data repository of matching parts to identify related automotive sub-systems (e.g., engine, transmission, etc.) by matching key parts for sub-systems across different brands and models. For example, the repair correlation system can determine that repairs for a first engine with key parts A, B, and C are applicable to a second engine with the same key parts. Thus, an engine in a Honda car and an engine in a Ford car could be identified by the system as having co-applicable repair data based at least partly on the key parts matching, even though the engines are used by different brands and models.

Abstract: Embodiments of a service acceleration system are described, wherein the service acceleration system accelerates messages between a client computing system and a server computing system. For at least some messages over a computing network between the client computing system and the server computing system, the service acceleration system can replace full messages with identifiers. The service acceleration system can then translate the identifiers into full messages before final processing of the messages by the client computing system or server computing system. By sending identifiers instead of full messages, the full messages do not need to be sent over at least part of the computing network. For example, rather than sending multiple data packets (e.g., TCP, IP, UDP, etc.) for the full message, the service acceleration system can send a single data packet having the message identifier over part of the computing network.

Abstract: Systems and methods for customized vehicle inspections are provided. An inspection module is configured to receive data regarding vehicle repairs and repair recommendations from a variety of data sources. From the received data, the inspection module analyzes the repair recommendation and/or repair data indicated in the data received from the data sources in light of factors such as the vehicle repair history and/or driver's driving habits to generate customized inspection checklists for use by repair facilities. These inspection checklists may be further customized, depending on the recipient, for example, consumers, service managers, and technicians, etc), as needed. In this manner, the inspection reports provide improved information which results in better inspections, maintenance decisions, and reporting to consumers.