Abstract: Systems and method herein provide for sophisticated and efficient matching between users of a vehicle data system and data on sales that occur, where that data was obtained from distributed sources across a computer network. In particular, embodiments may obtain data from a variety of data sources across a distributed network and enhance data records by correlating the data obtained from these distributed sources. Data on sales thus obtain can be correlated with data on online users of the vehicle data system using a scoring engine to provide confidence scores to potential user-sale matches.

Abstract: Systems and method herein provide for sophisticated and efficient matching between users of a vehicle data system and data on sales that occur, where that data was obtained from distributed sources across a computer network. In particular, embodiments may obtain data from a variety of data sources across a distributed network and enhance data records by correlating the data obtained from these distributed sources. Data on sales thus obtain can be correlated with data on online users of the vehicle data system using a scoring engine to provide confidence scores to potential user-sale matches.

Abstract: Systems and method herein provide for sophisticated and efficient matching between users of a vehicle data system and data on sales that occur, where that data was obtained from distributed sources across a computer network. In particular, embodiments may obtain data from a variety of data sources across a distributed network and enhance data records by correlating the data obtained from these distributed sources. Data on sales thus obtain can be correlated with data on online users of the vehicle data system using a scoring engine to provide confidence scores to potential user-sale matches.

Abstract: A vehicle data system having improved performance is described. In particular, embodiments provide system and methods for vehicle data systems that can both accurately predict marketing trends and presenting those accurate marketing trend predictions in real-time over a computer network. These capabilities, among others, may be accomplished by embodiments of vehicle data systems disclosed herein through the use of a bifurcated architecture by which a significant amount of detailed processing is accomplished in a back-end process, including the gathering and binning of data and the use of such data to determine parameters for models or adjustment components that may be used to accurately forecast market trends for new and used vehicles. In a front-end process, requests for such market trend forecasts for specified vehicles or locations may be received over a network.