Abstract: Provided are systems, methods, and software for determining a probability of selling to a consumer an automotive commodity associated with a vehicle of interest to the consumer. The software retrieves individual consumer data indicating at least one of present or future needs of the consumer, historical behavior of the consumer, and demographics of the consumer. The software retrieves dealer management system (DMS) data indicating transactional data relating to automotive commodities associated with the vehicle. Deal data indicating transactional terms relating to at least one of current acquisition of the vehicle of interest by the consumer, and past acquisition of the vehicle of interest or vehicles similar to the vehicle of interest by other consumers, is retrieved. The software predicatively analyzes the individual consumer data, DMS data, and deal data and computes a probability of selling at least one of the automotive commodities to the consumer based on the predictive analysis.

Abstract: Provided are computer-implemented techniques for determining a probability of selling an (F&I) automotive commodity associated with a vehicle of interest to a consumer. Individual consumer data about the consumer interested in acquiring a vehicle is retrieved using an electronic interview. Dealer management system (DMS) data is retrieved and includes transactional data relating to automotive commodities. Group consumer data is retrieved about other consumers who have previously purchased the vehicle of interest, vehicles similar to the vehicle of interest, or automotive commodities associated with the vehicle of interest. Consumer resource data is retrieved from an online consumer resource. Deal data indicative of transactional terms is retrieved. The techniques predicatively analyze the retrieved data and compute a probability of selling at least one of the automotive commodities to the consumer based on predictive analysis.

Abstract: Provided are computer-implemented techniques for determining a probability of selling an (F&I) automotive commodity associated with a vehicle of interest to a consumer. Individual consumer data about the consumer interested in acquiring a vehicle is retrieved using an electronic interview. Dealer management system (DMS) data is retrieved and includes transactional data relating to automotive commodities. Group consumer data is retrieved about other consumers who have previously purchased the vehicle of interest, vehicles similar to the vehicle of interest, or automotive commodities associated with the vehicle of interest. Consumer resource data is retrieved from an online consumer resource. Deal data indicative of transactional terms is retrieved. The techniques predicatively analyze the retrieved data and compute a probability of selling at least one of the automotive commodities to the consumer based on predictive analysis.

Abstract: Provided are systems, methods, and software for determining a probability of selling to a consumer an automotive commodity associated with a vehicle of interest to the consumer. The software retrieves individual consumer data indicating at least one of present or future needs of the consumer, historical behavior of the consumer, and demographics of the consumer. The software retrieves dealer management system (DMS) data indicating transactional data relating to automotive commodities associated with the vehicle. Deal data indicating transactional terms relating to at least one of current acquisition of the vehicle of interest by the consumer, and past acquisition of the vehicle of interest or vehicles similar to the vehicle of interest by other consumers, is retrieved. The software predicatively analyzes the individual consumer data, DMS data, and deal data and computes a probability of selling at least one of the automotive commodities to the consumer based on the predictive analysis.