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.