Patent ID: 9747611
Date: 2017-08-29
CPC Classifications: G06F,G06Q

Claim:
1. A computer-implemented system, comprising: at least one processor; a non-transitory memory; and instructions stored on the non-transitory memory, wherein the instructions when executed by the at least one processor cause the at least one processor to: retrieve, over a network, individual consumer data about a consumer interested in acquiring a vehicle, the individual consumer data indicative of at least one of (i) present or future needs of the consumer and (ii) historical behavior of the consumer, wherein the individual consumer data is retrieved from an interview being electronically administered to the consumer using a computing device accessible by the consumer; retrieve dealer management system (DMS) data from a DMS of an automotive dealership, the DMS data indicative of transactional data relating to a plurality of automotive commodities being finance or insurance (F&I) products or services associated with the vehicle of interest; retrieve, from the DMS, group consumer data 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, the group consumer data indicative of at least one of (i) past needs of the other consumers and (ii) historical behavior of the other consumers; utilize one or more application programming interfaces (APIs) to acquire, over a network, consumer resource data from an online consumer resource provided on a website hosted by a web server, the one or more APIs being utilized to provide accessibility to various datasets provided by the consumer resource relating to at least one of the automotive commodities and the vehicle of interest; retrieve, from the DMS, deal data indicative of transactional terms relating to at least one of (i) current acquisition of the vehicle of interest by the consumer, and (ii) past acquisition of the vehicle of interest or vehicles similar to the vehicle of interest by other consumers; predicatively analyze the individual consumer data, DMS data, group consumer data, consumer resource data, and deal data by utilizing a computer-implemented algorithm executed by the at least one processor and being configured to compute a weight for each of the consumer data, DMS data, group consumer data, consumer resource data, and deal data, combine the computed weights, and output a predictive score based on the combined weights; compute a probability of selling at least one of the automotive commodities to the consumer based on the outputted predictive score resulting from predictive analysis of the individual consumer data, DMS data, group consumer data, consumer resource data, and deal data; generate a visual indicator that is displayable on a display of a computing device accessible by personnel of the automotive dealership, wherein the visual indicator relates to the computed probability of selling the at least one of the automotive commodities; and output an electronic presentation for the consumer being displayable on a display of a computing device accessible by the consumer and being customized for the consumer by having integrated into the presentation at least portions of the individual consumer data and suggestions for purchasing the at least one automotive commodity for which probability of selling was computed.