SYSTEM, METHOD, AND SOFTWARE FOR PREDICTING THE LIKELIHOOD OF SELLING AUTOMOTIVE COMMODITIES

摘要

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.

主权项

1. A 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 processor cause the processor to: retrieve 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, (ii) historical behavior of the consumer, and (iii) demographics of the consumer; retrieve dealer management system (DMS) data from a DMS, the DMS data indicative of transactional data relating to a plurality of automotive commodities associated with the vehicle of interest; retrieve 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 at least the individual consumer data, the DMS data, and the deal data; and compute a probability of selling at least one of the automotive commodities to the consumer based on predictive analysis of at least the individual consumer data, the DMS data, and the deal data.