A vehicle transaction support system operates by: generating, based on customer prequalification data and extended bureau data and utilizing a customer grading engine having a first artificial intelligence model trained via machine learning, a customer grade that predicts a likelihood of transaction default associated with a customer; generating, based on customer profile data that includes the customer grade and other customer profile data and utilizing a vehicle recommendation engine having a second artificial intelligence model trained via machine learning, vehicle options data that indicates vehicles selected from a vehicle database; and generating, based on at least a portion of the customer profile data and the vehicle options data and utilizing a transaction recommendation engine having a third artificial intelligence model trained via machine learning, terms data associated with each of the vehicles selected from the vehicle database.