A system, and method facilitate treatment of a damaged vehicle by gathering pre-crash information before the vehicle is damaged in a collision, determining a treatment complexity level before the vehicle collision based upon the pre-crash information, selecting a treatment facility for treating the vehicle, and requesting transport of the damaged vehicle from the crash site to a treatment facility. Auto claim data may be used to train a machine language program to identify or predict vehicles that are prone, or predisposed, to being classified as a “total loss” in the event of a vehicle collisions, such as based upon make, model, age, miles, etc. Vehicle characteristic data for a vehicle involved in a vehicle collision may subsequently be input into the trained machine language program to predict whether the vehicle is a total loss, and if so, total loss processing may be expedited without visual human inspection of the vehicle.
System and Method for Predicting Total Loss of a Vehicle Prior to a Crash