A Company that owns thousands of vehicle has a business goal to reduce vehicle downtime by 40% with predictive model to enable preventive maintenance versus costly emergency repairs. This challenge requires ingesting real-time vehicle sensor data analyzed with multiple historical repair data records using machine learning algorithms to predict a failure before it happens. Then the system must correlate vehicle location to service depots with parts availability, directing drivers to complete the preventive repair in route versus a roadside repair.