Abstract: Systems and apparatuses include one or more processing circuits comprising one or more memory devices configured to store instructions thereon that cause one or more processors to: receive electronic field performance analytics (eFPA) information related to a component of the vehicle; receive vehicle information including operating conditions and historical vehicle information of the vehicle; receive fleet information including fleet usage and fleet vehicle types of the fleet of vehicles; develop a prognostic model using a machine learning engine that receives the eFPA information, the vehicle information, and the fleet information; determine a failure probability using the prognostic model; compare the failure probability to a predetermined threshold; determine a remaining life of the component when the failure probability is equal to or greater than the threshold; and generate a report identifying the component and the remaining life.