Softing envisions secure, reliable predictive maintenance

Modern heavy-duty vehicles, such as trucks and buses but also forestry and agricultural machines or construction equipment, are packed with E/E components that support self-diagnostic functions and increase the quality of maintenance, service, and repair processes. In service workshops, “right the first try” reduces expensive downtime and saves a lot of money.

This objective is supported by a process that captures the already generated in-vehicle data and sends it to a cloud server for analysis and the creation of vehicle- and/or fleet-specific predictive maintenance sequences. The sequences support the service technician in the predictive maintenance process.