Evolve beyond fault code monitoring with software that analyzes raw sensor data in real-time, using advanced machine learning algorithms to identify issues early and get the right repair done faster.
Improve Technician Efficiency – Preteckt’s root cause and condition-based repair plan provide a good starting point for diagnostics. This helps save time during the diagnostic process.
Improve Employee Experience – Being more proactive about catching issues before they occur and maximizing technician efficiency helps reduce stress and increase engagement in your maintenance shop. Your drivers also benefit from fewer breakdowns on the road.
Reduce Maintenance Costs – Unexpected breakdowns have other costs like towing and rental charges. By acting on Preteckt’s predictions, unexpected breakdowns and their associated costs can be avoided.
Reliable Predictions – Avoid the noise and chaos caused by fault monitoring. With Preteckt’s machine learning algorithms and validation processes, get early detection on issues that is very accurate with low false positives.