Summary
This document is a technical report on CalAmp Predictive Maintenance powered by Noregon, which utilizes data-driven insights to enhance fleet maintenance. It outlines how the system helps fleets predict faults before they escalate, thereby preventing breakdowns and reducing maintenance costs while maximizing vehicle uptime. The report describes the continuous monitoring of sensor data from class 4-8 vehicles, providing color-coded health and safety scores that indicate the overall condition of vehicles. It details action plans developed by ASE-Certified technicians, which can decrease workshop time for pre-diagnosed vehicles and enable proactive management of faults. The document also discusses how the predictive maintenance approach can reduce the total cost of ownership by minimizing unnecessary tows and optimizing maintenance procedures. Additionally, it presents features such as customizable alerts, robust reporting dashboards, and the ability to find nearby repair shops, all aimed at improving fleet management efficiency.
