This workflow directly targets the 8-12% of fuel costs wasted through unnecessary machine idling on construction sites. It automates the detection of non-productive engine run-time by ingesting real-time telemetry from CAN bus and GPS systems, applying rule-based and ML-driven classifiers to distinguish between operational, break, and wasteful idle. The system's business value is immediate: reduced fuel consumption, lower emissions, and quantifiable operator performance data, turning a passive operational leak into a controlled, auditable process integrated with fleet management platforms.




