Coal Transporter Risk Profiling — 9-Parameter Trip Scoring India

Most Indian coal plants manage transporter risk through intuition and incident reports. By then, the loss has already happened.

Transporter risk profiling replaces intuition with data — scoring every trip across 9 parameters before the vehicle arrives.

The 9-Parameter Risk Model

The composite score is issued to the plant before the vehicle arrives.

From Trip Scoring to Transporter Ranking

Trip scores aggregate into transporter performance metrics:

Average risk score per transporter (rolling 30/90-day)

Pilferage incident rate — trips where activity sensing flagged unauthorised unloading

Red zone halt frequency

On-time delivery rate

Phone-off incidents per transporter fleet

This creates a data-driven vendor scorecard for contract negotiations, volume allocation, and blacklisting decisions.

Special Sampling: Focused on Actual Risk

Before risk profiling: all delayed trucks sent for special sampling — wasting resources on innocent delays.

With risk scoring: delayed trucks in safe congestion zones are de-prioritised. On-time trucks with high activity sensing scores are flagged. Risk resources focus on actual risk.

Blacklist Management

Blacklisted entries trigger 100% risk automatically. Enhanced monitoring flags vehicles for analyst review on every trip. Both can be managed at plant level or shared across the Intugine customer network.

Feedback Loop

When a high-risk truck is sampled and a deviation is confirmed, this feeds back into the model — improving parameter weighting for the specific supply corridor. Within 6 months, the model is calibrated to the plant's actual risk patterns.