Eco scores that quantify waste
A per-vehicle eco score computed from real driving: excessive speed, aggressive acceleration, and harsh braking — the exact behaviors that burn energy, chew brakes, and eat tires. The data layer for ESG and cost-per-km programs.
The problems we remove
Sustainability reporting without numbers
ESG commitments need per-fleet, per-driver efficiency data. Fuel/energy waste from aggressive driving is invisible without measurement.
Measured, not modeled
The eco score is computed from the vehicle's own speed and acceleration samples — not estimated from trip length. Harsh events carry timestamps and locations, so waste is attributable.
Coaching without targets
"Drive smoother" isn't actionable. Drivers need to know which specific behavior costs them, and managers need to see who improved.
Component-level attribution
Braking, acceleration, and speeding scores sit alongside eco — coaching targets the actual weak dimension, and the 30-day series shows whether it moved.
Cost-per-km blind spots
Aggressive driving inflates energy use, brake wear, and tire wear — but fleet cost models rarely capture driver-level variance.
Efficiency per driver
Eco score per vehicle per day, aggregated distance-weighted, comparable across the fleet — the input for driver-level cost attribution.
What you can build on day one
Eco score series
Daily eco scores for any window, plus a distance-weighted aggregate — exposed at /api/v1/vehicles/{vin}/scores.
Harsh-event attribution
Every harsh accel/brake event with speed, severity, and GPS (when consented) — tie the waste to the road and the moment.
Fleet eco view
Per-vehicle eco scores in the fleet console's safety leaderboard and detail pages, with 30-day sparkbar trends.
Energy per km
Charging kWh and driving distance per vehicle — compute real energy efficiency, not manufacturer figures.
Put a number on driving efficiency
Eco scoring is live on every consented vehicle. Pull the series through one endpoint and make efficiency a managed metric.