Ride analytics: every delivery trip, measured

What ride analytics does

• Logs each trip automatically: start, end, distance, duration and route.
• Attaches the trip to a vehicle, a courier and a hub.
• Compares couriers and hubs over the same period instead of anecdotally.
• Shows week-on-week change so a drop is caught while it still matters.
• Feeds mileage into service intervals and cost per vehicle.

How it works

1. Step 1

   Telemetry arrives

   Position and movement data from the vehicle's IoT unit streams in continuously.

2. Step 2

   Trips are reconstructed

   Movement is segmented into trips with start, end, distance and duration.

3. Step 3

   Ownership is attached

   Each trip is tied to the vehicle and the courier holding it during that shift.

4. Step 4

   Aggregates are built

   Trips roll up per courier, hub, fleet and country using the group tree.

5. Step 5

   You compare

   Filter by week, hub or courier, and export the underlying trips for your own analysis.

Who uses it

Data you get out

• Trip-level export: vehicle, courier, hub, distance, duration and timestamps.
• Weekly utilisation and mileage per vehicle and per hub.
• Route history behind any incident or zone exit.
• API access for delivery platforms and BI tools.

Related modules

Control Tower shows what is happening now, ride analytics shows what happened, and BI dashboards turn both into cost per vehicle. Zone Guard exits link straight into the trip that caused them.