Trucks running below capacity
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Plan heavy transport around load, cost and driver hours
Model trips before they run: optimise loads, plan driver shifts, and see the toll and fuel cost of a route before you commit to it.
Challenges we solve
Driver hours planned informally
Toll and fuel cost discovered after the trip
What you get
- Load optimization
- Driver shift planning
- Trip modelling before dispatch
- Toll and fuel cost optimization
- Capacity analytics
Operational benefits
- More cargo per trip
- Predictable trip cost
- Compliant driver hours
How it works
1
Model the trip against load and route
2
Compare cost scenarios
3
Dispatch the plan to the driver
What it returns
Adding one properly loaded trip per truck per week compounds quickly across a heavy fleet.
AI capability
Scenario modelling ranks route and load combinations by total cost, not distance.
Compare platforms
Traditional
Load planning by experience, cost discovered on the invoice.
With Amancom
Trip modelled against load, tolls, fuel and driver hours before dispatch.
In practice
A heavy haulage operator compared two corridor options and chose the one that was longer but cheaper after tolls.
Devices for this solution
Teltonika FMB130
CAN-bus data, driver behaviour scoring and internal backup battery.
4G LTECAN busBackup batteryBluetooth
GT06N
The workhorse tracker: live location, engine cut-off, geofence alerts.
2GRelay outputSOSGeofence
S06A
Compact 4G tracker with live positioning and movement alerts.
4GCompactMovement alert
AT4
Magnetic asset tracker with a 10,000 mAh battery, waterproof.
10000 mAhMagnet mountIP67
Connects with
Odoo SalesRoute engineREST API
Included in this solution
Ready to see it on your own operation?
Tell us your fleet size or your systems and we will put a proposal together.