Solutions
AI fleet management
Turn vehicle location, dispatch, fuel and vendor dwell time into one live operating picture for a logistics fleet.
What does AI fleet management do beyond GPS tracking?
A live map is the starting point, not the system. MarsLab uses location data to assign the nearest available truck, escalate a stuck vehicle, benchmark fuel on comparable routes and record how long a vendor holds a truck after arrival. The point is to make dispatch, fuel and idle time operationally accountable.
What we build
- 01
Real-time GPS tracking and empty-vehicle visibility
- 02
Proximity dispatch with automatic driver notification
- 03
Stuck-truck escalation for driver and manager follow-up
- 04
Fuel anomaly detection and vendor waiting-time analytics
Documented outcomes
- /600 trucks brought onto one live platform
- /Proximity-based dispatch replaced phone-call guesswork
- /Fuel anomalies and vendor waiting time made visible against live route data
Questions we get asked
Is this not just GPS tracking?
A live map is the starting point, not the system. Location data is used to assign the nearest available truck, escalate a vehicle that has stopped moving, and benchmark fuel against comparable routes.
How does dispatch improve?
Proximity dispatch picks the nearest empty vehicle and notifies the driver automatically, so the decision does not wait on someone reading a map and making a phone call.
Can you measure time lost at a vendor site?
Yes. Waiting-time analytics record how long a vendor holds a truck after arrival, which makes idle time a number someone is accountable for rather than an accepted cost.
What scale does this run at?
The platform built for a pan-India logistics operator put a 600-truck fleet on one live operating picture.
Work with us
We want your hardest problems.
We collaborate with ambitious organisations ready to move beyond AI experimentation. If you're looking to transform how your business operates, we'd love to build with you.