The challenge
What needed to change
Fleet operators needed more than maps: they wanted fuel savings, reliable ETAs, and a mobile experience drivers would actually use.
Case study
Built a logistics SaaS platform: real-time traffic integration, multi-stop optimisation ML, driver mobile app, dispatcher dashboard, and predictive maintenance alerts using vehicle telemetry data.
Key metrics
28%
Fuel cost reduction
300+
Fleet operators
24 wks
Full platform
The challenge
Fleet operators needed more than maps: they wanted fuel savings, reliable ETAs, and a mobile experience drivers would actually use.
Our approach
We shipped a logistics SaaS stack — traffic-aware route ML, dispatcher dashboards, a driver app, and predictive maintenance signals from telemetry — on PostgreSQL and AWS.
Results
28% average fuel cost reduction reported by operators, 300+ fleets onboarded, and a twenty-four-week full-platform delivery.
NEXT PROJECT
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