All workFrame — / —
The short version
An AI-powered fleet management and route optimization platform with real-time GPS tracking, predictive maintenance, and automated dispatch for logistics companies.
Outcome
−32%
Fuel costs
SC 01
The brief
RouteMaster operated a fleet of 2,000+ vehicles and needed to reduce fuel costs, improve delivery times, and provide real-time visibility to their enterprise clients.
SC 02
What we did
- 01Built an ML-powered route optimization engine that processes real-time traffic, weather and historical data
- 02Paired it with a mobile app for drivers
- 03Added a customer-facing tracking portal
SC 03
Design → code
The cover frame on the left. On the right, the same project written down the way an engineer would keep it: who it was for, how long it took, the team, the stack and the numbers.
Cover / Desktop
RouteMaster
1440 × 900
case-studies/routemaster-logistics.tsTS
123456789101112131415161718
StackReactGoPythonGoogle MapsPostgreSQLKafkaAWS
SC 04
The result
What changed for RouteMaster Logistics, in four numbers.
Take 1
−32%
Fuel Costs
Take 2
97%
On-Time Delivery
Take 3
+45%
Route Efficiency
Take 4
−60%
Vehicle Downtime
More frames
The clientRe: Fleet intelligence
The route optimization alone paid for the entire project within 3 months. Malkano's AI team is exceptional.
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