KUG Systems
Back to Case Studies
Logistics10 months6 engineers

Fleet Management System

Client: Logistics Company

Built an end-to-end fleet management platform tracking 5,000+ vehicles in real-time with route optimization and predictive maintenance.

Key Results

5,000+

Vehicles Tracked

15%

Fuel Cost Reduction

25%

Less Vehicle Downtime

20%

More Deliveries/Day

The Challenge

What they needed

The client operated a large fleet with no unified tracking system. Vehicles were tracked through multiple disconnected systems, making it impossible to optimize routes or predict maintenance needs. Fuel costs were high, and vehicle downtime was unpredictable.

Our Solution

How we helped

We developed a unified fleet management platform integrating GPS tracking, telematics data, and maintenance records. Machine learning models predict maintenance needs, while optimization algorithms reduce fuel consumption and improve delivery times.

Deliverables

What we delivered

Real-time vehicle tracking
Route optimization
Predictive maintenance
Driver behavior analytics
Fuel consumption monitoring
Compliance reporting
Tech Stack

Technologies used

ReactNode.jsPostgreSQLTimescaleDBTensorFlowMapbox
The platform gave us visibility we never had before. We're making data-driven decisions that save millions annually.

COO

Logistics Company

Want similar results?

Let's discuss how we can help you solve your challenges.