Enterprise Fleet SaaS
Case File
FleetManagement.
Enterprise fleet platform with real-time tracking, predictive maintenance, and intelligent route optimisation. 500+ vehicles tracked live, 35% cost reduction across operations.
What they came with.
Fleet operators were managing hundreds of vehicles through spreadsheets and voice notes. When something broke, they only found out when the driver stopped responding.
They needed a live dashboard that surfaced anomalies before they became incidents — without drowning dispatchers in 500 concurrent alerts.
- —No live visibility into fleet status
- —Maintenance reactive, never predictive
- —Route planning driven by habit, not data
- —Driver safety data unused
What I shipped.
A comprehensive platform that delivers actionable insights in real time. Tuned for dispatchers watching 20 feeds at once — clear signal, minimal noise, and a design system that makes anomalies impossible to miss.
Real-time tracking
Live telemetry for every vehicle — GPS, fuel, speed, DTCs — surfaced in a glanceable dashboard that updates without refresh.
Predictive maintenance
ML model flags vehicles at risk of breakdown based on telemetry patterns. Maintenance scheduled proactively, not reactively.
Route optimisation
Routes computed from real traffic + fuel + driver data. Dispatchers get suggested adjustments, not mandates.
Design system for dense data
Sentinel-like severity scale, status tokens, and component library built specifically for operator dashboards under pressure.
The work.
Live map + telemetry
Fleet control dashboard
Mobile dispatcher app
Analytics & dynamic pricing
Vehicle tracking interface
What shipped.
— Up next