A real-time fleet management platform combining GPS telemetry, route optimisation and driver performance scoring into one live operations view.
Representative engagement — anonymised and illustrative. It describes the kind of problem we solve and the platform we build, not client-confidential performance data.
A transportation company managing 400+ vehicles across 3 regions had no centralized visibility into fleet operations. Drivers used paper logs, dispatchers relied on phone calls, and route planning was manual. Fuel costs were climbing year after year with no way to identify inefficiencies.
We built a real-time fleet management platform with GPS tracking via IoT devices, ML-powered route optimization, automated driver performance scoring, and a live operations dashboard. The system ingests telemetry data from vehicles via MQTT and processes it in near-real-time.
Live GPS visibility replaces paper logs and phone-call dispatching
ML-assisted route optimisation accounts for traffic and delivery windows
Driver performance scoring makes coaching objective instead of anecdotal
Near-real-time telemetry processing flags unauthorised vehicle use
Design and build of an AI-assisted claims processing platform that replaces a decade-old manual workflow with digital intake, automated data extraction and rule-based routing.
Product strategy, architecture and delivery of a multi-tenant property-management SaaS — taking a founding team from vision to a production platform with secure rent payments.
