A complete fleet intelligence platform with real-time GPS tracking, AI-powered route optimisation, and automated dispatch that transformed enterprise logistics operations.
A major petroleum carrier operating over 4,000 trucks across India had one defining problem: they had no idea where their vehicles were at any given moment.
The operations manager described their situation directly: 'We were running a ₹200Cr business on phone calls.' Dispatchers called drivers one by one to get status updates. Route planning was based on experience and guesswork. Invoices were handwritten. When a driver didn't answer, the shipment was late — and nobody knew why until the customer complained.
Rodion designed and built the complete digital brain for their operation — real-time GPS tracking, automated dispatch, AI route optimisation, driver mobile apps, web dashboards, and document scanning — all integrated into one platform built on React, React Native, Node.js, and PostgreSQL.
Within six months of launch: on-time delivery improved from 68% to 94%. Fuel costs dropped by 20%. The dispatch team went from making 200+ daily phone calls to managing everything from a single screen. The client now has a platform that scales with their growth.
The client operated a large logistics fleet with no real-time tracking, manual paper-based dispatch, and no driver accountability system. Deliveries were late, fuel costs were uncontrolled, and customer complaints were rising.
The dispatcher's only tool was a phone — calling drivers individually to get status updates. There was no route planning, no live ETA, and no data to optimise operations.
We built a cross-platform fleet management system: a web dashboard for operations managers, a React Native driver app, and a live-tracking API that feeds the command centre with real-time data.
The AI routing engine continuously optimises paths based on traffic, load weight, fuel consumption, and delivery windows — reducing empty miles and cutting fuel spend significantly.
Dispatchers can now see the live position, speed, status, and ETA of every vehicle in the fleet from a single dashboard.
AI route optimisation eliminated unnecessary detours, reduced average delivery time, and improved on-time delivery rates from 68% to 94%.
Optimised routing combined with driver behaviour monitoring (harsh braking, idling, speeding) delivered measurable fuel savings month-on-month.
Automated daily reports on driver performance, delivery completion rates, and fuel consumption — enabling data-driven management decisions.
Tell us your fleet size and key challenges. We'll design the right logistics intelligence system for your operation.
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