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HomeCase StudiesAI-Powered Fleet Dispatch & Route Optimizer
Logistics

AI-Powered Fleet Dispatch & Route Optimizer

Client Portfolio: SwiftCargo Logistics
ARCHITECTURE SCHEMATIC B02
22%Fuel Cost Reductions
80%Dispatcher Automation
98.4%On-Time Deliveries

The Challenge

SwiftCargo had dispatchers manually planning delivery stops for 120 regional trucks, leading to high fuel consumption, delayed shipments, and an inability to adapt to real-time traffic conditions.

The Solution

We designed a WebSocket-enabled dispatch panel. The backend runs a route optimization model that calculates stops in real-time, taking truck capacities and road closures into account. Drivers receive turn-by-turn adjustments via an offline-capable web companion app.

The Results

Fleet driving distance was reduced by 22% in the first quarter of deployment. Customer support calls regarding delivery updates decreased by 35% thanks to real-time SMS tracking pages.

Technology Stack Used

ReactTypeScriptWebSocketAWS LambdaPostgreSQLGoogle Maps APITailwind CSS
Production GradeLighthouse Passed
More Work

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