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Case Study / SwiftShip Logistics

Real-TimeFleetIntelligence&RouteOptimization

Built an AI-driven fleet management system with real-time GPS tracking, predictive maintenance, and dynamic route optimization.

31%Fuel Cost Reduction
+42%Delivery Efficiency
100% real-timeFleet Visibility
$2.4M/yearMaintenance Savings
The Challenge

What Needed Solving

Managing 5,000+ delivery vehicles across 12 countries with no unified tracking, manual dispatch, and 23% fuel waste from inefficient routing.

Our Solution

What We Engineered

We developed a cloud-native platform with IoT device integration, ML-based route optimization, predictive vehicle maintenance, and real-time driver communication.

Impact Summary

By coordinating structured sprint targets, building modular codebases, and deploying state-of-the-art server setups, CoreKod successfully delivered SwiftShip Logistics's roadmap targets on schedule.

Technology Stack

ReactNode.jsPythonIoTPostgreSQLRedisGoogle Maps API

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