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