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Logistics & Supply Chain

How We Cut Fleet Fuel & Dispatch Costs by 28% Using Agentic AI Route Optimization

28.4%Fuel Cost Reduction
99.1%On-Time Delivery Rate
-45%Dispatcher Ops Hours

The Architectural Challenge

TransGlobal operated 450+ freight vehicles across 12 distribution corridors using a legacy monolithic dispatch application. Dispatchers spent 3 hours per morning manually adjusting routes, resulting in high fuel burns and missed delivery SLA penalties.

The Engineered Solution

We engineered an autonomous route optimization engine powered by multi-agent AI and real-time weather and traffic telemetry. The system dynamically re-optimizes routes while trucks are in transit, issuing automated turn-by-turn adjustments to driver tablets.

System Architecture: Event-driven microservices architecture built with Go and Node.js on AWS EKS. Real-time GPS telemetry ingested via MQTT broker into Apache Kafka and processed through PyTorch route optimization models.

Technologies Deployed

Next.jsGoKafkaPostgreSQLPyTorchAWS EKSRedis
“The team delivered beyond our expectations. The automated route optimization paid for the entire development cost within 4 months of production rollout.”

Marcus Vance

VP of Operations, TransGlobal Freight

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