AI-Powered Yard Management for Global Logistics Operations

Savvycom partnered with a global logistics provider to improve yard operations as container volumes increased across multiple locations. The project focused on introducing an AI-powered management system to enhance operational visibility, accuracy, and efficiency within large-scale container yards. 

The client is a global logistics provider operating high-volume container yards in Vietnam and international markets. Their daily operations involve managing hundreds of container movements, requiring reliable tracking, fast retrieval, and consistent operational control to support complex logistics activities. 

As yard operations expanded, the client faced limited real-time visibility into container locations and movements. Heavy reliance on manual records led to inconsistencies, operational delays, and container misplacement, while the absence of tracking for internal movements reduced traceability and increased operational pressure on yard teams. 

An AI-powered Yard Management System was designed and implemented to digitalize and automate key yard processes. The solution combines visual recognition, continuous tracking, and centralized operational views, enabling logistics teams to monitor container movements accurately, validate container placement, and manage yard activities more efficiently at scale. 

By implementing an AI-powered container tracking solution, the system achieved 95% accuracy in container placement and movement tracking while reducing search and retrieval time by 60%. Improved visibility across yard operations cut manual errors and misplacement, driving a 35–40% increase in overall operational productivity.

Cloud Platform: Microsoft Azure 

AI Stack: YOLO-v7, Paddle OCR 

Tools & Infrastructure: Python, OpenCV, TensorFlow, REST APIs