AI-Powered Yard Management for Global Logistics Operations
AI-Powered Yard Management for Global Logistics Operations
- 95%Placement & tracking accuracy
- 60%Faster search & retrieval
- 35–40%Higher operational productivity
Project Overview
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.
About The Client
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.
Challenges
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.
Solutions
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.
Results
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.
Technical Overview
Cloud Platform: Microsoft Azure
AI Stack: YOLO-v7, Paddle OCR
Tools & Infrastructure: Python, OpenCV, TensorFlow, REST APIs
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