Artificial intelligence is no longer a futuristic vision, but a real tool for transforming ports and shipping. The world’s largest ports and global maritime operators are already using AI-based solutions to optimize ship arrivals, manage traffic, plan terminal operations, predict breakdowns, and reduce fuel consumption. However, its importance should not be overemphasized, the expert argues.

By using AI, ports become more efficient, reduce operating costs, shorten vessel turnaround times, and reduce CO₂ emissions. Importantly, these solutions are already in place, delivering tangible results. One of the leaders in AI implementation is the Port of Rotterdam, which uses the Pronto platform to predict actual vessel arrival times. The system analyzes AIS data, weather conditions, and operational information, then automatically updates schedules for pilots, tugboats, and terminals. This reduces vessel waiting times by up to 20 percent, improving infrastructure utilization and reducing emissions.

The Port of Hamburg is developing similar solutions, where the HVCC (Hamburg Vessel Coordination Center) system uses artificial intelligence to dynamically manage vessel traffic. Analysis of quay load, weather conditions, and terminal schedules allows for optimal port entry windows. This results in shorter vessel queues and better utilization of quays and port resources.

AI is being used on an even larger scale at the Port of Singapore, where PSA has implemented intelligent planning systems for container yards and crane operations. Algorithms determine the distribution of containers within the terminal to reduce unnecessary transshipment. This increases terminal throughput, shortens vessel turnaround times, and improves port logistics. At the Port of Antwerp-Bruges, the APICA system is responsible for optimizing the entire ship arrival process—from port entry, through pilot and tug assignment, to terminal handling. AI analyzes resource availability and the current operational situation, allowing for shorter vessel turnaround times and better utilization of port infrastructure. At the Port of Los Angeles, the Port Optimizer platform analyzes data from containers, terminals, rail, and road transport to predict bottlenecks and better plan cargo flows. This helps reduce congestion and improve the smoothness of logistics operations at one of the world’s largest ports. AI also supports infrastructure maintenance. Solutions such as ABB Ability Predictive Maintenance analyze data from cranes, motors, and hydraulic systems, predicting failures before they occur. This reduces equipment downtime, improves reliability, and lowers service costs.