Real-time monitoring and advanced forecasting

This service provides real-time ship delay status for each port and congestion forecasts up to one week in advance. When you select your destination port on a dedicated website, the number of delayed ships and waiting days will be displayed in real-time. You can also check whether the delay situation is increasing or easing by comparing it with the situation over the past month. Congestion prediction displays the number of ships per day

up to one week in advance using numbers and graphs in an easy-to-understand manner. Differences from the real- time number of delayed vessels are also displayed, which can be used as reference information to estimate the delay situation.

Expanded coverage and future enhancements

In addition to major ports, this service will begin providing forecasts at ports where droughts, heavy rains, and floods have caused port closures and large-scale delays in the past, such as ports in Brazil and around the Panama Canal. “We plan to expand the prediction area according to the needs of customers. By using the “Berth Waiting Forecast” and adjusting the ship’s speed and destination, it is expected that the operation plan will be optimized, fuel efficiency will be achieved, and CO2 emissions will be reduced”. said Keemoon Kwon, Head of Global Sales & Marketing, Sea Planning Group

Innovative prediction models and continuous improvement

We have developed a unique prediction model by combining data from approximately 70,000 ships and weather data. Moreover, we are actively working on the development of new technologies that utilize business data related to ships. For instance, the “Berth Waiting Forecast” service displays real-time ship delay status by combining Automatic Ship Identification System (AIS) and data from each port’s berth area. In addition, for congestion prediction, we use a unique AI analysis model that analyzes AIS data from approximately 70,000 ships and learns the ships that are stranded in the berthing area of each port, the congestion situation at that time, and weather information, Kwon added.

Commitment to continuous innovation

In the future, improvements are planned to enhance the accuracy of congestion prediction by considering the weather risks of each ship on the voyage, predicting the estimated arrival time, and incorporating this into the prediction model. Development will continue with unique technologies and new services that integrate ship business data and weather information, aiming to ensure the safety and optimize the business of various companies involved in maritime transportation.