Valenciaport has developed a software that predicts the number of trucks that will pass through its docks, which terminal they will access and whether they will load or unload the vehicle.
The Artificial Intelligence system combines Valenciaport’s data – both land and seaside – with key information to understand the behaviour of the ship on arrival at the port. According to Valenciaport, they can know days in advance what is going to happen in the Valencian docks both in terms of loading and unloading of ships, as well as the movements that will take place at the terminal gates and the number of truck entries.
The size of the ships, the type of services and routes, the terminal timetables, the weather, the calendars of festivities in third countries (the Chinese New Year or the Feast of the Lamb have a strong influence on port traffic) or a history of world GDP, among other information, have helped to adjust this predictive machine learning model, assisted and supervised by professionals who train the system.
Thus, when Valenciaport enters in this system that a ship is going to arrive at the Port of Valencia on a specific day, it will be able to forecast from that moment on, what workload both import (the unloading that is managed when the ship arrives at the port) and export (the loading that is managed before the ship arrives) is going to involve.
Now we have the opportunity to do much more for our Port Community thanks to predictive data management. We are therefore at a point where we are going to generate a leap in the value, we offer to the port community
… said Alexandre Sánchez, director of PCS Information Systems for the Port Authority of Valencia
Valenciaport also claimed that for shippers, this system will help them to know more accurately the schedules and cargo volumes of ships, being able to efficiently manage their schedules of entry and exit from the port or waiting times.
