Port of Antwerp-Bruges optimizes shipping with a data-driven strategy
The automatic identification system (AIS) generated vast volumes of data, but its potential was untapped due to storage limitations and a lack of structured use cases. This created challenges in identifying bottlenecks, peak times, and other operational inefficiencies.
To boost efficiency and safety, the port aimed to unify data, predict delays, and enhance infrastructure and traffic management.
Becoming the Port of analytics optimizing vessel traffic
Port of Antwerp aims to leverage data for real-time vessel tracking and shipping optimization, focusing on analytics-driven insights with the requirements listed below:

Real-time analytics transform shipping traffic and operations
To address these challenges, the Port of Antwerp-Bruges partnered with Orange Business to implement a data-driven strategy. The collaboration involved:
- Workshops and Testing: Orange Business conducted data labs and pilot projects to assess the feasibility of analytics use cases, starting with visualizing berth occupation.
- Technological Architecture: A robust, scalable architecture leveraging Microsoft Azure, open-source tools, and technologies like Python and Spark was implemented.
- Knowledge Transfer and Co-Creation: Intensive collaboration ensured that the port’s team could continue leveraging and expanding the data framework independently.