AI, Port Community Systems & EMSWe: Building Europe’s Intelligent Maritime Ecosystem

Asia-Pacific carriers command the global air cargo market, holding a significant 35.8 percent to 35.9 percent share in cargo tonne-kilometres (CTKs) as of mid-2026, according to IATA reports. With an annual growth rate of 8.4 per cent, more than double the global average of 3.4 per cent, APAC is solidifying its leadership at the forefront of the industry. This ascent is substantially fuelled by artificial intelligence, which is revolutionising cargo operations.

Today’s air cargo landscape transcends simple weight transportation; it focuses on managing high-value, time-sensitive assets. The repercussions of delays and errors have escalated, imposing significant commercial stakes.

Bridge Data Gap

European ports operate within a complex network of stakeholders, including shipping lines, customs authorities, and freight forwarders. Each of these entities generates valuable data, often fragmented and siloed. For instance, if a Spanish shipping line announces a delayed ETA, this information may not align with logistics in Germany, ultimately causing cross-border delays. A well-integrated Port Community Systems can bridge these data gaps, fostering collaboration and elevating operational efficiency.

The real opportunity is to move beyond connecting individual ports and create an intelligent data layer for the European maritime region. By standardising, validating and contextualising data from PCS, EMSWe and other stakeholder systems, Europe can build a shared, continuously enriched data foundation. AI can then learn from this regional data, identify patterns across borders and turn collective information into predictive, actionable intelligence for ports and supply chains.

The Promise of Europe Maritime Single Window environment

Enter the European Maritime Single Window environment (EMSWe), launched on August 15, 2025. This initiative aims to streamline maritime reporting for EU member states under the "once-only" principle, potentially saving shipping operators between €62 and €72 million annually. A comprehensive application of PCS is essential

Turning AI into Tangible Value with Port Community Systems

With Port Community Systems connecting data across European ports, AI can transform fragmented information into actionable intelligence and tangible benefits, including:

Precise Predictive Port Calls: Enhancing ETA accuracy and reducing wait times at major ports.

Proactive Data Validation: Identifying discrepancies early to mitigate delays.

Congestion Forecasting: Anticipating bottlenecks through shared insights.

Efficient Compliance: Simplifying risk management and regulatory adherence.

Focused Decarbonisation: Coordinating initiatives to minimise emissions.

A Call to Action for Port Leaders

The 2026 EU Ports Strategy clearly articulates the need for digitalisation and interoperable PCS to bolster port competitiveness. European maritime leaders must invest not only in AI technologies but also in the foundational data infrastructure needed to unlock their full potential. The goal is to build a future where efficient, profitable and sustainable maritime operations become the norm across Europe.

Beyond Digitalisation: The Next Maritime Advantage

1. What makes a Port Community System essential for harnessing AI's potential in

Europe’s maritime ecosystem?

In a landscape rich with data from ports, shipping lines, and logistics providers, the effectiveness of AI hinges on the quality and accessibility of that data. A Port Community System acts as the vital connective tissue that unifies this fragmented information, ensuring consistency and context across all stakeholders. This convergence allows AI to transcend isolated insights within individual organisations, revealing trends

and patterns throughout the entire supply chain. For port executives, the strategic advantage lies in transforming shared operational data into predictive intelligence, enabling them to anticipate congestion,

mitigate vessel delays, optimise resources, and enhance cargo flow seamlessly.

2. How can ports effectively integrate AI, PCS, and EMSWe without adding unnecessary

digital complexity?

The goal isn’t to layer on yet another standalone technology but to craft an interoperable digital framework where every system plays a specific role. EMSWe can streamline maritime reporting under the once-only principle, while PCS enhances operational data sharing among the port community. This sets the stage for AI to analyse interconnected data sources and produce actionable insights. The focus should be on embracing APIs, establishing common data standards, ensuring true interoperability, and implementing solid data governance. By doing so, we integrate new technologies into the existing structure, avoiding the pitfalls of creating additional silos.

3. What metrics should European port leaders focus on to evaluate the tangible business

value of AI-driven digitalisation?

The success of AI adoption should be measured through concrete operational and commercial outcomes, not just the number of AI tools in play. Key performance indicators to consider include vessel turnaround time, berth utilisation, cargo dwell time, truck turnaround efficiency, data processing speeds, exception rates, compliance costs, and emissions per cargo movement. It's also crucial to evaluate the quality and timeliness of shared data, as these factors directly influence the effectiveness of AI-driven decision-making. The most compelling business case arises when digitalisation can showcase measurable gains in throughput, resilience, cost efficiency, and sustainability across the entire port ecosystem.