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Smart Ports and AI: How Intelligent Terminals Are Transforming Global Trade

Ports are becoming increasingly digital, connected and data driven as operators look for new ways to improve efficiency, manage complexity and strengthen resilience across global supply chains. Artificial intelligence is emerging as an important part of this transformation, working alongside automation, the Internet of Things, digital platforms and advanced data analytics to support faster and more informed decisions. 

The shift is significant because ports sit at the centre of international trade. UN Trade and Development estimates that around 80% of global merchandise trade is transported by sea at some point in its journey, placing ports in a critical position within international supply chains. 

As trade flows become more complex and disruptions continue to affect maritime networks, the ability of ports to process information and respond quickly is becoming increasingly important. 

 From Automated Terminals to Intelligent Ports 

Automation is already an established part of modern terminal operations. Automated equipment, digital systems and integrated control platforms can support activities such as container handling, yard management and vessel operations. The next stage is the increasing use of AI to analyse the large volumes of data generated across these operations. 

Data from vessels, terminal equipment, weather systems, traffic movements and cargo operations can be combined to provide a more comprehensive view of what is happening across the port. This creates opportunities for AI to support operational planning, identify emerging bottlenecks and help teams make decisions based on real-time or near-real-time information. 

The objective is not simply to automate individual tasks, but to improve coordination across the wider port ecosystem. UN Trade and Development has identified digitalisation, automation and data-driven systems as important tools for improving port efficiency, transparency and resilience. It has also highlighted the importance of interoperability and cybersecurity as ports become more digitally connected. 

AI and Smarter Port Operations 

One of the most practical applications of AI is operational planning. The Port of Rotterdam Authority, for example, has developed an AI-supported fairway traffic planning tool that uses AIS data, vessel visit information, restrictions and weather data to predict vessel arrival and departure times. 

The system provides planning support to the Harbour Master, while information sharing with terminals can help stakeholders anticipate factors such as berth, quay and crane availability. This illustrates an important characteristic of AI in ports. Rather than operating independently of human decision-makers, AI can process multiple data sources and provide insights that support operational teams. 

The same principle can be applied across other areas of terminal management. Predictive analytics can help identify equipment issues before they develop into operational disruptions. 

Data-driven planning can support better allocation of resources. AI-assisted forecasting can help ports anticipate changes in vessel movements and cargo flows. 

Digital Twins and Connected Port Infrastructure 

AI becomes more powerful when it is connected to reliable digital infrastructure. Digital twins can create digital representations of physical assets, infrastructure or operational processes. Combined with IoT sensors and data analytics, they can provide port operators with a continuously updated picture of assets and operations. 

This can support planning, maintenance and investment decisions by allowing operators to analyse operational conditions and assess potential scenarios before implementing changes in the physical environment. The International Association of Ports and Harbors' cyber resilience guidance, published through the IMO, also highlights the growing role of AI, IoT and digital twins in creating more connected port ecosystems. 

These technologies can provide real-time insights for operational and strategic decision-making, while also creating new requirements for data governance and cybersecurity. 

 Improving Visibility Across the Supply Chain 

A smart port cannot operate in isolation. Shipping lines, terminal operators, port authorities, customs agencies, freight forwarders, logistics providers and cargo owners all depend on information moving efficiently between different parts of the supply chain. 

Digital platforms and port community systems can help improve information exchange and visibility between these stakeholders. UN Trade and Development has noted that digital systems such as maritime single windows and port community systems are helping some countries reduce costs and delays, while also emphasising the need for further digitalisation and automation.  

AI can build on this digital foundation by analysing information from multiple sources and identifying patterns that may not be immediately visible to individual operators. This can help turn large quantities of operational data into actionable intelligence. For global trade, the potential benefit is greater coordination. 

Better information can help stakeholders respond more quickly when vessel schedules change, infrastructure becomes constrained or disruptions emerge elsewhere in the logistics chain. 

Smart Ports and Sustainability 

Digitalisation is also becoming closely connected with the environmental transition taking place across maritime transport. Ports are major energy users and are under increasing pressure to improve efficiency and reduce emissions. UN Trade and Development has identified the digital transition as an important component of future-ready ports, noting that digital technologies can improve operational capacity, help address environmental risks and enable faster and more accurate decision-making. 

 AI can support these objectives by analysing energy consumption, equipment utilisation, vessel movements and other operational data. Such analysis can help identify opportunities to optimise resource use and improve operational efficiency. At the terminal level, intelligent systems can also support better coordination of equipment and vessel movements. 

Reducing unnecessary movements and improving planning can contribute to more efficient operations, although the actual environmental benefit will depend on the technology deployed, operating conditions and how effectively the system is integrated into existing processes.

The Cybersecurity Challenge 

Greater connectivity also creates greater exposure to digital risks. As ports integrate more operational technology, cloud platforms, IoT devices and data-sharing systems, cybersecurity becomes an essential part of smart-port development. A disruption to digital infrastructure can affect cargo handling, vessel coordination and the wider movement of goods. 

UNCTAD's 2025 Review of Maritime Transport identifies cyberattacks as a growing threat to maritime trade and notes that digital infrastructure needs to be protected as ports increasingly rely on data sharing and connected systems. This means cybersecurity cannot be treated as a separate consideration after new technology has been introduced. 

It needs to be incorporated into the design, implementation and governance of smart-port systems from the outset. 

Building the Intelligent Port of the Future 

The development of smart ports is ultimately about connecting technology, infrastructure, data and people. AI can help ports process information faster, identify operational patterns and support more informed decisions. Automation can improve the consistency and efficiency of physical operations. Digital twins and IoT systems can provide greater visibility into infrastructure and assets. 

Digital platforms can connect stakeholders across the supply chain. But technology alone does not create an intelligent port. Successful implementation also requires interoperable systems, reliable data, cybersecurity, skilled personnel and clear governance. The direction of travel is already visible across major ports. 

Abu Dhabi Ports, for example, states that its ports and terminals use advanced technology and automation as part of their operational capabilities. The Port of Rotterdam is also applying AI and data sharing to improve vessel planning and coordination. 

 As global trade becomes increasingly dependent on resilient and responsive logistics networks, the smart port is evolving from a concept into an operational model. The next phase will be defined not simply by how much technology a port deploys, but by how effectively it connects that technology to people, infrastructure and the wider supply chain. 

For maritime and logistics leaders, the central question is therefore moving from whether ports should become smarter to how AI and digital technologies can be implemented responsibly, securely and at scale.