Artificial Intelligence in Maritime Operations: A Systematic Review of Smart Shipping, Port Automation, and Decision Support Systems
DOI:
https://doi.org/10.61424/jmbem.v1i1.893Abstract
Artificial Intelligence (AI) is increasingly reshaping maritime operations by enabling intelligent decision-making, enhancing operational efficiency, and supporting the transition toward smart and autonomous shipping systems. This study presents a systematic review of the application of AI in maritime operations, with a specific focus on smart shipping, port automation, and decision support systems. Drawing on a wide range of peer-reviewed literature, industry reports, and case-based evidence, the review synthesizes current developments, key technologies, and implementation outcomes across the maritime value chain. The findings indicate that AI-driven systems such as machine learning algorithms, computer vision, predictive analytics, and autonomous control systems are significantly improving vessel navigation, fuel optimization, predictive maintenance, and cargo handling efficiency. In port operations, AI-enabled automation is streamlining container handling, traffic management, and resource allocation, thereby reducing turnaround times and operational costs. Furthermore, AI-based decision support systems are enhancing situational awareness, risk assessment, and strategic planning for maritime stakeholders. However, the study also identifies persistent challenges, including data interoperability issues, cybersecurity risks, high implementation costs, regulatory uncertainty, and limited digital infrastructure in developing regions. Despite these barriers, the review highlights strong momentum toward AI integration, driven by Industry 4.0 advancements and increasing demand for sustainable and efficient maritime logistics. The study concludes that AI holds transformative potential for maritime operations, but its full benefits can only be realized through improved governance frameworks, standardized data systems, and increased investment in digital capabilities across global shipping and port ecosystems.
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Copyright (c) 2026 Samuel Odupe

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