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The effective and smooth integration of AI applications across vessel and shore operations is the most transformative element of smart shippingHow are digitalisation and AI currently influencing your fleet's competitiveness in terms of freight rates, operating costs, and ESG performance?Capabilities for improving fleet competitiveness have evolved progressively from limited data availability to largescale data collection and are now moving toward the early phase of AI-assisted utilisation.Digitalisation in shipping has become both operationally and financially feasible and has already delivered measurable gains by leveraging the growing availability of data. Automated data acquisition, digital platforms, and large-scale data-driven process visualisation have improved operational control and shifted the focus from manual data gathering to deeper data evaluation and more datadriven actions.Using a simple example, digitalisation directly supports operating costs by enabling continuous measurement and tracking of fuel consumption, as well as the early detection of deviations that trigger data-driven actions. The same logic applies to emissions, as effort is no longer concentrated on collecting environmental data but on continuously and reliably tracking emissions drift, supporting exposure forecasting, and strengthening the vessel%u2019s overall ESG performance.When such performance data are also transparent, properly documented, unbiased, and reliably shared, fleet competitiveness is further supported. This structured approach to data management strengthens the owner%u2019s credibility in commercial discussions with charterers and, indirectly, supports freight rates.Among other things, AI constitutes the next stage in large-scale data utilisation, aiming to boost a vessel%u2019s competitiveness. The scale and frequency of data now exceed what humans can efficiently Opinions expressed byIasonas Zacharioudakis, Operational Technology & Energy Manager at Latsco Marine Management Inc.Iasonas Zacharioudakis views AI as the next phase in shipping%u2019s digital transformation, emphasising that data analytics and predictive modelling offer substantial potential to enhance overall vessel operational performance.Smart shipping172 NX