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How OSV owners can use AI to enhance operations, reduce costs
Offshore vessel owners, operators and managers can use artificial intelligence, remote monitoring and optimisation software to reduce operational expenditure, fuel consumption and maintenance costs
Artificial intelligence (AI) and digitalisation will deliver fleet and vessel optimisation and improve ship performance, voyage efficiencies and lower maintenance costs.
AI helps owners improve safety, compliance, manage crews and make faster decisions with the limited resources they have, experts agreed.
The benefits of using AI and digital tools were presented at Riviera’s Annual Offshore Support Journal Conference in London, UK, on 3 February 2026.
At the conference, Digital Ocean chief commercial officer Rémy Ausset said implementing operational AI will not replace people, but will enable the efficient use and processing of data when applied to real workflows and key operations.
"AI is a remarkable tool, and what matters is how this is applied," he said. "AI supports collation, structuring, organising and processing of operational and compliance data."
Dipai chief executive and cofounder André Listou Ellefsen offered cases where AI and digitalisation improve operations and reduce operational expenditure.
He said AI "increases the fuel efficiency of vessels", enabling operators to use fewer engines or gensets to lower consumption and maintenance.
AI supports voyage optimisation and lower transit speeds, and vessel hydrodynamic performance.
Information on vessel performance enables owners to select when and where to drydock for hull and propeller cleaning, and to undertake condition-based maintenance.
Digital foundations and AI applications will lead to smarter OSVs if real-time data is of a good quality.
Opsealog founder and managing director Arnaud Dianoux said OSV owners should take "time to build the right foundations" and invest in satellite communications to ensure vessels have enough bandwidth for data transfers.
He said intelligent OSVs mean "using data to advise crews and analytics on shore to achieve efficiency gains."
It is important to contextualise data and cross-check the results to ensure algorithms deliver value.
User benefits from AI include "constant performance improvements, identifying discrepancies in reporting and sensor issues, fuel efficiency and generating operational efficiencies through insights and recommendations to change behaviour on ships and on shore," said Mr Dianoux.
Other benefits from data processing and collation come from monitoring vessel fuel and bunkering systems. An electronic fuel-monitoring system (EFMS) provides alerts, reports and bunkering information with remote monitoring, enabling speed optimisation and enhanced onboard security.
Ascenz Marorka head of customer success management, Serena Lim, said onshore managers and charterers can use EFMS to monitor fuel consumption and check bunkering, track vessels and visualise any changes or discrepancies to what they expect.
Owners and operators can "know what the bunker volume is versus what it is meant to be," she said, adding they could "identify if there are differences between what the bunker vessel says is transferred and what the receiving vessel loads."
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