Shiammala, P N and Durai Mutharasan, N (2025) AI-Powered Fleet Management in the Maritime Industry: Current Trends and Strategic Insights. In: Proceedings of AMET Global Maritime Summit 2025: Sailing Towards Sustainability , Navigating the Future of Maritime Industry.
2025-conf.pdf
Download (387kB)
Abstract
Shipping by sea moves the bulk of the
world’s goods easily over 80%. Yet, actually
managing those fleets comes with more complications
than many realize. Old systems are still being used,
and they often fall short. Things like keeping track of
ships, making sure, they don’t waste fuel, or
preventing breakdowns can get complicated fast.
Lately, AI has started to show up in the industry. It's
not perfect, but it’s helping with things like planning
smarter routes, checking fuel use, spotting problems
early, and even making work onboard safer. The tools
are there, but not many companies are using them yet.
Some just can’t afford them, and others aren’t sure
how to fit AI into what they already have. This paper
looks at how AI is being used now in fleet
management, what the benefits are, and what’s still
holding things back. The idea is to see if AI really has
a place in the future of shipping.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Applications > Artificial Intelligence |
| Domains: | Computer Applications |
| Depositing User: | Mr Sureshkumar A |
| Date Deposited: | 16 Dec 2025 09:33 |
| Last Modified: | 16 Dec 2025 09:33 |
| URI: | https://ir.vistas.ac.in/id/eprint/11539 |


