Data analysis and artificial intelligence in the marine sector /

Abstract

This paper investigates the revolutionary influence of data analysis and artificial intelligence (AI) in the maritime sector, with a focus on cargo handling, ship route planning, and fuel efficiency optimisation. By integrating modern data analytics, cargo operations may be monitored and managed in real-time, which improves safety measures, decreases operational delays, and increases inventory management accuracy. AI-driven algorithms optimise ship route planning by analysing large datasets such as weather patterns and marine traffic, reducing travel time and operational expenses. Furthermore, predictive analytics and machine learning models are used to improve fuel efficiency by optimising engine performance and detecting maintenance issues before they cause costly downtime. This paper conducts a thorough analysis of these technologies' uses, assessing their influence on operational efficiency, cost savings, and environmental sustainability. The paper emphasises the crucial role of data analysis and AI in revolutionising old marine processes, eventually propelling the industry towards a more efficient and ecologically conscious future, through a series of case studies.