Optimization of maritime transportation routes using artificial intelligence: analysis of opportunities and challenges

Abstract

In today's globalized world and ever-increasing volumes of international trade, the efficiency of maritime transportation is of paramount importance to the global economy. Given the complexity and multifactorial nature of maritime logistics processes, the use of the latest technologies is becoming an integral part of the industry's development. One of these technologies is artificial intelligence (AI), which opens up new opportunities for optimizing maritime transportation routes, reducing costs and increasing efficiency. The article analyzes the basic principles of AI and its role in modern logistics solutions. Innovative solutions such as machine learning algorithms for forecasting weather conditions, AI-based ship traffic management systems, digital twins for modeling and optimizing routes, and the use of the Internet of Things and big data for real-time analysis and management are considered. In particular, the author analyzes cases of AI application for route improvement, enhanced safety of navigation, and supply chain management. It is emphasized that optimization of maritime transportation routes using AI is a promising area that can increase efficiency, reduce costs and improve safety in the logistics industry. The use of modern AI technologies opens up new opportunities for maritime transportation companies and promotes the development of innovative solutions in the industry.