Applying artificial intelligence technologies in the field of international shipping

Abstract

This thesis examined the use of artificial intelligence in international shipping. The aim of the study was to explore how artificial intelligence can improve the efficiency of shipping companies business processes in the areas of route optimization, cargo flow management and demand forecasting. The study also examined the main advantages and challenges associated with the introduction of artificial intelligence in marine operations. The dissertation was carried out in the form of scientific research using qualitative methodology and secondary data analysis. The data consisted of scientific articles, industry reports and institutional publications related to artificial intelligence, digital transformation and maritime logistics. The selected sources were analysed thematically to identify key application areas and assess their impact on operational efficiency. The results showed that AI improves route planning, improves cargo visibility and coordination and improves demand forecasting accuracy. The analysis also showed that AI can contribute to lower costs, more efficient decisionmaking and more sustainable operation although challenges related to data quality, system integration and organizational readiness remain.

The study concludes that artificial intelligence is an important tool for improving the efficiency of international transportation, but its successful use depends on both technological capabilities and organizational readiness.