Ai implementation in dry ports: challenges and barriers faced

Abstract

The application of Artificial Intelligence (AI) in dry ports creates a unique opportunity for improving operational productivity, increasing value, reducing expenditure, and even improving AI-assisted decision making. Nevertheless, there are challenges that hamper its use. This essay seeks to identify and analyze the most crucial barriers hindering the application of AI technologies in dry port operations. With the use of a questionnaire involving 73 participants from dry port and logistics services, data was based on 25 factors (identified through a 5-point Likert scale). In the beginning, Principal Component Analysis (PCA) was used on the respondent’s data to uncover major underlying patterns within the data. Along with the numerous barriers outlined in the paper, some prominent ones remain such as the lack of technical know-how, obsolescent infrastructure, vague regulatory rameworks, and most importantly, immense financial burdens are some of the most important barriers. These results assist stakeholders to effectively plan suitable designated plans to facilitate efficient AI algorithms into operational dry ports.