This paper systematically discusses the impact of using AI in Oman's logistics sector and examines the opportunities and challenges of using AI in Oman's logistics sector. Besides, it suggests solutions for improving AI use in the logistics sector in Oman. The main objective of this paper is to investigate the impact of using AI in Oman's logistics sector. The specific objectives are to identify the opportunities for using AI in the logistics sector in Oman, identify the issues surrounding using AI in the logistics sector in Oman, and recommend possible solutions to improve the use of AI in the logistics sector in Oman. The study used both primary and secondary data based on mixed methods: quantitative and qualitative. The quantitative approach via a questionnaire tool to collect data from many respondents. The qualitative method has been observed using interviews and web articles to accumulate further information from people's opinions and thoughts. The outcomes indicated some advantages of AI: improving efficiency and reducing the challenges currently facing the logistics sector, diversifying the income sources, and enhancing Oman's economy. Findings revealed that the most significant AI challenges are unemployment, a long time and the high cost for implementation, lack of awareness of AI potentials, and requiring training with new skills. The findings came up with solutions related to educating students, spreading awareness, and training employees. The study has limitations such as insufficient information on the research subject, difficulties finding respondents who have enough experience to answer the questions efficiently, and time constraints.

This paper systematically discusses the impact of using AI in Oman's logistics sector and examines the opportunities and challenges of using AI in Oman's logistics sector. Besides, it suggests solutions for improving AI use in the logistics sector in Oman. The main objective of this paper is to inve...