Artificial Intelligence (AI) and Transport and Logistics Management Systems Impacting the Efficiency of Private Transport Business Operations in Thailand

Abstract

           The purpose of this research is to study artificial intelligence (AI) and transport and logistics management systems that affect the efficiency of private sector transport business operations in Thailand. The population used in this study is the executive or operational manager of companies that are members of the Thai Freight and Logistics Association. There were 186 participants. The tool used in the study was a questionnaire. The statistics used in the data analysis were mathematical statistics, consisting of frequency, percentage, mean and standard deviation, and the hypothetical statistics were regression analysis, linear multiples.

          The findings indicate that AI and transport and logistics management systems collectively explain 63.50% of the variance in operational efficiency, with statistical significance at the 0.05 level. Specifically, AI in deep data analysis, intelligent routing, and process automation significantly impacts operational efficiency by enhancing decision accuracy, reducing costs and lead times, and accelerating service delivery. Similarly, effective transport and logistics management systems, encompassing warehouse management, logistics cost management, and supply chain management, also contribute significantly to operational efficiency by minimizing losses, optimizing resource utilization, and fostering sustainable competitiveness for private transport businesses in Thailand.