Towards AI-Driven Transport and Logistics

Artificial intelligence (AI) has witnessed widespread adoption across various organizational domains, including transport & logistics, wherein its applications range from driver assistance to parcel sorting and inventory planning to many more. The paper systematically elucidates the landscape of the usage of AI in these domains and seeks to investigate and analyze its opportunities and challenges. It focuses on assessing the importance and significance of the utilization of intelligent and autonomous transport as well as cleaner transport modalities. The methodology employed in this report is grounded in exploratory and descriptive analysis, focusing predominantly on a thorough examination of existing literature, empirical scientific research publications, and prior and ongoing AI initiatives. The results thus meticulously present the various facets of the existing challenges and opportunities faced by organizations, activities, and individuals in the adoption of AI technology and systems in the Transport and logistics sectors.