This study examined how the internet of things, artificial intelligence, and automation have affected Nigerian supply chain logistics efficiency. A cross-sectional survey, nomothetic research philosophy, and quantitative methods were applied. Twelve Nigerian Shipping Council-member foreign shipping firms were studied. The study’s sample size was determined using the census sampling approach, which involves drawing from the whole population. The unit of study was Nigerian international shipping firm managers. A standardized questionnaire was given to respondents to collect data. Multiple Regression Analysis using SPSS version 23.0 yielded positive results. Discriminant validity (AVE) and Cronbach Alpha revealed internal consistency and validity. The research found that IoT, AI, and automation improved logistical efficiency in Nigeria’s supply chain business, saving time and money. The findings demonstrated that the internet of things, AI, and automation had improved logistics in Nigeria’s supply chain. The research concluded that the Nigerian supply chain sector would benefit from implementing AI, automation, and the internet of things into their business analysis processes. By doing so, they could take advantage of the machine’s personalized recommendations, which would lead to better logistics efficiency and better decisions overall.

Keyword: Internet of Things, Artificial Intelligence, Automation, Logistics Efficiency, Cost Efficiency, Time Efficiency.