This study seeks to evaluate the influence of artificial intelligence on the enhancement of logistics supply chains in air significant by investigating the contributions of automation,
blockchain, machine learning, and cloud computing to operational efficiency, inventory management, demand forecasting, and risk management.
The research used a descriptive analytical methodology, using both primary and secondary data. Statistical analytic techniques were used to evaluate the impact of artificial intelligence on logistics supply chains in Sector air significant. The research focused on experts within the sector air significant sector, including airline operators, logistics managers, and scholars in artificial intelligence and logistics.
The findings indicated a significant effect of artificial intelligence on the enhancement of logistics supply chains, with automation markedly increasing operational efficiency, blockchain optimizing inventory management, machine learning facilitating demand forecasting, and cloud computing bolstering risk management. The research advocates for investment in artificial intelligence technology, the implementation of ongoing training programs for staff, and the promotion of inter-company cooperation to exchange expertise on AI applications.