Datadriven Air Freight Boosts Crossborder Efficiency
This paper delves into optimizing global air freight lead time through a data-driven approach. It emphasizes building a closed-loop management system of 'Predict-Intervene-Review', analyzing fundamental, fluctuating, and hidden variables impacting air freight efficiency, and proposing corresponding strategies. By leveraging accurate forecasting, end-to-end intervention, and continuous iterative review, businesses can effectively enhance the controllability of air freight lead time, mitigate delay risks, and ultimately strengthen their competitiveness within the global supply chain.









