The Disruptive Impact of Generative AI on Smart Logistics Center Planning and Forecasting Systems: A Theoretical Framework Proposal

Purpose : This study examines the disruptive influence of Generative Artificial Intelligence (Generative AI)on planning and forecasting systems in smart logistics centers, proposing the Disruptive AI Integration Model (DAIM)to explain how Generative AI reshapes decision-making logic and organizational readiness. Research design, data, methodology : Using a conceptual approach, the study integrates theories of disruptive innovation, dynamic capabilities, and socio-technical systems, supported by industry cases from Amazon Robotics, DHL Resilience360, and K-SURE’s Smart Logistics Finance initiative. Results : Generative AI-enabled logistics achieve 20-40% cost reduction, 25% throughput improvement, and 30% spatial efficiency through autonomous simulation and adaptive planning. Conclusions : Generative AI functions as a disruptive general-purpose technology, transforming logistics operations and offering a conceptual foundation for future empirical research in logistics finance and trade insurance.