DIGITAL TRANSFORMATION IN REALIZED INTEGRATED LOGISTICS WITH ARTIFICIAL INTELLIGENCE ( AI) IN COMPANIES FEDEX EXPRESS INDONESIA

Abstract

This study aims to analyze the role of Artificial Intelligence (AI)-based digital transformation in realizing integrated logistics at FedEx Express Indonesia. The main focus is directed at the application of AI in demand prediction, distribution route optimization, and warehouse automation, as well as the integration of systems, data, and services to improve operational efficiency and competitiveness. The study uses a library research method by analyzing scientific sources, industry reports, and relevant case studies, including a comparison of the implementation of similar technologies in developing countries. The results show that the integration of AI technology into logistics processes can improve the accuracy of distribution planning, reduce delivery times, and significantly reduce operational costs. On the other hand, warehouse automation contributes to increased productivity and reduced operational errors. However, this implementation faces significant challenges, including the need for capital investment, limited human resource competencies, immature regulations, and data security risks. The impact of this study emphasizes the importance of cross-sector collaboration—government, industry players, academics, and technology providers—in building a sustainable smart logistics ecosystem. These findings are expected to serve as a strategic reference for logistics companies in Indonesia and other developing countries in formulating a roadmap for AI-based digital transformation