MANAGEMENT IN LOGISTICS: INTEGRATION OF ARTIFICIAL INTELLIGENCE AND TECHNICAL COMMUNICATION
Keywords:
artificial intelligence, logistics management, technical communication, digital twins, explainable AIAbstract
This paper analyzes the integration of artificial intelligence (AI) and technical communication in contemporary logistics management, based on the premise that successful AI implementation extends beyond the technological dimension and requires systemic organizational and communicational integration. Drawing on recent literature in logistics, supply chain management, and technical/professional communication, the study identifies key factors for managing AI implementation: strategic positioning and use-case selection, data governance and system interoperability, model lifecycle management (MLOps), digital twins as an integration infrastructure, as well as explainability (XAI) and risk management. Special attention is given to the role of technical communication in data standardization, documentation of AI systems, ensuring transparency and institutional trust, and facilitating interorganizational coordination within supply networks. The findings indicate that technical communication functions as both an integrative and control mechanism, enabling operational reliability, scalability, and sustainability of AI solutions in logistics systems. It is concluded that the synergy between AI technologies and structured communication protocols forms the foundation of modern, transparent, and manageable logistics management in a digital environment.Downloads
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