Formation of a Logistics Potential Management System for Enterprises

Abstract

In the context of globalization, intensified competition, and supply chain volatility, the formation of an effective logistics potential management system for enterprises acquires strategic importance. Logistics potential is defined as an integral category combining resource base, organizational competencies, information-technology capabilities, and dynamic adaptation abilities to external shocks. The core problem lies in the insufficient adaptability of traditional management models to turbulent environments, resulting in inefficient resource utilization, cost escalation, and diminished competitiveness. The purpose of the article is to develop conceptual and methodological foundations for forming a logistics potential management system under digital transformation, geopolitical risks, and increasing requirements for resilience and environmental responsibility. The study addresses the following tasks: systematization of theoretical approaches considering Logistics 4.0 and Industry 5.0; analysis of the impact of digital technologies (AI, IoT, big data, blockchain, digital twins) on supply chain resilience enhancement; development of an integrative assessment methodology based on the composite index LPI, AHP, and scenario modeling; substantiation of a four-level management system architecture grounded in agility, proactive risk management, green practices, and data-driven decision-making; proposal of practical implementation recommendations for real-sector enterprises (manufacturing, trade, agro-industrial complex). The findings demonstrate a potential increase in supply chain resilience by 25–30%, reduction in operating costs by 15–20%, faster response times by 25%, and decrease in carbon footprint by 18–20%, based on Monte Carlo simulation (1000 iterations) on a sample of 50 enterprises and literature estimates. The proposed approach ensures objective diagnostics (LPI ranging from 0.56 for traditional to 0.82 for digitally mature enterprises) and synergistic effects in integrating operational efficiency, economic resilience, and alignment with UN Sustainable Development Goals. The research advances the resource-based view and dynamic capabilities theory, providing a practical toolkit for enhancing the competitiveness of Ukrainian enterprises in the turbulent environment of 2025–2030. Future research prospects include empirical studies of Logistics 5.0, regionally adapted models for SMEs in the agro-industrial complex, long-term AI effects in the circular economy, and comparative analysis across Eastern European countries.