Developing an Enterprise Logistics Strategy under Market Instability

This paper examines how businesses can develop enterprise logistics strategies amid increasing market instability to remain agile and responsive.In a context defined by geopolitical tensions, fluctuating demand, and supply chain disruptions, the capacity to adjust logistics strategies in real time is essential for ensuring operational continuity and competitiveness.Purpose.This study aims to develop an integrated model of an adaptive logistics strategic cycle that encompasses five key management stages under unstable market conditions.The study also seeks to evaluate the effectiveness of real-time correction mechanisms supported by digital technologies.Results.Through a comprehensive literature review and practical case analysis, we propose the following five-step strategic framework: (1) scanning the external environment using big data analytics and AI-based forecasting tools, (2) precisely formulating logistics objectives based on risk assessment, (3) flexibly planning scenarios on a micro level to anticipate potential disruptions, (4) implementing and monitoring in real time via IoT infrastructure and digital twins, and ( 5) systematically reviewing strategies with automated feedback loops and machine learning-driven adjustment protocols.Evidence suggests that this model can reduce logistics disruption costs by 15-20%, while significantly improving system transparency and agility.Conclusions.The proposed adaptive strategic cycle model enables companies to transition from reactive to proactive logistics management.The model enables the continuous alignment of logistics operations with evolving market dynamics, enhances supply chain resilience, and establishes a solid basis for digital transformation in agricultural and industrial enterprises.These findings offer logistics managers actionable recommendations for increasing efficiency, responsiveness, and long-term competitive advantage in volatile markets.