Dynamic Optimization and Multi-Regional Performance Validation of Automotive Sales Strategies in the United States
In the context of global automotive market restructuring, this study proposes a comprehensive framework for dynamic sales optimization and performance governance to enhance adaptability and resilience in multi-regional automotive markets. Drawing on the U.S. automotive sector and China’s rapidly expanding new energy vehicle (NEV) exports as empirical contexts, the paper integrates theories of market orientation, organizational learning, and dynamic management to construct a continuous feedback loop of sensing–learning–adjusting–validating. The proposed framework emphasizes real-time responsiveness, cross-regional performance validation, and feedback-driven learning as key mechanisms for sustaining competitiveness under policy volatility, technological transition, and regional heterogeneity. By aligning strategic adaptability with data-driven decision-making and human-centered agility, the study provides both theoretical insights and practical guidance for automotive manufacturers, insurers, and related service organizations seeking to achieve sustainable, region-specific performance in a dynamically evolving global market.
