
AJNS OPEN ACCESS
Academic Journal of Natural Science
ISSN:3078-5170 (print) | ISSN:3078-5189 (online) | Publication Frequency: Quarterly
Dynamic Optimization and Multi-Regional Performance Validation of Automotive Sales Strategies in the United States
* Corresponding Author1: Zhou Ziren , E-Mail: judynov@outlook.com
Publication
Accepted 2026 February 14 ; Published 2026 February 20
Academic Journal of Natural Science, 2026, 3(1), 3078-5170.
Abstract
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.
Keywords
Dynamic Sales Optimization , Organizational Learning , Performance Governance , Automotive Market Adaptation .
Metadata
Pages: 1-7
References: 17
Disciplines: Computer Science
Subjects: Data Science
Cite This Article
APA Style
Ziren , Z. (2026). Dynamic optimization and multi-regional performance validation of automotive sales strategies in the united states. Academic Journal of Natural Science, 3(1), 1-7. https://doi.org/10.70393/616a6e73.333934
Acknowledgments
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FUNDING
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INSTITUTIONAL REVIEW BOARD STATEMENT
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DATA AVAILABILITY STATEMENT
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INFORMED CONSENT STATEMENT
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CONFLICT OF INTEREST
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AUTHOR CONTRIBUTIONS
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References
PUBLISHER'S NOTE
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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