Abstract

Electric Vehicle (EV) battery cell manufacturing has seen significant advancements driven by digital transformation and artificial intelligence (AI). This research paper explores the integration of AI into supply chain and logistics optimization in EV battery production. The paper highlights the challenges faced by traditional manufacturing systems, such as inefficiencies in material sourcing, production bottlenecks, and logistics complexities. It delves into AI-driven solutions, including predictive analytics, inventory optimization, and quality assurance systems, that address these challenges effectively. By analysing case studies from industry leaders and conducting statistical evaluations, the paper demonstrates how AI improves operational efficiency, reduces costs, and supports sustainability goals. A proposed framework for AI integration provides a roadmap for manufacturers to transition toward digital transformation. The findings emphasize the transformative impact of AI in revolutionizing EV battery production, contributing to a more sustainable and efficient future in the automotive industry. Additionally, the research underscores the role of AI in fostering innovation, enhancing decision-making, and achieving scalable solutions that align with global environmental goals. By integrating AI across the supply chain, companies can achieve unprecedented levels of transparency, flexibility, and resilience, positioning themselves competitively in an evolving market landscape.

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