Abstract

Artificial Intelligence (AI) is revolutionizing manufacturing by transforming personalized product designs to meet the growing demand for customized solutions. This research highlights how AI technologies such as machine learning, generative design, and predictive analytics enable manufacturers to predict consumers’ preferences, optimize design parameters, and facilitate mass customization while maintaining efficiency, scalability, and quality. The study emphasizes AI's role in real-time decision-making and production agility, showcasing its ability to overcome traditional design limitations and enhance customer satisfaction. Key challenges, including data privacy concerns, algorithmic biases, and the need for interdisciplinary collaboration, are also explored. Through case studies and simulations, the research demonstrates the tangible benefits of AI-driven systems, such as improved product quality and operational efficiency, while identifying best practices and future opportunities for innovation in smart manufacturing. Ultimately, the findings underscore the transformative potential of AI in reshaping production processes, paving the way for a new era of personalized, efficient, and customer-centric manufacturing.