Year: 2025
Type: article
Abstract: Generative AI is revolutionizing how businesses approach product design by enabling rapid, data-driven customization and innovation. This research explores the transformative potential of generative artificial intelligence in creating customer-centric product designs. By analyzing real-world case studies like AI-generated fashion, automotive parts, and consumer goods. the study evaluates how AI accelerates ideation, reduces prototyping costs, and enhances personalization while addressing ethical concerns like intellectual property and bias. Mixedmethods researchincluding surveys of customer perceptions, interviews with designers, and comparative analysis of AI vs. traditional workflowsreveals best practices for integrating AI into design processes without compromising human creativity. Findings suggest that generative AI can reduce time-to-market by up to 40% and significantly improve customer satisfaction through hyper-personalized outputs. However, success depends on balancing automation with human oversight, curating unbiased training data, and establishing clear governance frameworks. This study provides actionable insights for businesses adopting AI-driven design tools and identifies future trends, such as AI/AR collaboration and blockchain-based design verification.
Author: Ajoke A. Asunmonu
Institution: Quantic School of Business and Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409395693