Leveraging Generative AI for Prototyping and Design in Product Development: A Comprehensive Framework for Innovation

Abstract

Generative Artificial Intelligence (Gen AI) is reshaping product development by enhancing design and prototyping processes. By automating early-stage exploration and acceleration of iteration cycles, Gen AI enables the rapid generation and refinement of optimized design alternatives. This paper presents a comprehensive framework employing sophisticated machine learning architectures, utilizing models like Generative Adversarial Networks (GANs), diffusion models, variational autoencoders, and transformer architectures to generate and iteratively improve designs based on predefined parameters and user specifications.
Beyond process optimization, the integration of Gen AI promotes seamless cross-functional collaboration across traditionally siloed teams working towards a unified approach to product evolution. The proposed framework empowers designers and product managers in exploring new design territories, optimizing product attributes and fostering human-AI collaboration. This approach enhances efficiency, product value, and creative potential across diverse industrial landscapes.