Research on the application and practice of industrial design innovative thinking driven by AI in the process of innovation and entrepreneurship

Industrial design, traditionally driven by human creativity and craftsmanship, is increasingly influenced by the capabilities of artificial intelligence (AI) technologies, which are reshaping the ways products are conceptualized, developed, and brought to market. As the global economy becomes more technology-driven, there is a growing demand for businesses to adopt innovative solutions that enhance efficiency, creativity, and adaptability. The integration of AI into industrial design has revolutionized the processes of innovation and entrepreneurship. This study explores the application of AI-driven innovative thinking in industrial design, focusing on its impact on product development, design optimization, and the creation of new business opportunities. The data includes product features, design specifications, development timelines, user feedback, market trends, consumer preferences, and entrepreneurial outcomes associated with each product. Data preprocessing involves One-Hot Encoding to standardize categorical variables and improve model accuracy. The proposed Intelligent Rabbit Swarm Optimized Recurrent Neural Network (IRSO-RNN) aims to optimize the design process, predict market trends and consumer preferences, and support entrepreneurial decision-making. The IRSO-RNN model offers a unique approach to design optimization by combining swarm intelligence with recurrent neural networks (RNNs), enabling more effective prediction of consumer preferences and market trends. Additionally, the study examines AI’s potential in fostering creativity, enhancing product development, and promoting sustainability, thereby transforming entrepreneurial ecosystems through improved product design and increased business competitiveness. The performance of the proposed IRSO-RNN method was evaluated in terms of Mean Squared Error (MSE) (0.01) and Root Mean Square Error (RMSE) (0.11). Ultimately, the findings highlight the transformative potential of AI in driving innovation and entrepreneurship within the industrial design sector.