The Evolving Landscape of TRIZ: A Generative AI-Powered Perspective

The surge of Generative AI has revolutionized problem-solving, giving rise to innovative tools that unlock unprecedented solutions and cross-industry breakthroughs within the TRIZ methodology. This paper unveils five ground-breaking Generative AI- integrated tools designed to enhance innovation and problem-solving across diverse domains. 1. Mechanism Oriented Search (MOS): Identifies and analyzes specific problem mechanisms, abstracting them for cross-industry comparison, facilitating the discovery of innovative solutions by applying insights from one field to challenges in another. 2. Resource Innovator for Non-Engineering: Extends TRIZ to non-engineering fields, focusing on identifying and leveraging unique resources within domains like nursing, education, and communication, empowering users to uncover hidden potential. 3. TRIZ FOS-Market Explorer: Facilitates the discovery and analysis of adjacent market opportunities by abstracting the primary function of a product or service and identifying similar functions across various industries, revealing potential new markets. 4. Systematic Idea Generation: Employs detailed resource analysis and TRIZ principles to facilitate innovation within existing systems, categorizing resources and suggesting strategic modifications to components or processes. 5. Function Redirector: Fosters innovation by redirecting functions and resources towards achieving goals in novel ways, deconstructing primary functions into auxiliary functions to stimulate creative problem-solving. These tools collectively harness the power of Generative AI to revolutionize problem-solving and innovation across various sectors, offering structured analysis, imaginative recombination, and cross-disciplinary insights.