Eaton engineers uses GenAI to reduce lighting fixture design time from 16 weeks to just two, streamlining complex engineering workflows.
Eaton integrated GenAI into its design process by digitizing workflows and training AI models with historical product data and simulated insights. Traditional product development for lighting fixtures involves multiple engineering disciplines, making it a lengthy process. By using AI-powered automation, Eaton can now evaluate cost, performance, and manufacturability in just weeks instead of months. The AI-driven system processes new design requests 87% faster, significantly enhancing efficiency and reducing time-to-market.
To scale AI applications across product development, Eaton established five key pillars: data accuracy, model-based engineering, intelligent automation, connected manufacturing ecosystems, and scalable computing infrastructure. AI-driven simulations optimize designs, digital twins integrate workflows across systems, and cloud-based computing ensures secure, scalable operations. These pillars enable AI to analyze size, weight, tolerances, and cost while ensuring manufacturability through automated simulations.
Eaton’s AI-powered digital engineering strategy aims to double its innovation output while achieving zero lead-time objectives. The AI-enhanced design framework improves efficiency and product performance, reinforcing Eaton’s commitment to data-driven innovation. By integrating GenAI across engineering and manufacturing, Eaton accelerates product development, optimizes costs, and enhances its competitive edge in digital design.