Global Lighthouse Network 2026

AI applications to meet growing demands for speed, customization and innovation FIGURE 21 Source: Global Lighthouse Network.noitaretI noitaretI noitaretI Feedback ssecorp eht gniganaM of creating and selecting initial pr oduct ideas for further developmentIdea generation aedi tcudorp a gninfieR into a fully defined, tested, and economically viable pr oduct ,noitaulave tpecnoC prioritization & developmentBuilding and integrating IT and network components based on product specificationsTechnical realization tcudorp a gnihcnuaL through advertising, support setup and channel strategy design-ot-oG market s’tcudorp a gnieesrevO performance thr ough its growth, maturity and decline stagesLifecycle managementspets tnempoleved tcudorp lacipyT snoitacilppa cfiiceps-snoitcnuf ,lacitreV In-house developmentAIGC-power ed virtual design assistant Haier addressed the challenges of a highly complex new product introduction (NPI) process, characterized by frequent customer requirement changes, by deploying an AI-generated content (AIGC)-powered virtual design assistant. The solution, called the/uni00A0co-designer platform, leverages market and social media data, as well as technical and manufacturing data, to generate designs. Backed by expert design assets and customer preference data, the platform processes multimodal inputs to run a domain-specific text- to-image model, generating multiple industrial renderings from text descriptions.-50% Time to insight+67% Design output per month+13p.p. First-pass drawing appr oval rateHaier Shanghai, ChinaIdea generator , resear ch curator Joint-developmentAI-enabled simulation for cabinet performance optimization Eaton deployed an AI-enabled simulation platform to optimize cabinet performance and reduce delivery cycles. The solution includes a cloud data portal and a KG-based smart design platform, where engineers input variables to automatically generate module-drawing changes. Simulation- enabled computer-aided engineering (CAE) achieved one-click wiring design and accuracy checks, while AI-powered computer-aided manufacturing (CAM) optimized production paths and material usage.+73% Production efficiency-39% Order-to-ship lead time+66% Drawings/ FTEEaton Changzhou, ChinaInsights pr ovider , customer service assistant Joint-developmentKnowledge graph and LLM- power ed smart bidding system Eaton tackled the complexities of engineer-to- order (ETO) bidding, which involves diverse specifications, implicit requirements and rapid- response needs by deploying a knowledge graph (KG) powered by large language models (LLMs). The system intelligently configures bids based on over 50,000 modules, efficiently handling complexity and accelerating bid specification preparation. LLMs, integrated via retrieval- augmented generation (RAG), accurately interpret customer requirements and provide recommendations. Automated documentation further streamlines the process by generating customized bids.+10p.p. Win rate+55% Design output per year-52% Bidding & customized or der design cycleEaton Changzhou, ChinaNegotiation assistant, risk assessor The modular design of GenAI systems enables them to be easily adapted across contexts and requirements, enabling large-scale deployment of vertical applications. Once trained on a specific task or dataset, a model can be fine-tuned for new product lines without starting from scratch. By investing early in data infrastructure and targeted AI capabilities, Lighthouses elevate GenAI from a tool to a true co-collaborator. Global Lighthouse Network: Rewiring Operations for Resilience and Impact at Scale 33