Site Change story Top five use cases Impact Haier Qingdao, People’s Republic of ChinaTo meet surging global demand and address delays in R&D, delivery and after- sales service, Haier Jiaozhou optimized its entire value chain with big data, advanced algorithms and generative AI. Supplying 90% of its products globally, the site achieved a 49% reduction in design cycle time, a 19% decrease in order delivery time, and a 28% drop in overseas failure rates.Cooling system design optimization based on performance prediction model 49%Cooling system design cycle Advanced algorithm- enabled dynamic scheduling of overseas orders 19%Overseas orders delivery cycle Self-tuning of vacuuming standard based on vacuum level prediction model 25% Evacuation efficiency ML-enabled expert system on global cloud laboratory 75%Quality defect diagnostic cycle AI-enabled overseas air conditioner predictive diagnostics and repair advice 33%Mean time to repair (MTTR) Schneider Electric Shanghai, People’s Republic of ChinaFaced with a surge in global orders and a fourfold increase in SKUs from new energy markets, Schneider Electric Shanghai responded by boosting automation by 20% and integrating advanced technologies like ML-enabled prototyping, smart planning and GenAI-driven maintenance. These efforts led to a 63% improvement in speed- to-market, a 67% reduction in make-to- order lead time and an 82% increase in labour productivity.ML-enabled digital prototyping 67% Verification lead time End-to-end supply chain intelligent planning and scheduling 8%2nd time on-time delivery Supplier quality connectivity empowered by advanced analytics 84% Defect rate Modular automation production lines empowered by digital twin 64%Industrialization lead time Augmented maintenance workforce using GenAI 33%Mean time to repair (MTTR)End-to-End (E2E) Value Chain Lighthouses Wave 12 Supply Chain & Logistics Global Lighthouse Network: The Mindset Shifts Driving Impact and Scale in Digital Transformation 43

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