Wave 13 Supply Chain & Logistics Site Change story Top five use cases Impact Agilent Technologies Penang, MalaysiaFaced with rising demand, material price volatility and a rapidly expanding portfolio (including four mergers and acquisitions and 2,500 new SKUs since 2018), Agilent’s Penang site embraced digital transformation to enhance its high-mix, low-volume manufacturing processes. Deploying over 40 solutions, such as AI in supply chains, 3D printing and zero- code workflows, the site achieved a 40% productivity improvement, a 32% reduction in manufacturing costs and a 48% cut in delivery lead time. Its “Everyone-Can- Digital” initiative upskilled 88% of its workforce, leading to a “Great Place to Work” designation for four consecutive years and reducing attrition to 3.5% compared to the 9.4% industry average.Best-fit adaptive ML demand forecasting system 49%3-months forecast accuracy AI-powered procurement simulation platform 26% Material cost Predictive inventory replenishment with advanced algorithms 55% Deferred revenue Additive manufacturing (AM) production system with AI vision system 75%3D printed manufacturing lead time Zero-code workflow manager for shopfloor automation 26% Production cycle time Emirates Global Aluminium (EGA) Al Taweelah, UAEOperating one of the world’s largest aluminium smelters, in an industry marked by raw material and freight cost volatility, EGA undertook a 4IR transformation to further increase its cost competitiveness, agility and flexibility. In three years, the site implemented over 80 use cases and upskilled over 20% of its workforce, injecting advanced AI into a traditional and labour-intense industry. The site used deep learning computer vision and LLM to optimize frontline operations, reducing operational downtimes by 50% and non- productive time by 18% – raising overall equipment effectiveness by 12%.Deep learning video supervisor to monitor SOP compliance and send real- time alert to operator 90% SOP compliance AI equipment failure prediction with GenAI to explain root cause to operator 22%Mean time to repair (MTTR) of cell failure Deep learning for online inspection of electrode quality 97p.p. Visual inspection rate One click optimization for inbound and outbound shipments 51% Demurrage costs Category management with GenAI to facilitate negotiation 19%Savings vs published market rates Unilever Tinsukia, IndiaTo adapt to the surge in “instant delivery e-commerce” via shorter runs and wider product variety, Unilever Tinsukia, operating in a remote region with limited resources, implemented over 50 digital use cases improving end-to-end supply chain agility through ML-driven planning, AI-enabled changeovers and a green digital twin. This helped reduce planning frozen periods from 14 days to one day, enabling a threefold increase in unique SKUs and cutting the time for sustainable packaging trials by 84%. Additionally, the site supported local community development by fostering digital skills through an Industrial Training Institute and a digital- Braille lab, strengthening its social impact alongside its digital transformation.AI-enabled one-click rapid changeovers and stabilization for premium packs 85%Average changeover time Green digital twin for accelerating sustainable packaging product launches 84%Trial stabilization period AI powered smart workforce allocation for labour productivity 3.9X Labour productivity GenAI-enabled consumer centric statistical process control 2.3X Market share growth AI-enabled integrated planning ecosystem for instant delivery e-commerce 35% Forecast accuracy Global Lighthouse Network: The Mindset Shifts Driving Impact and Scale in Digital Transformation 44

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