TECH-2 — New product launch, capacity & autonomous RTD line.

Learn from past trials to shorten NPI (New Product Introduction), find capacity bottlenecks and self-adjust the RTD (Ready-to-Drink) line. Today: • New SKU (Stock Keeping Unit)/product introduction can require multiple trials and stabilization cycles. • Disconnected production, loss and planning data make bottlenecks difficult to identify. Capacity opportunities need evaluation while respecting quality, safety and asset limits. • RTD (Ready-to-Drink) operation still depends on significant operator intervention to detect, correct and recover from deviations across processing, UHT, filling and packing.

• Faster time-to-market. Reduce trial losses. Support innovation growth. Learn from historical trials, process settings, quality results and similar products to support faster industrialization and more stable manufacturing readiness for innovation launches. • Increase efficiency and process stability, reduce micro-stops and losses, accelerate recovery and minimize operator intervention, enabling progression toward lights-out manufacturing. Self-adjusting end-to-end RTD (Ready-to-Drink) operation where process, filling and packing equipment automatically detect, correct and recover from deviations within predefined safety, quality and operating boundaries. • Improve throughput and asset utilization. Support growth and service with existing capacity. Enable faster investment and production decisions. Optimize capex, changeover, speed and availability trade-offs. Reduce capacity-study time and engineering effort. • Identify bottlenecks and validate capacity scenarios across NESCAFE and MAGGI. Support production and inventory decisions. Measure capacity gain, throughput, service level and capex avoidance. Baselines and targets to be confirmed.

• Technical and manufacturing teams • Production, planning and capacity teams • RTD (Ready-to-Drink) operations (processing, filling and packing) • Engineering teams supporting capacity studies

Note: Synthetic data could be potentially provided during the process, upon approval of the Nestlé team and in compliance with data law.

• To be determined Note: Nestlé's current environment includes Microsoft Azure and Microsoft Copilot. Solutions that can work with this environment are welcome, and final integration and deployment requirements will be confirmed with the Nestlé team.