BAF-1 — AI New Product Launch Accelerator.

Introducing a new SKU/product can take multiple trials and stabilisation cycles. Historical trial learning, process settings and quality results are not yet turned into predictive recommendations for the next launch. Before each trial, AI learns from similar products, past trials, process settings and quality results to recommend a stronger starting recipe/process window and flag likely risks.

- Fewer trial iterations and losses. - Shorter time to stable manufacturing. - More right-first-time trials and faster time-to-market.

- AG/PTC, R&D - Manufacturing, QA, Engineering - Supply Chain

- Trial reports - Recipes/formulations - Process parameters and quality results - Raw/pack material conditions, line capability - Technical Acceptance outcomes 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.