FOOD-2 — PFME Planning & Tracking Automation Engine.

A copilot that drafts preliminary PFME estimates from project scope, deliverables, channels, campaign objectives and past spend; benchmarks similar projects, recommends budget allocation by activity and highlights key cost drivers – replacing manual benchmarking and repeated agency quotes. Today: - Estimates are built through self collection and analysis, monthly or quarterly.

- Enhanced winning ability of new innovation. - Less manual benchmarking and fewer repeated agency quotes.

- Food (MAGGI) brand and marketing teams

- CDT (Customer Development Team) data - Channel data - Sales data - PG inline - Past spend and similar projects (named in the summary) 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.