BUC-3 — AI-powered Trade Spend Forecasting: Smarter, Sharper, Earlier.

A reliable TTS (Total Trade Spend) forecast by activity and channel/customer from validated bottom-up data; know early whether budget will be short or left over so it can be added or released in time, and build a TTS data foundation that can be reused globally. Today: - Trade spend is planned only for the very short term; a budget number is set and allocated across the year. - Spending on activities to boost sales is not tied to an activity-based plan, so budget can run short mid-year and extra requests to Finance lack a plan behind them. - The current trade promotion system is only used to record ROI.

- Trade spend forecast accuracy beyond M+1 (Month + 1) and the TTS investment KPI. - No channel runs out of budget mid-year; less pressure on Finance. - Maximise sales and grow value gap; TTS and sales targets by channel; P&L forecast by channel and customer. - Commercial gets business scenarios to decide; Finance allocates resources right; DSP gets better demand-planning input. - Low-return spend flagged before renewal, with recommendations on where to reallocate for the highest incremental growth.

- Sales (TT, MT, eCommerce, OOH) - CDT (Customer Development Team) and Sales Control - Finance & Control - Supply Chain / Demand & Supply Planning (DSP)

- SRS data (activity-based, budget, timeline, SKU sales forecast) – owner: CDT - Plan, contract, accrual, liquidation and payment data with P&L by customer × category × SKU 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.