FOOD-2 — PFME Planning & Tracking Automation Engine.

Nestlé Vietnam · Posted 2 days ago

Consumer goodsGenerative AI

Budget: To be determined
Timeline: Based on solution provider proposal
Apply by: 22 Nov 2026, 23:59 ICT

Problem statement

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.

Expected outcomes and success metrics

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

Target users and impacted teams

- Food (MAGGI) brand and marketing teams

Data availability and readiness

- 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.

Integration, deployment and infrastructure

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.

Relevant AI technologies

Generative AI

Also: Machine Learning. Based on Nestlé's description of a copilot that drafts estimates from past spend and benchmarks similar projects.

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