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FOOD-1 — Insight-to-Action Copilot.

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 synthesises insights across sources (U&A, concept/product tests, social listening, Nielsen, consumer feedback), surfaces recurring consumer tensions, unmet needs and growth opportunities, and generates business-ready recommendations for innovation, communication and renovation – with much less time retrieving data. Today: - Teams manually review reports and consolidate findings into business recommendations, for every research project and innovation cycle.

Expected outcomes and success metrics

- Less time retrieving data per research project. - Faster insight generation. - Stronger consumer-centric decision making. - Improved utilisation of research investments.

Target users and impacted teams

- Food (MAGGI) brand and marketing teams - Insight teams

Data availability and readiness

- U&A - Concept tests and product tests - Social listening - Business reviews - Nielsen - Consumer complaints 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: Natural Language Processing. Based on Nestlé's description of a copilot that synthesises insights across research sources and generates recommendations.

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