CB-1 — Sampling Intelligence Hub.
Nestlé Vietnam · Posted 2 days ago
Consumer goodsComputer VisionGenerative AI
- Budget
- To be determined
- Timeline
- Based on solution provider proposal
- Apply by
- 22 Nov 2026, 23:59 ICT
Problem statement
AI combines camera-based execution checks with analysis of consumer feedback at every sampling point – every sampling dollar verified, much less manual consolidation, insights within hours instead of weeks.
Expected outcomes and success metrics
- Every sampling dollar verified – transparent, evidence-based execution reporting.
- Much less manual consolidation and analysis.
- Insights within hours instead of weeks after activations.
- Real-time optimisation of sampling execution and communication; fair comparison of activations.
- Higher ROI (Return on Investment) on activation investment and stronger new product launches.
Target users and impacted teams
- Brand and activation teams running sampling campaigns
Data availability and readiness
- Camera images from sampling points
- Consumer feedback collected at sampling points
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
Computer VisionGenerative AI
Also: Natural Language Processing. Based on Nestlé's description of camera-based execution checks plus analysis of consumer feedback.
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