SALES-2 — Market Move Radar – Act on market moves in time to capture growth.
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
One cross-channel radar: AI collects signals, reads shelf prices, compares history and Nestlé performance, and builds response scenarios with expected impact and risk – price, promo, pack and shelf choices before opportunities disappear (daily refreshed).
Today:
- Shopper, category and market signals are scattered across TT, MT and eCommerce and take long to consolidate.
Expected outcomes and success metrics
- Market moves translated into decision-ready responses, daily refreshed.
- Improved innovation hit rate and sharper commercial execution.
- Accurate price/promo capture.
Target users and impacted teams
- Branch Sales
- CDT (Customer Development Team)
- BU
- CMI (Consumer & Market Insights)
Data availability and readiness
- Shelf prices and promotions across TT (Traditional Trade), MT (Modern Trade) and eCommerce
- Nestlé performance history
- Shopper, category and market data
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: Machine Learning. Based on Nestlé's description of AI that reads shelf prices, compares history and builds response scenarios.
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