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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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