MILO-1 — Daily Commercial Insight.
Nestlé Vietnam · Posted 1 hour ago
Consumer goodsGenerative AIPredictive Analytics / ForecastingSearch & Knowledge Retrieval
- Budget
- To be determined
- Timeline
- Based on solution provider proposal
- Apply by
- 22 Nov 2026, 23:59 ICT
Problem statement
Every morning: what sold yesterday, where, why, and what to do today.
Today:
• The business understands the information well but connecting the data takes more structured support; sell-in data down to each store (SKU (Stock Keeping Unit), volume, price, promotion, region, store type) is very large, plus external data (such as Nielsen), yet the team spends a lot of time answering daily business questions.
Expected outcomes and success metrics
• Saves a great deal of time answering questions; know immediately what is happening to focus on the day's priorities; frees up time to design programmes, meet customers and drive growth.
Target users and impacted teams
• Milo & Milk commercial / brand teams
Data availability and readiness
• Sell-in data down to each store (SKU, volume, price, promotion, region, store type)
• External data (such as Nielsen)
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 AIPredictive Analytics / ForecastingSearch & Knowledge Retrieval
Based on Nestlé objectives for daily sell-in Q&A, regional gap detection versus external data, suggested actions, and automated report/presentation generation.