SC-3 — DSA Predictive Analytics.
Nestlé Vietnam · Posted 2 days ago
Consumer goodsPredictive Analytics / Forecasting
- Budget
- To be determined
- Timeline
- Based on solution provider proposal
- Apply by
- 22 Nov 2026, 23:59 ICT
Problem statement
An AI model that predicts Distributor Stock Availability (DSA) failures before they happen, diagnoses the cause (abnormal sell-out, low forecast, late GR, insufficient credit) and sends targeted actions to RSMs by email / Teams.
Expected outcomes and success metrics
- DSA failures predicted before they happen, with targeted actions.
Target users and impacted teams
- RSMs
- Supply Chain · Distributor Stock team
Data availability and readiness
- Distributor sell-out, forecast, goods receipt (GR) and credit data (causes named in the summary)
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
Predictive Analytics / Forecasting
Also: Machine Learning. Based on Nestlé's description of an AI model that predicts and diagnoses stock-availability failures.
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