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FIN-1 — E2E forecast, P&L & scenario copilot.

Nestlé Vietnam · Posted 2 hours 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

Build forecasts from data, run what-if scenarios, explain drivers and share a P&L (profit and loss) forecast across teams. Today: • Today, significant effort in the E2E (end-to-end) forecast process goes into collecting assumptions, consolidating inputs and explaining the latest forecast. Scenario analysis and sensitivities often require additional manual work, making it harder to quickly assess risks, opportunities and alternative courses of action. As a result, forecasting can become more focused on reporting expected results than on foresight about what could happen and which actions to take. • PnL is widely used for cross functions, not only Finance. There should be a specific forecast for the market (because Global also has a project) and can be applicable to different teams.

Expected outcomes and success metrics

• Forecasting would shift from reporting expected results to foresight on what could happen and which actions to take. Team focus could be more on identifying opportunities, understanding key business drivers, and testing alternative scenarios. Management could quickly assess the impact of different assumptions and actions, enabling faster, more proactive and better-informed decisions. • There should be an opportunity to create a cross-functional PnL forecast so that every team can benefit from.

Target users and impacted teams

• F&C (Finance & Control) / Business Control • Finance and other functions using the P&L • Management; multiple teams

Data availability and readiness

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 text for E2E (end-to-end) forecast and scenario/sensitivity analysis and for a cross-functional P&L (profit and loss) forecast shared beyond Finance.