Work / 2025 · Demand planning
Forecast
3 AI agents. One forecast. Zero stockouts.
Multi-agent system: Forecaster analyzes data, Risk Analyst flags anomalies, Narrator writes executive summaries. 86% confidence across 10 products.

85%+Confidence
10Products
3Agents
Auto-generatedReport
The problem
Demand forecasting typically requires data scientists and weeks of work. Small businesses can't afford that but still need to avoid stockouts and overstock.
How I built it
Built a multi-agent system using CrewAI. Three specialized agents collaborate to produce actionable forecasts: a Forecaster analyzes the data, a Risk Analyst flags anomalies and a Narrator writes executive summaries.
CrewAIPython
The hard parts
- Agent orchestration: each agent's output feeds the next, so one failure cascades down the chain
- Confidence band calibration across different product categories
- Narrative generation that's specific enough to be actionable, not generic summaries
- Handling sparse data for new products with limited history


