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Augusta BhardwajSay hello
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.

Forecast/overview1 of 4
Forecast: Overview. Demand for the next three months, how close the last forecasts came, and what to do this week.
85%+Confidence
10Products
3Agents
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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

  1. Agent orchestration: each agent's output feeds the next, so one failure cascades down the chain
  2. Confidence band calibration across different product categories
  3. Narrative generation that's specific enough to be actionable, not generic summaries
  4. Handling sparse data for new products with limited history