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  "body": "# Commodity Price Forecaster\n\n> A-1903 • Spend Analytics\n\n## Overview\n\n- **Persona:** Category Manager\n- **Department:** procurement\n- **Objective:** Time-series forecasting across 40+ commodity indices with volatility modeling and hedging window identification. Gemini interprets market-moving events that quantitative models cannot capture and connects them to procurement impact. so the Category Manager can move the Forecast accuracy (30-day) KPI.\n\n## KPI summary\n\n- **Forecast accuracy (30-day)**: Analyst gut feel → 85%+ directional accuracy\n- **Indices tracked**: 5-10 manual → 40+ automated\n- **Time to procurement action**: Days after event → Same-day alert\n\n## Contents\n\n- [Playbook — role, scope, guardrails](/playbook.md)\n- [Source Systems](/systems/index.md)\n- [Data Entities](/tables/index.md)\n- [Agent Tools](/tools/index.md)\n- [Workflow Stages](/workflow/index.md)\n- [Query Capabilities](/queries/index.md)\n- [Eval Scenarios](/tests/index.md)\n- [Source Documents](/documents/index.md)",
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