forecast-accuracy-analyzer

# Forecast Accuracy Analyzer ## Overview The Forecast Accuracy Analyzer provides comprehensive forecast accuracy measurement, error decomposition, and improvement recommendation capabilities. It supports continuous forecast quality improvement through root cause analysis and model performance comparison. ## Capabilities - **MAPE, WMAPE, Bias Calculation**: Standard accuracy metrics - **Forecast Error Decomposition**: Breakdown by error source - **SKU-Level Accuracy Tracking**: Granular accuracy monitoring - **Forecast Value-Add (FVA) Analysis**: Contribution of forecast steps - **Root Cause Categorization**: Error driver classification - **Model Performance Comparison**: Multi-model accuracy benchmarking - **Improvement Recommendation Generation**: Data-driven suggestions - **Accuracy Trend Monitoring**: Historical accuracy tracking ## Input Schema ```yaml forecast_accuracy_request: forecast_data: forecasts: array - sku_id: string period: string forecast_value: float forecast_source: string period_range: start: date end: date actual_data: actuals: array - sku_id: string period: string actual_value: float analysis_parameters: metrics: array # MAPE, WMAPE, Bias, etc. aggregation_levels: array # SKU, category, total fva_steps: array # Statistical, sales input, etc. segmentation: by_category: boolean by_volume: boolean by_variability: b...