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demand-forecasting-engine

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Statistical demand forecasting skill using multiple algorithms with automatic model selection and accuracy tracking

library/specializations/domains/business/supply-chain/skills/demand-forecasting-engine/SKILL.md

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Repository stars (not skill ratings): 1,901
Repository last updated: Nov 1, 2026
License: MIT

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# Demand Forecasting Engine

## Overview

The Demand Forecasting Engine provides comprehensive statistical and machine learning-based demand forecasting capabilities. It supports multiple forecasting algorithms with automatic model selection, ensemble averaging, and continuous accuracy tracking to generate reliable demand predictions for supply chain planning.

## Capabilities

- **Time Series Forecasting**: ARIMA, exponential smoothing, Holt-Winters methods
- **Machine Learning Models**: XGBoost, LSTM neural networks for complex demand patterns
- **Causal Factor Integration**: Incorporate promotions, seasonality, trends, and external drivers
- **Demand Sensing**: Short-term signal incorporation for near-term forecast adjustment
- **Accuracy Metrics**: MAPE, WMAPE, bias calculation and tracking
- **Automatic Model Selection**: Best-fit algorithm selection based on data characteristics