A comprehensive implementation of retail demand forecasting using LightGBM, featuring advanced time series feature engineering and custom evaluation metrics.
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Updated
Jan 31, 2025 - Jupyter Notebook
A comprehensive implementation of retail demand forecasting using LightGBM, featuring advanced time series feature engineering and custom evaluation metrics.
Predict next-month SKU demand for 100k+ retail shops. The system recommends top SKUs per shop and generates structured LLM explanations describing the demand signals behind each recommendation.
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