barbosarafael/multiple-time-series-forecast
Projeções de múltiplas séries temporais, utilizando modelagem hierarquica
This project helps retail managers and business analysts accurately forecast sales for many product categories across different regions and states simultaneously. You provide historical sales data, and it outputs reconciled sales forecasts for each specific combination (e.g., 'men's shoes in California') that add up correctly to regional and total sales figures. This is ideal for anyone needing consistent sales predictions across various levels of a product or geographical hierarchy.
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Use this if you need to generate sales forecasts for hundreds of product/location combinations where the individual forecasts must sum up precisely to higher-level aggregates (like total sales for a state or region).
Not ideal if you only need a single, top-level sales forecast or if the relationships between different forecasting levels are not hierarchical.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 22, 2024
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