Sales & demand forecasting that plans your inventory for you

Time series forecasting combining Prophet and XGBoost to predict demand and sales, reducing the guesswork in inventory and staffing decisions.

⚠️ This is an independent portfolio project built on public data — not a paid client engagement. Results are shown as-is, including known limitations.

Key results

Models	Prophet + XGBoost (ensembled)
Use case	Demand prediction, inventory planning

How it works

Historical sales data is decomposed into trend, seasonality, and residual components with Prophet, while XGBoost captures non-linear effects Prophet misses. The combined forecast can be wired directly into an n8n workflow for automatic weekly or monthly reports.

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