The Demand Forecast App with Artificial Intelligence is a powerful yet easy-to-use tool designed for planning managers, supply chain analysts, and SMEs who need reliable demand forecasts without complex setups. It leverages advanced AI models—ETS, ARIMA, Prophet, Random Forest, and XGBoost—to automatically select the best algorithm for each SKU based on RMSE performance in a holdout validation. This ensures accurate forecasts tailored to your data patterns.
Key features include automatic model selection, support for daily, weekly, or monthly forecasts with horizons from 1 to 6 periods, and confidence intervals (90/95/99%) for time series models. The app handles frictionless data upload via CSV or TXT files with flexible delimiters, automatically maps columns, fills missing dates per SKU, and sorts series. Results are visualized with historical and forecast charts per SKU, and downloadable as forecasts.csv and metrics.csv containing MAPE, RMSE, MAE, and MASE.
Use cases include inventory optimization, demand planning, and supply chain decision-making for businesses with up to 10 SKUs per run in the free version. The app is ideal for those needing quick, accurate forecasts without IT involvement. Technical details: the app splits data into 80/20 train/test sets, trains five models, compares RMSE, and selects the winner by SKU. Privacy is ensured as files are processed in temporary sessions and not permanently stored.
Benefits: saves time, reduces forecast error, and provides actionable insights. The free version includes unlimited email support and a downloadable template. For larger needs, contact for enterprise options.
planning managers, supply chain analysts, SMEs, inventory planners, operations managers, data analysts