Demand Forecast for Web

Solution snapshot

Demand Forecast App is a browser-accessible forecasting tool built for micro and small enterprises that need reliable demand projections. It processes historical sales records and returns short- to medium-term predictions so businesses can plan production, manage stock, and reduce waste.

What it does and why it helps

Users upload their sales files in Excel format and the application evaluates patterns across SKUs to forecast future needs. The interface includes dynamic charts and timelines that make projected demand easy to interpret, helping teams take action on procurement, manufacturing schedules, and inventory levels to lower carrying and shortage costs.

Models and automated selection

• Random Forest (tree-based ensemble)
• ARIMA (classical time-series modeling)
• Support Vector Machines (regression mode)
• Prophet (trend and seasonality fitting)
• ETS (error‑trend‑seasonality models)

An internal routine compares model performance for each item and picks the most appropriate technique automatically, removing the need for manual model tuning.

Core capabilities

• Multi-SKU support to handle many product lines simultaneously
• Continuous maintenance and feature updates to keep models current
• Robust detection of anomalies and outliers in historical data
• Forecasts that extend across a 12-month planning window

Practical outcomes

By combining a range of algorithms with automated model selection and interactive visualizations, the app enables small businesses to make data-driven choices that improve operational efficiency and cut unnecessary costs.