Demand Forecast

This web application empowers micro and small businesses to make accurate demand forecasts for their products and services. Leveraging advanced classical and machine learning algorithms, it analyzes historical sales data, taking into account variability and seasonality, to predict future demand with high precision. Its intuitive interface allows users to easily upload Excel datasets and receive the most accurate forecast from a variety of models, including ETS, ARIMA, Prophet, Random Forest, and SVM. The application intelligently selects the best model for each product, ensuring optimal results. It then provides clear visualizations and interactive graphs of demand predictions, enabling businesses to make informed decisions regarding production, inventory, and supply chain management. This optimizes efficiency and reduces operating costs, making it an ideal solution for businesses undergoing digital transformation and seeking to optimize resources.

Highlights

• Utilizes powerful classical and machine learning algorithms for accurate demand forecasting.
• Offers an intuitive and user-friendly interface with clear visualizations and interactive graphs of demand predictions.
• Automatically selects the best model for each product, optimizing efficiency and minimizing operating costs.

Key Features

• Allows users to upload Excel datasets for analysis.
• Supports a variety of forecasting models, including ETS, ARIMA, Prophet, Random Forest, and SVM.
• Provides clear visualizations and interactive graphs of demand predictions.
• Offers intelligent model selection for optimal results.
• Enables informed decision-making regarding production, inventory, and supply chain management.