Demand Forecast
Demand Forecast provides accurate predictions and insights to help businesses optimize inventory and streamline operations for greater efficiency and profitability.
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English
What is Demand Forecast?
Demand Forecast is an advanced web application that helps businesses make precise predictions about future demand for their products and services. By leveraging powerful machine learning algorithms, the tool analyzes historical sales data, taking into account variability and seasonality to provide accurate Demand Forecasts.
Users can easily upload data sets from Excel and select from various estimated models such as ETS, ARIMA, Prophet, Random Forest, and SVM. The intelligent algorithm automatically chooses the best model for each product, offering clear visualizations and interactive graphs to illustrate demand predictions over time. This enables companies to make informed decisions about production, inventory, and supply chain management, thereby improving efficiency and reducing operating costs.
The tool includes several key features such as historical data analysis, outlier detection and imputation, model competition algorithms, and KPI forecast systems. These features are particularly useful for small to mid-sized companies undergoing digital transformation and looking to optimize resource utilization for better business performance in today’s competitive market landscape.
Key Features
Automatic Model Selection: The tool intelligently selects the best model for each product.
Data Upload: Users can easily upload data sets from Excel.
Interactive Visualizations: Clear and interactive graphs show demand predictions.
Outlier Detection and Imputation: Ensures data accuracy by handling outliers.
Model Competition Algorithms: Helps in choosing the most effective model.
KPI Forecast Systems: Monitors key performance indicators.
Use Cases & Applications
Production Planning: Accurate forecasts help in optimizing production schedules.
Inventory Management: Better inventory planning reduces excess stock and shortages.
Supply Chain Optimization: Improved supply chain management leads to cost savings.
Business Performance: Enhanced decision-making boosts overall business performance.
