"Forecasting" refers to the prediction or estimation of future events or developments based on historical data, trends, and statistical models. In the business context, forecasting often involves predicting sales, demand, inventory levels, or other key metrics to support strategic decision-making and resource planning.
Typical functions of software in the "Forecasting" domain include:
Data analysis: The software analyzes historical data and identifies trends, patterns, and seasonal variations.
Statistical models: Using statistical algorithms and methods, the software generates forecasts for future developments, such as through regression analysis, time series analysis, or Monte Carlo simulations.
Automation: The software automates the forecasting process and adjusts automatically to changing data or conditions.
Visualization: The results of forecasting are presented visually to make them easily understandable and interpretable, such as through charts, graphs, or dashboards.
Scenario analysis: The software allows for the simulation of different scenarios and evaluates their impacts on the forecasted results.
Integration: The software can seamlessly integrate with other business applications or systems to leverage data from various sources and incorporate them into the forecasting models.
Adaptability: The software offers flexible settings and parameters to customize the forecasting models to the specific requirements and circumstances of the business.
Monitoring and updating: The software continuously monitors the accuracy of the forecasts and enables adjustments or updates as needed.