Demand-Forecasting is an end-to-end application that helps you predict sales over time. It uses Python to analyze synthetic time-series sales data. With this tool, you can generate and clean data, choose the best forecasting model, and evaluate its accuracy. It also provides detailed visualizations to showcase your results.
To get started with Demand-Forecasting, follow these steps:
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Download the application. Visit this page to download.
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Install the software. Once you have the file, double-click it to start the installation process. Follow the prompts on your screen.
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Open the application. After installation, find the Demand-Forecasting icon on your desktop or in your applications folder, and double-click to open it.
- Data Generation: Easily create synthetic sales data for testing.
- Data Cleaning: Prepare your data for analysis with simple tools.
- Model Selection: Automatically choose between ARIMA and SARIMA models using AIC.
- Evaluation Metrics: Evaluate forecasts using RMSE (Root Mean Square Error) and MAPE (Mean Absolute Percentage Error).
- 90-Day Forecasts: Generate predictions with confidence intervals.
- Visualizations: Create graphs to present your results clearly.
To run Demand-Forecasting, ensure your system meets the following requirements:
- Operating System: Windows 10 or later, macOS 10.15 or later, or Linux with Python support.
- Python Version: Python 3.6 or later installed on your machine.
- Storage: At least 100 MB of free disk space for installation.
- RAM: Minimum of 4 GB of RAM.
To download the latest version of Demand-Forecasting:
- Click here to visit the release page.
- Find the latest version listed.
- Click on the appropriate file for your operating system to begin downloading.
- Once downloaded, open the file to start the installation.
- Follow the installation prompts to complete the process.
After installing Demand-Forecasting, you'll find an easy-to-navigate interface:
- Load Data: Start by uploading your synthetic time-series sales data.
- Select a Model: Choose between ARIMA or SARIMA for forecasting.
- Run Forecasting: Click the 'Forecast' button to generate predictions.
- View Results: Analyze results with provided metrics like RMSE and MAPE.
- Visualize Data: Generate graphs to see trends in your data.
If you encounter any issues or have questions, reliable support is available. You can raise a topic in the Issues section of the repository, and someone from the community will assist you promptly.
Contributions are welcome! If you have ideas to improve the application, please fork the repo and submit a pull request. Ensure your code meets the project's style guidelines.
- Documentation: Detailed documentation is available within the repository to guide you through advanced settings and features.
- Training Videos: Video tutorials are available online to help you get started quickly.
Demand-Forecasting is open-source software. You may use it freely, but please give proper credit to the contributors.
Don't forget, you can download the latest version from this link. Enjoy predicting your sales with ease!