📦 Inventory Adjustment Automation

Automate your daily inventory adjustment reporting with ease. This repository provides tools that utilize Python, SQL Server, and pandas to streamline the process of extracting, filtering, and exporting client-specific reports from WMS data. By implementing this solution, you can support your warehouse operations and ensure audit accuracy.

🚀 Table of Contents

• Features
• Technologies Used
• Getting Started
• Usage
• Contributing
• License
• Contact
• Releases

🌟 Features

• Automated Reporting: Schedule daily reports to save time and reduce manual errors.
• Client-Specific Filtering: Extract reports tailored to individual client needs.
• Data Export: Easily export reports to Excel for further analysis.
• Integration with WMS: Seamlessly connect to your Warehouse Management System for real-time data access.
• Audit Support: Ensure accuracy in inventory management with comprehensive reporting.

🛠️ Technologies Used

• Python: The core programming language for automation.
• pandas: For data manipulation and analysis.
• SQL Server: To manage and query the database.
• pyodbc: For connecting Python with SQL Server.
• Excel: For report exporting.

🏁 Getting Started

To get started with the Inventory Adjustment Automation project, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Elroigreatest/inventory-adjustment-automation.git

2. Install Required Packages: Navigate to the project directory and install the necessary Python packages:

   cd inventory-adjustment-automation
   pip install -r requirements.txt

3. Set Up Database Connection: Update the database connection settings in the configuration file to connect to your SQL Server instance.

4. Run the Script: Execute the main script to generate reports:

   python main.py

📊 Usage

Once you have set up the project, you can run the script to generate your inventory adjustment reports. The script will connect to your SQL Server, retrieve the necessary data, and filter it according to your specifications. The final report will be exported to an Excel file, ready for review.

Example Command

python main.py --client_id 123 --date_range "2023-01-01" "2023-01-31"

This command will generate a report for client ID 123 for the specified date range.

🤝 Contributing

We welcome contributions from the community! If you have suggestions for improvements or new features, please follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/YourFeature

3. Make your changes and commit them:

   git commit -m "Add new feature"

4. Push to the branch:

   git push origin feature/YourFeature

5. Open a pull request.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

📬 Contact

For any questions or feedback, feel free to reach out:

• Email: your-email@example.com
• GitHub: Elroigreatest

📥 Releases

You can find the latest releases and download the necessary files from the Releases section. Download the latest version and execute it to start automating your inventory adjustments.

For more detailed release notes, please check the Releases section.

🎉 Conclusion

The Inventory Adjustment Automation project is designed to make your inventory management easier and more accurate. By leveraging the power of Python, SQL Server, and pandas, you can automate daily reporting tasks and focus on what matters most: running your warehouse operations smoothly.

Thank you for checking out this repository! We hope it helps you streamline your inventory management processes. Happy coding!