Inventory Management Web Application

Introduction

The Inventory Management Web Application is a Python-based web application built using the Dashly framework. It is designed to help businesses manage their inventory effectively, streamline supplier relationships, and generate analytics and reports for informed decision-making.

Features

• User Authentication: Secure user login and role-based access control to restrict functionalities based on user roles.
• Product Management: Add, remove, update, and view product details, including reorder levels.
• Supplier Management: Add, remove, update, and view supplier information and product catalogs.
• Order Management: Place orders for products, track order history, and view upcoming deliveries.
• Analytics and Reporting: Calculate total revenue, generate product status reports, and create customizable reports.

Prerequisites

• Python 3.x
• Dashly framework
• Flask (for backend)
• Relational Database (e.g., PostgreSQL, MySQL) with SQLAlchemy

Getting Started

1. Clone this repository to your local machine.

   git clone https://github.com/your-username/inventory-management-webapp.git

2. Install the required dependencies.

   pip install -r requirements.txt

3. Configure the database connection in config.py.

4. Run the application.

   python app.py

5. Access the web application in your browser at http://localhost:8050.

Usage

• Navigate through the web application using the provided user interface.
• Create user accounts with different roles (e.g., managers, employees) for role-based access control.

Roadmap

This project is actively maintained and may receive updates and improvements in the future. Planned enhancements include:

• Integration with external inventory systems.
• Advanced analytics and visualization features.

Contributing

Contributions to the Inventory Management Web Application are welcome! Please refer to our contribution guidelines for more information.

License

This project is licensed under the MIT License.

Acknowledgments

We would like to thank the Dashly and Flask communities for their excellent frameworks and documentation.

Support

For questions, issues, or feedback, please open an issue.