This repository contains the source code and documentation for an E-commerce Database Management System. The system provides a comprehensive solution for managing product information, orders, customers, and integrating machine learning algorithms for enhanced functionality.

• Product management: Add, update, and remove products, including pricing, descriptions, and inventory control.
• Order management: Process and track orders, manage order status, generate invoices, and handle returns/refunds.
• Customer management: Maintain customer profiles, contact information, and purchase history.
• Integration with payment gateways: Securely process customer transactions through multiple payment options.

• Backend: Python, Flask, SQL
• Frontend: HTML, CSS
• Database: MySQL

1. Clone the repository: git clone https://github.com/your-username/e-commerce-dbms.git
2. Install the required dependencies: pip install -r requirements.txt
3. Set up the database: Follow the instructions in the database-setup.md file.
4. Configure the necessary environment variables: Refer to config.py for required variables.
5. Run the application: python app.py
6. Access the application in your web browser: http://localhost:5000

• The docs directory contains detailed documentation on the system architecture, database schema, API endpoints, and machine learning integration.

In this blog post, we explore the evolution of E-commerce Database Management Systems (DBMS) and their crucial role in the growth of online retail. Discover how these advanced systems have addressed the challenges of handling vast amounts of data, ensuring security, and enabling seamless scalability. Learn about the innovative features powered by machine learning that drive personalized product recommendations, customer segmentation, demand forecasting, and more. Join us on this journey to uncover the potential of E-commerce DBMS in transforming the future of online shopping. Click the badge above to read the full blog.

Contributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request.

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