Inventory Management System with AI Agents (In Development))

An advanced inventory management system that uses AutoGen AI agents to handle complex inventory operations through natural language interactions.

Features

• Natural language interface for inventory operations
• Integrated AI agents for process automation
• Purchase Order management
• Goods Receipt handling
• Quality Control processes
• Stock management
• Real-time inventory tracking

Technology Stack

• Python 3.8+
• SQL Server
• AutoGen for AI agents
• Flask for API
• PYODBC for database connectivity

Setup

1. Create a virtual environment:

python -m venv env

2. Activate the virtual environment:

# Windows
.\env\Scripts\activate

# Unix/MacOS
source env/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Configure environment variables:

• Copy .env.example to .env
• Update database connection string and OpenAI API key

5. Setup database:

• Run the SQL scripts in the database folder
• Run test data setup if needed

Running the Application

1. Start the server:

python app.py

2. For testing with terminal interface:

python test_chat.py

Project Structure

inventory_management_system/
├── agents/                 # AI agent definitions
├── api/                   # API routes
├── core/                  # Core functionality
├── database/             # Database scripts and migrations
├── models/               # Data models
├── services/             # Business logic
├── static/               # Static files
├── templates/            # HTML templates
└── utils/                # Utility functions

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/YourFeature)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature/YourFeature)
5. Create a new Pull Request

License

MIT License - see LICENSE file for details