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title: AI Procurement Agent Demo | |
emoji: π€ | |
colorFrom: blue | |
colorTo: purple | |
sdk: streamlit | |
sdk_version: 1.29.0 | |
app_file: app.py | |
pinned: false | |
license: mit | |
# π€ AI Procurement Agent Demo | |
An intelligent procurement agent that leverages reinforcement learning (PPO) for optimal supplier selection and allocation decisions. | |
## Features | |
π― **Smart Supplier Selection**: Uses PPO (Proximal Policy Optimization) to make optimal allocation decisions | |
π **Real-time Market Analysis**: Considers volatility, demand changes, and price fluctuations | |
π **Multi-criteria Optimization**: Balances cost, quality, delivery performance, financial risk, and ESG factors | |
π€ **Autonomous Decision Making**: End-to-end procurement process automation | |
π **Interactive Visualization**: Real-time dashboards and performance metrics | |
## How It Works | |
1. **Market Analysis**: Analyzes current market conditions and volatility | |
2. **Supplier Evaluation**: Assesses suppliers across multiple dimensions | |
3. **AI Recommendation**: Uses trained PPO model for optimal allocation | |
4. **PO Generation**: Automatically creates purchase orders | |
5. **SAP Integration**: (Mocked) Integration with enterprise systems | |
## Technology Stack | |
- **Reinforcement Learning**: Stable-Baselines3 PPO | |
- **Agent Framework**: SmolagentS for tool orchestration | |
- **Visualization**: Plotly for interactive charts | |
- **Backend**: Python with NumPy/Pandas | |
- **Frontend**: Streamlit for web interface | |
## Usage | |
1. Adjust market parameters (volatility, demand, pricing) | |
2. Configure supplier settings | |
3. Click "Run Procurement Agent" | |
4. View AI recommendations and generated purchase orders | |
Perfect for demonstrating AI-driven procurement automation and intelligent supply chain management! | |