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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!
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