Update README.md

README.md

@@ -1,37 +1,52 @@
 ---
-title: Agentic AI Procurement Demo
+title: AI Procurement Agent Demo
 emoji: 🤖
 colorFrom: blue
-colorTo: green
+colorTo: purple
 sdk: streamlit
-sdk_version: 1.28.0
+sdk_version: 1.29.0
 app_file: app.py
 pinned: false
 license: mit
 ---
 
-# Agentic AI Procurement Assistant Demo
+# 🤖 AI Procurement Agent Demo
 
-This demo showcases an advanced Reinforcement Learning-powered Agentic AI system for automated procurement decision-making.
+An intelligent procurement agent that leverages reinforcement learning (PPO) for optimal supplier selection and allocation decisions.
 
 ## Features
 
-- **Intelligent Decision Making**: Uses RL-trained models to make optimal procurement decisions
-- **Multi-Tool Integration**: Inventory checking, risk assessment, contract validation
-- **Real-time Analysis**: External data integration for supply chain disruptions
-- **Human-in-the-Loop**: Escalates complex scenarios to human experts
-- **Interactive Dashboard**: Beautiful Streamlit interface with real-time visualizations
+🎯 **Smart Supplier Selection**: Uses PPO (Proximal Policy Optimization) to make optimal allocation decisions
 
-## How to Use
+📊 **Real-time Market Analysis**: Considers volatility, demand changes, and price fluctuations
 
-1. Select a demo scenario from the sidebar
-2. Click "Execute Agent Decision" to see the AI in action
-3. View the agent's decision-making process and reasoning
-4. Explore the performance dashboard for model insights
+🔍 **Multi-criteria Optimization**: Balances cost, quality, delivery performance, financial risk, and ESG factors
 
-## Architecture
+🤖 **Autonomous Decision Making**: End-to-end procurement process automation
 
-- **RL Agent**: Custom Q-learning implementation for procurement optimization
-- **Tools**: Modular tools for inventory, risk, contracts, and execution
-- **Training Data**: 1000+ realistic procurement scenarios for model training
-- **UI**: Professional Streamlit interface with Plotly visualizations
+📈 **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!