graph TB %% Buyer Side subgraph "Buyer Ecosystem" User[👤 User] BuyerAgent[🤖 Buyer Agent] UserData[📊 User Profile
• Net worth signals
• Spending patterns
• Travel urgency
• Risk tolerance] end %% Market Intelligence Layer subgraph "Market Intelligence" DataBrokers[📈 Data Brokers
• Credit scores
• Social graphs
• Location data
• Purchase history] MarketData[🌐 Market Conditions
• Supply/demand
• Competitor pricing
• Event calendars
• Weather/disruptions] end %% Seller Side subgraph "Seller Ecosystem" SellerAgent[🤖 Seller Agent] PricingEngine[⚙️ Dynamic Pricing Engine
• Demand forecasting
• Competitor analysis
• Revenue optimization
• Risk assessment] Inventory[🏨 Inventory System
• Real-time availability
• Occupancy curves
• Booking patterns] end %% Transaction Flow User --> |"Need: Room in Tashkent"| BuyerAgent BuyerAgent --> |Query profile| UserData BuyerAgent --> |"Booking request + context"| SellerAgent SellerAgent --> |Analyze buyer| DataBrokers SellerAgent --> |Check market| MarketData SellerAgent --> |Optimize price| PricingEngine PricingEngine --> |Check capacity| Inventory SellerAgent --> |"Price: $215
Hold: 10min"| BuyerAgent BuyerAgent --> |"Evaluate alternatives"| MarketData BuyerAgent --> |"Auto-accept
#40;no alternatives#41;"| SellerAgent SellerAgent --> |"Booking confirmed"| User %% Data flows DataBrokers -.-> UserData MarketData -.-> PricingEngine %% Styling classDef buyer fill:#e1f5fe classDef seller fill:#fff3e0 classDef market fill:#f3e5f5 classDef transaction fill:#e8f5e8 class User,BuyerAgent,UserData buyer class SellerAgent,PricingEngine,Inventory seller class DataBrokers,MarketData market

Agentic Personalized Pricing System Explained