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Architecture Overview

The Stayzr Hotel Management System is built as a modern, multi-tenant SaaS application designed for seamless guest communication, scalability, security, and maintainability.

🏗️ System Architecture​

🎯 Core Principles​

1. Integration-First Design​

  • PMS Connectivity: Real-time sync with existing property management systems
  • Channel Manager Bridge: Unified inventory across all distribution channels
  • API Flexibility: Support for multiple PMS/CM providers through adapters
  • Data Consistency: Two-way synchronization with conflict resolution

2. Intelligent Communication​

  • Context-Aware AI: Understands guest history, preferences, and current booking
  • Multi-Channel Unified: Single conversation thread across all channels
  • Smart Routing: Automatic escalation to human agents when needed
  • Language Detection: Auto-translation for international guests

3. Multi-Tenancy & Scale​

  • Property Isolation: Complete data separation between properties
  • Shared Intelligence: AI models improve across all properties
  • Resource Optimization: Efficient use of compute and storage
  • Subscription Tiers: Feature access based on plan level

4. Security & Compliance​

  • Data Protection: GDPR/CCPA compliant data handling
  • PCI DSS Ready: Secure payment information handling
  • Audit Trails: Complete logging of all system actions
  • Role-Based Access: Granular permissions for staff

📊 Technology Stack​

Frontend​

  • Framework: Next.js 14 with App Router
  • UI Library: React 18 with TypeScript
  • Styling: Tailwind CSS + Framer Motion
  • State Management: TanStack Query + Context API
  • Mobile: Flutter for cross-platform mobile apps

Backend​

  • Runtime: Node.js 20+
  • Framework: Express.js with TypeScript
  • Database ORM: Prisma
  • Authentication: JWT with bcrypt
  • Validation: Zod for schema validation
  • File uploads: Multer + cloud storage

Database​

  • Primary: PostgreSQL 15+
  • Caching: Redis 7+
  • Search: PostgreSQL full-text search
  • File Storage: AWS S3 or compatible

Infrastructure​

  • Containerization: Docker + Docker Compose
  • Reverse Proxy: Nginx
  • Process Management: PM2
  • Monitoring: Grafana + Prometheus
  • Logging: Winston + ELK Stack

🔄 Data Flow​

1. Guest Communication Flow​

Guest Message (Widget/WhatsApp) → Chat Service → AI Intent Analysis
                                              ↓
                                    Context Enrichment (PMS Data)
                                              ↓
                                    AI Response Generation
                                              ↓
                                    Human Review (if needed)
                                              ↓
                                    Send Response → Guest

2. PMS/CM Integration Flow​

PMS Update → Webhook/API Poll → Sync Service → Data Validation
                                            ↓
                                    Update Local Database
                                            ↓
                                    Trigger Related Actions
                                            ↓
                                    Update AI Context

3. Booking Synchronization​

New Booking (Any Channel) → Channel Manager → PMS → Stayzr Sync
                                                 ↓
                                         Update Guest Profile
                                                 ↓
                                         Prepare AI Context
                                                 ↓
                                         Schedule Pre-Arrival Messages

4. Multi-Property Data Access​

Staff Request → Authenticate → Verify Property Access → Load Property Context
                                                    ↓
                                            Apply Data Filters
                                                    ↓
                                            Execute Operation
                                                    ↓
                                            Log Activity

🛡️ Security Architecture​

Authentication & Authorization​

  • JWT tokens with organization context
  • Role-based permissions with granular controls
  • Session management with Redis storage
  • Password policies and 2FA support

Data Protection​

  • Tenant isolation at the database level
  • Input validation and sanitization
  • SQL injection prevention through Prisma ORM
  • Rate limiting on API endpoints

Infrastructure Security​

  • HTTPS everywhere with TLS 1.3
  • CORS configuration for cross-origin requests
  • Security headers (HSTS, CSP, etc.)
  • Environment isolation (dev/staging/prod)

📈 Scalability Considerations​

Horizontal Scaling​

  • Stateless application servers for easy scaling
  • Load balancing across multiple instances
  • Database connection pooling with PgBouncer
  • CDN integration for static assets

Performance Optimization​

  • Query optimization with proper indexing
  • Caching strategies for frequently accessed data
  • Pagination for large datasets
  • Lazy loading for UI components

Resource Management​

  • Subscription-based limits on features and usage
  • Background job processing for heavy operations
  • File upload optimization with direct S3 uploads
  • Database maintenance with automated backups

🔧 Development Architecture​

Code Organization​

apps/
├── web/                 # Frontend application
├── backend/             # API server
├── ai-server/           # AI service
├── mobile-app/          # Flutter app
└── docs/               # Documentation

libs/
├── types/              # Shared TypeScript types
├── schemas/            # Validation schemas
├── ui/                 # Shared UI components
└── utils/              # Shared utilities

API Design​

  • RESTful conventions with consistent response formats
  • OpenAPI specifications for all endpoints
  • Versioning strategy with backward compatibility
  • Error handling with standardized error codes

Database Design​

  • Normalized schema with proper relationships
  • Audit trails for data changes
  • Soft deletes for data retention
  • Multi-tenant architecture with organization isolation

🚀 Deployment Architecture​

Environment Structure​

  • Development: Local development with Docker Compose
  • Staging: Production-like environment for testing
  • Production: High-availability deployment with redundancy

CI/CD Pipeline​

  • Source control: Git with feature branching
  • Automated testing: Unit, integration, and E2E tests
  • Build automation: Docker image creation
  • Deployment: Blue-green deployment strategy

Monitoring & Observability​

  • Application metrics: Response times, error rates
  • Infrastructure metrics: CPU, memory, disk usage
  • Business metrics: User activity, feature usage
  • Alerting: Automated alerts for critical issues

📚 Related Documentation​