Likewize
Integration Layer

GTP Integration Layer

How the Global Trade Platform integrates with other systems and platforms.

Integration Architecture

The GTP Integration Layer provides a standardized way for external systems to interact with the Global Trade Platform. It uses a combination of REST APIs, webhooks, and event-driven architecture to enable seamless integration.

Key Components:

  • API Gateway for centralized access control
  • Event Bus for asynchronous communication
  • Transformation Services for data mapping
  • Monitoring and Logging Services
Integration Patterns

GTP supports multiple integration patterns to accommodate different system requirements and use cases.

Supported Patterns:

  • Request-Response (Synchronous)
  • Publish-Subscribe (Asynchronous)
  • Event-Driven Architecture
  • Batch Processing
  • Webhook Notifications
Supported Systems

The GTP Integration Layer connects with various internal and external systems to provide a comprehensive trade management solution.

Integrated Systems:

  • ERP Systems
  • CRM Platforms
  • Inventory Management Systems
  • Logistics and Shipping Providers
  • Payment Processors
  • Compliance and Regulatory Systems
Data Exchange Formats

GTP supports multiple data exchange formats to facilitate integration with different systems and platforms.

Supported Formats:

  • JSON (Primary format)
  • XML
  • CSV for batch operations
  • EDI for legacy systems

All data exchanges are secured using TLS encryption and authenticated using OAuth 2.0 tokens.

Integration Best Practices

Follow these best practices when integrating with the Global Trade Platform:

  • Use Webhooks for Real-time Updates:

    Subscribe to webhooks to receive real-time notifications about trade status changes and other events.

  • Implement Proper Error Handling:

    Design your integration to handle API errors gracefully and implement retry mechanisms for transient failures.

  • Follow API Rate Limits:

    Respect the rate limits specified in the API documentation to ensure fair usage and system stability.

  • Use Pagination for Large Data Sets:

    When retrieving large data sets, use pagination parameters to improve performance and reduce load.