OpenText Trading Grid Cartographer - OpenText Internet of Things Platform Integration and Automation

Common Integration Use Cases Between OpenText Trading Grid Cartographer and OpenText Internet of Things Platform

1. End to End Visibility for IoT Device Data Exchanges

Data flow: OpenText Internet of Things Platform to OpenText Trading Grid Cartographer

Use the IoT platform to ingest sensor and device data from factories, warehouses, or field assets, then publish the resulting enterprise integration flows into Trading Grid Cartographer for mapping and visibility. This gives integration and operations teams a clear view of how device events move into ERP, MES, WMS, or analytics systems through EDI or API interfaces.

• Improves traceability from device event to business system
• Helps teams document IoT integration dependencies
• Supports faster troubleshooting when sensor feeds fail or change

2. Impact Analysis for Connected Operations Changes

Data flow: OpenText Trading Grid Cartographer to OpenText Internet of Things Platform

When a partner interface, API endpoint, or EDI mapping changes in Trading Grid Cartographer, the integration metadata can be used to identify downstream IoT workflows that may be affected. This is valuable when device telemetry triggers replenishment, maintenance, or shipment workflows that depend on external trading partner exchanges.

• Reduces risk during interface changes
• Identifies affected IoT-driven business processes before deployment
• Supports coordinated change management across integration and operations teams

3. Real Time Exception Handling for Asset Monitoring

Data flow: OpenText Internet of Things Platform to OpenText Trading Grid Cartographer

When IoT sensors detect exceptions such as temperature excursions, equipment failure, or location deviations, the event can be routed through enterprise integrations tracked in Trading Grid Cartographer to notify partners or trigger corrective transactions. For example, a cold chain alert can initiate a shipment hold, customer notification, or expedited replacement order through connected B2B channels.

• Connects operational alerts to partner transactions
• Improves response time for service and logistics exceptions
• Creates a documented audit trail of exception related integrations

4. Partner Onboarding for IoT Enabled Supply Chain Programs

Data flow: Bi directional

Trading Grid Cartographer can be used to document and standardize partner integration patterns for IoT enabled programs, while the IoT platform handles device data ingestion and event processing. This is useful when onboarding suppliers, carriers, or service providers that must exchange telemetry, status updates, or asset condition data with the enterprise.

• Speeds onboarding by reusing proven integration patterns
• Improves consistency across partner and device integrations
• Supports governance for large scale supply chain connectivity

5. Maintenance Workflow Automation for Connected Equipment

Data flow: OpenText Internet of Things Platform to OpenText Trading Grid Cartographer to enterprise systems

IoT alerts from connected equipment can trigger maintenance requests, spare parts orders, or service notifications through B2B integrations documented in Cartographer. This is especially useful in manufacturing and utilities where device health data must flow into ERP, field service, or procurement systems.

• Automates maintenance and parts replenishment workflows
• Improves uptime by reducing manual intervention
• Provides visibility into which integrations support service execution

6. Operational Troubleshooting Across Device and Partner Networks

Data flow: Bi directional

When a business process fails, teams can use Trading Grid Cartographer to trace whether the issue is in the partner integration layer, then correlate that with IoT platform data to determine whether the root cause is a missing device event, delayed sensor transmission, or downstream mapping issue. This shortens resolution time for complex incidents spanning devices and external partners.

• Speeds root cause analysis across multiple systems
• Reduces downtime caused by unclear failure points
• Improves collaboration between integration, operations, and support teams

7. Compliance and Audit Support for Regulated IoT Data Flows

Data flow: OpenText Internet of Things Platform to OpenText Trading Grid Cartographer

In regulated environments such as utilities, pharmaceuticals, or food logistics, IoT data may need to be exchanged with external parties under strict controls. The IoT platform can capture the data, while Trading Grid Cartographer documents the partner routes, message mappings, and dependencies needed for audit readiness and compliance reviews.

• Improves auditability of regulated data exchanges
• Documents who receives device data and how it is transformed
• Supports governance and compliance reporting

8. Performance Optimization of High Volume IoT to B2B Integrations

Data flow: OpenText Trading Grid Cartographer to OpenText Internet of Things Platform

As IoT deployments scale, integration teams can use Trading Grid Cartographer to identify bottlenecks, redundant routes, and unnecessary partner hops in the data path. This helps optimize how high volume telemetry is routed into enterprise systems, reducing latency and improving reliability for near real time operations.

• Identifies inefficient integration paths
• Supports scaling of IoT data exchange with enterprise systems
• Improves reliability for time sensitive operational processes