OpenText Internet of Things Platform - OpenText Product Traceability Integration and Automation

Common Integration Use Cases Between OpenText Internet of Things Platform and OpenText Product Traceability

1. Real-Time Batch and Asset Traceability from Connected Equipment

Data flow: OpenText Internet of Things Platform - OpenText Product Traceability

Sensor data from production lines, packaging machines, or warehouse equipment is streamed into OpenText Product Traceability to create a complete record of which assets, batches, and serial numbers were processed under specific operating conditions. This helps manufacturers quickly identify affected lots when a machine deviation occurs and supports faster root-cause analysis during quality investigations.

• Links machine telemetry to product genealogy records
• Improves recall precision by narrowing impacted inventory
• Supports audit-ready traceability across production events

2. Automated Quality Exception Tracking for Production Deviations

Data flow: OpenText Internet of Things Platform - OpenText Product Traceability

When IoT sensors detect temperature excursions, vibration anomalies, or line stoppages, the event is sent to OpenText Product Traceability to flag the associated product units or batches as potentially nonconforming. Quality teams can then review the traceability record, quarantine affected items, and document disposition decisions in a controlled workflow.

• Reduces manual review of production exceptions
• Speeds containment of suspect inventory
• Creates a documented quality trail for compliance teams

3. Condition-Based Traceability for Cold Chain and Sensitive Goods

Data flow: OpenText Internet of Things Platform - OpenText Product Traceability

For pharmaceuticals, food, and other temperature-sensitive products, IoT devices monitor environmental conditions during storage and transport. OpenText Product Traceability receives these readings and associates them with shipment IDs, pallet IDs, or serial numbers so operations teams can prove product integrity and identify any shipments exposed to out-of-range conditions.

• Supports cold chain compliance and product integrity checks
• Enables shipment-level exception handling
• Improves customer confidence with verifiable handling history

4. End-to-End Genealogy for Serialized Manufacturing

Data flow: Bi-directional

OpenText Product Traceability maintains the genealogy of raw materials, components, and finished goods, while OpenText Internet of Things Platform provides live equipment and process data from the manufacturing floor. Together, they create a richer genealogy record that ties each serialized unit to the exact machine, line, and process conditions used during production.

• Combines product lineage with process context
• Helps engineering teams analyze yield and defect patterns
• Improves traceability for regulated and high-value products

5. Recall Impact Analysis Using Equipment and Process History

Data flow: OpenText Product Traceability - OpenText Internet of Things Platform

When a product defect is identified, OpenText Product Traceability can send affected lot, batch, or serial information to OpenText Internet of Things Platform to retrieve the corresponding equipment history, sensor trends, and operating conditions. This gives quality and manufacturing teams a faster way to determine whether the issue was isolated or systemic.

• Accelerates root-cause investigations
• Identifies patterns across machines, shifts, or sites
• Supports more accurate recall scope decisions

6. Compliance Reporting for Regulated Production and Distribution

Data flow: Bi-directional

OpenText Internet of Things Platform captures operational evidence such as temperature, humidity, runtime, and location, while OpenText Product Traceability stores the product history required for regulatory reporting. Integration allows compliance teams to generate complete evidence packages that show both product movement and environmental conditions across the full lifecycle.

• Reduces time spent assembling audit documentation
• Improves readiness for regulatory inspections
• Provides a single source of truth for traceability evidence

7. Exception-Driven Workflow for Warehouse and Logistics Operations

Data flow: OpenText Internet of Things Platform - OpenText Product Traceability

IoT-enabled warehouse devices such as scanners, forklifts, and environmental monitors can trigger traceability events when goods are moved, delayed, or exposed to abnormal conditions. OpenText Product Traceability then updates shipment status and alerts logistics, quality, and customer service teams so they can intervene before product integrity or delivery commitments are affected.

• Improves visibility across storage and transit stages
• Enables faster response to logistics exceptions
• Supports coordinated action across warehouse and quality teams

8. Continuous Improvement Analytics Across Product and Equipment Data

Data flow: Bi-directional

OpenText Internet of Things Platform supplies operational metrics from connected assets, and OpenText Product Traceability contributes product outcome data such as defects, holds, and returns. By combining both datasets, operations and quality leaders can identify which equipment conditions, process settings, or site practices are most closely linked to traceability events and product failures.

• Helps prioritize maintenance and process improvements
• Connects operational performance to product quality outcomes
• Supports data-driven decisions across manufacturing and quality teams