OpenText Decision Service - OpenText Product Traceability Integration and Automation

Common Integration Use Cases Between OpenText Decision Service and OpenText Product Traceability

OpenText Decision Service provides centralized, rule-based decision automation, while OpenText Product Traceability captures product genealogy, lot and serial tracking, and chain-of-custody information across the supply chain and manufacturing lifecycle. Together, they support faster, more consistent decisions based on product history, compliance status, and quality events.

• Automated release or hold decisions for finished goods

  Data flow: OpenText Product Traceability - OpenText Decision Service

  When a lot or serial number is completed, Product Traceability sends genealogy, inspection, and compliance data to Decision Service. The rules engine determines whether the product can be released, must be held for review, or requires additional testing based on criteria such as supplier source, batch exceptions, or missing quality records. This reduces manual QA review time and improves shipment accuracy.

• Recall scope determination and containment actions

  Data flow: OpenText Product Traceability - OpenText Decision Service

  When a defect is identified, Product Traceability provides full upstream and downstream trace data to Decision Service. The rules engine evaluates affected lots, distribution channels, customer locations, and regulatory thresholds to determine recall scope and trigger containment actions. This helps teams isolate impacted inventory faster and minimize recall cost.

• Supplier quality risk-based inspection routing

  Data flow: OpenText Product Traceability - OpenText Decision Service

  Product Traceability supplies supplier, material, and lot history to Decision Service, which applies rules to classify incoming materials by risk level. High-risk suppliers or materials can be routed to enhanced inspection, while trusted sources may follow standard receiving controls. This improves inspection efficiency and focuses resources where they are most needed.

• Nonconformance disposition based on product genealogy

  Data flow: OpenText Product Traceability - OpenText Decision Service

  When a nonconformance is logged, Product Traceability provides affected component and process history to Decision Service. The rules determine whether the item should be reworked, scrapped, quarantined, or conditionally accepted based on product type, defect severity, and downstream impact. This standardizes disposition decisions and reduces cycle time in quality operations.

• Regulatory compliance validation before shipment

  Data flow: OpenText Product Traceability - OpenText Decision Service

  Before goods are shipped, Product Traceability sends compliance attributes such as serialization status, country-of-origin data, and required certifications to Decision Service. The rules engine validates whether all mandatory traceability and regulatory conditions are met for the destination market. This prevents noncompliant shipments and reduces customs or audit issues.

• Exception handling for missing or incomplete traceability records

  Data flow: OpenText Product Traceability - OpenText Decision Service

  If traceability records are incomplete, Product Traceability passes the exception details to Decision Service. The rules engine determines the next action, such as blocking shipment, opening a case, escalating to operations, or allowing conditional processing based on business policy. This creates a controlled response to data gaps instead of ad hoc manual decisions.

• Customer complaint triage using product history

  Data flow: OpenText Product Traceability - OpenText Decision Service

  When a complaint is received, Product Traceability provides the product genealogy, production date, supplier inputs, and distribution path to Decision Service. The rules engine classifies the complaint by severity, likely root cause, and required response path, such as warranty replacement, investigation, or regulatory escalation. This speeds up customer service and quality response coordination.

• Bi-directional quality event feedback for continuous rule improvement

  Data flow: OpenText Product Traceability - OpenText Decision Service - OpenText Product Traceability

  Product Traceability sends traceability and event data to Decision Service for automated decisions, and Decision Service returns decision outcomes such as hold, release, escalate, or inspect. Those outcomes can be written back to Product Traceability to enrich product records and support auditability. This bi-directional flow creates a closed-loop process that improves traceability, governance, and decision consistency across manufacturing and supply chain teams.