Azure AI Document Intelligence - OpenText Product Traceability Integration and Automation

Common Integration Use Cases Between Azure AI Document Intelligence and OpenText Product Traceability

Azure AI Document Intelligence and OpenText Product Traceability complement each other well in regulated, document-heavy supply chain and manufacturing environments. Azure AI Document Intelligence extracts structured data from invoices, certificates, shipping documents, and quality records, while OpenText Product Traceability manages end-to-end traceability across products, lots, batches, and compliance events. Together, they reduce manual entry, improve audit readiness, and strengthen operational control across procurement, production, quality, and logistics.

1. Automated capture of supplier certificates and batch documents into traceability records

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

Supplier certificates of analysis, certificates of conformity, and batch release documents are received as PDFs or scans. Azure AI Document Intelligence extracts key fields such as supplier name, lot number, material code, test results, and expiry dates, then sends the structured data to OpenText Product Traceability to attach to the relevant lot or batch record.

• Reduces manual data entry from supplier paperwork
• Speeds up material acceptance and release decisions
• Improves traceability completeness for audits and recalls

2. Invoice and packing slip validation against traceability and shipment records

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

Accounts payable and logistics teams receive invoices, packing slips, and delivery notes from suppliers or contract manufacturers. Azure AI Document Intelligence extracts line items, quantities, shipment references, and lot identifiers, which are matched against OpenText Product Traceability records to confirm what was shipped, received, and consumed in production.

• Supports three-way matching with better accuracy
• Flags discrepancies in quantity, lot, or shipment reference early
• Reduces payment delays and dispute resolution effort

3. Incoming quality inspection document processing and disposition workflow

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

Quality teams often review inspection reports, lab results, and nonconformance forms tied to incoming materials. Azure AI Document Intelligence extracts inspection outcomes, defect codes, measurements, and approval status, then updates OpenText Product Traceability so materials can be released, quarantined, or rejected based on documented evidence.

• Accelerates incoming inspection processing
• Creates a consistent digital record for quality decisions
• Improves compliance with controlled material handling procedures

4. Traceability enrichment from production batch records and shop floor documents

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

Manufacturing operations generate batch sheets, work orders, process logs, and operator sign-off forms. Azure AI Document Intelligence extracts timestamps, equipment IDs, operator names, process parameters, and batch references, then feeds OpenText Product Traceability to build a more complete genealogy of each finished product.

• Strengthens end-to-end product genealogy
• Supports faster root cause analysis during deviations
• Reduces reliance on manual transcription from paper records

5. Recall preparation using extracted document evidence linked to affected lots

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

When a quality issue or regulatory event occurs, teams must quickly identify impacted lots and gather supporting documents. Azure AI Document Intelligence extracts relevant identifiers from archived shipping records, supplier documents, and production paperwork, then links them to OpenText Product Traceability so recall teams can assemble a complete evidence set.

• Shortens recall assessment and containment time
• Improves confidence in affected product identification
• Supports faster regulator and customer response

6. Compliance document indexing for audit-ready traceability repositories

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

Organizations in food, pharma, chemicals, and industrial manufacturing often need to retain large volumes of compliance documentation. Azure AI Document Intelligence classifies and extracts metadata from certificates, test reports, transport documents, and release forms, then stores the indexed data in OpenText Product Traceability for searchable, audit-ready access.

• Makes traceability records easier to search and retrieve
• Reduces time spent preparing for audits and inspections
• Improves governance over regulated documentation

7. Bi-directional exception handling for missing or inconsistent traceability data

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

When documents are incomplete or contain mismatched identifiers, OpenText Product Traceability can flag exceptions that trigger reprocessing or review. Azure AI Document Intelligence can then re-extract data from the source document, while OpenText Product Traceability receives corrected values or exception notes for resolution.

• Creates a controlled exception management workflow
• Reduces manual investigation of document discrepancies
• Improves data quality across traceability records

8. Supplier performance analytics based on extracted document and traceability data

Data flow: Azure AI Document Intelligence - OpenText Product Traceability

Procurement and quality teams can combine extracted supplier document data with OpenText Product Traceability events to analyze late deliveries, missing certificates, recurring defects, and lot-level issues. Azure AI Document Intelligence provides the structured input from documents, while OpenText Product Traceability supplies the operational context for supplier scorecards and corrective actions.

• Enables more accurate supplier performance reporting
• Identifies recurring quality and compliance issues faster
• Supports supplier development and risk management programs