Azure Computer Vision - OpenText Active Documents Trading Grid Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText Active Documents Trading Grid

Azure Computer Vision can add intelligent image and document analysis to OpenText Active Documents Trading Grid workflows, while OpenText Active Documents Trading Grid can provide secure, auditable B2B document exchange for the outputs and exceptions generated by Azure Computer Vision. Together, they support faster document processing, better compliance, and improved partner collaboration across supply chain and trading partner operations.

1. Automated invoice and shipping document capture from scanned partner files

Data flow: OpenText Active Documents Trading Grid to Azure Computer Vision

Trading partners send scanned invoices, packing slips, and shipping notices through OpenText Active Documents Trading Grid. Azure Computer Vision extracts key fields such as invoice number, PO number, ship-to address, line-item text, and dates using OCR. The extracted data is then returned to downstream finance, procurement, or ERP systems for validation and posting.

• Reduces manual data entry and document handling
• Speeds up accounts payable and logistics processing
• Improves accuracy for high-volume partner documents

2. Automated compliance checks on partner-submitted document images

Data flow: OpenText Active Documents Trading Grid to Azure Computer Vision, then back to OpenText Active Documents Trading Grid

When suppliers or logistics partners submit image-based documents, Azure Computer Vision can detect missing stamps, unreadable text, damaged pages, or incomplete forms. If issues are found, OpenText Active Documents Trading Grid can route the document back to the sender with an exception notice and audit trail for correction and resubmission.

• Improves document quality before transaction processing
• Reduces downstream disputes caused by incomplete paperwork
• Supports controlled exception handling with full traceability

3. Smart classification and routing of incoming B2B documents

Data flow: OpenText Active Documents Trading Grid to Azure Computer Vision

OpenText Active Documents Trading Grid receives mixed document types from trading partners, including purchase orders, advance ship notices, delivery receipts, and customs forms. Azure Computer Vision identifies document content and text patterns to classify each file automatically. The classification result can be used to route documents to the correct business team, workflow, or ERP transaction queue.

• Eliminates manual sorting of partner documents
• Improves turnaround time for procurement and logistics teams
• Supports scalable document intake across multiple partner formats

4. Exception management for unreadable or nonstandard partner documents

Data flow: Bi-directional

When OpenText Active Documents Trading Grid receives documents that fail validation or contain poor-quality scans, Azure Computer Vision can assess readability and extract partial data where possible. If confidence is low, OpenText Active Documents Trading Grid can notify the trading partner with specific exception details, such as missing fields or illegible sections, and request a corrected submission.

• Reduces manual investigation of document exceptions
• Improves partner communication with precise correction requests
• Helps maintain service levels in document-driven supply chains

5. Image-based proof of delivery and claims processing

Data flow: OpenText Active Documents Trading Grid to Azure Computer Vision

Delivery partners can submit signed proof of delivery forms, damaged goods photos, or exception images through OpenText Active Documents Trading Grid. Azure Computer Vision extracts text from signatures, labels, and handwritten notes, and can also identify visible damage or missing items in submitted photos. The results support claims processing, dispute resolution, and settlement workflows.

• Accelerates freight claims and delivery dispute handling
• Creates a more complete evidence record for audits
• Improves collaboration between logistics, customer service, and finance teams

6. Automated extraction of customs and regulatory document data

Data flow: OpenText Active Documents Trading Grid to Azure Computer Vision

For cross-border shipments, OpenText Active Documents Trading Grid can exchange customs declarations, certificates of origin, and compliance documents with external partners. Azure Computer Vision extracts key regulatory text and reference numbers from these documents so compliance teams can validate them against shipment records and flag missing or inconsistent information.

• Supports faster customs and trade compliance review
• Reduces risk of shipment delays due to incomplete documentation
• Improves visibility for compliance and trade operations teams

7. Partner document indexing for searchable audit archives

Data flow: OpenText Active Documents Trading Grid to Azure Computer Vision, then back to OpenText Active Documents Trading Grid

After documents are exchanged and processed, Azure Computer Vision can generate searchable metadata from images and scanned files, such as document type, reference numbers, dates, and key entities. OpenText Active Documents Trading Grid can store or reference this metadata to improve retrieval during audits, partner disputes, and operational reviews.

• Makes historical partner documents easier to search and retrieve
• Supports audit readiness and regulatory evidence requests
• Reduces time spent locating transaction records across teams

These integration patterns are especially valuable in manufacturing, logistics, and retail environments where document accuracy, speed, and traceability directly affect operational performance and partner satisfaction.