Google Vision AI - OpenText Active Documents Trading Grid Integration and Automation

Common Integration Use Cases Between Google Vision AI and OpenText Active Documents Trading Grid

Google Vision AI and OpenText Active Documents Trading Grid complement each other well in document-heavy trading partner environments. Google Vision AI can extract meaning from scanned or image-based documents, while OpenText Active Documents Trading Grid can securely route those documents and related transactions across suppliers, distributors, carriers, and customers with full auditability. Together, they reduce manual data entry, improve document accuracy, and accelerate B2B workflows.

1. Automated extraction of purchase order data from scanned partner documents

Data flow: OpenText Active Documents Trading Grid to Google Vision AI, then back to OpenText Active Documents Trading Grid

When suppliers send purchase orders as scanned PDFs or image attachments through the trading grid, Google Vision AI can perform OCR to extract key fields such as PO number, line items, ship-to address, dates, and totals. The extracted data is then returned to OpenText Active Documents Trading Grid for validation, routing, and posting into downstream ERP or procurement systems.

• Reduces manual keying from faxed or scanned orders
• Improves order processing speed and accuracy
• Supports exception handling for missing or unreadable fields

2. Invoice capture and validation for accounts payable automation

Data flow: OpenText Active Documents Trading Grid to Google Vision AI, then bi-directional with ERP and trading partners

Invoices received from suppliers through OpenText Active Documents Trading Grid can be sent to Google Vision AI to extract invoice header and line-level details from image-based documents. The extracted values can be matched against purchase orders and goods receipts, with discrepancies flagged for AP review. Approved invoices are then routed back through the trading grid for compliant exchange and archival.

• Speeds up invoice intake and 3-way match processes
• Reduces duplicate payments and data entry errors
• Improves visibility into invoice exceptions and aging

3. Shipping notice and packing slip digitization for logistics reconciliation

Data flow: OpenText Active Documents Trading Grid to Google Vision AI to OpenText Active Documents Trading Grid

Carriers and suppliers often send shipping notices, packing slips, or delivery confirmations as scanned documents or image attachments. Google Vision AI can extract shipment identifiers, carton counts, item references, and delivery dates. OpenText Active Documents Trading Grid can then distribute the structured data to warehouse, transportation, and customer service teams to reconcile shipments against orders and identify shortages or delays.

• Improves inbound and outbound shipment visibility
• Supports faster discrepancy resolution at receiving docks
• Enables more accurate customer status updates

4. Compliance screening of image-based trade documents

Data flow: OpenText Active Documents Trading Grid to Google Vision AI, then to compliance workflows

In regulated supply chains, trading partners may submit certificates, customs forms, labels, or declarations as scanned images. Google Vision AI can extract text from these documents and help identify missing fields, expired dates, or noncompliant wording. OpenText Active Documents Trading Grid can route flagged documents to compliance teams before they are accepted into the transaction flow.

• Reduces risk of accepting incomplete or noncompliant documents
• Supports audit-ready document handling
• Helps standardize review of partner-submitted paperwork

5. Automated indexing and search of partner document archives

Data flow: OpenText Active Documents Trading Grid to Google Vision AI, then metadata back to OpenText Active Documents Trading Grid

Documents exchanged through the trading grid can be processed by Google Vision AI to detect document type, extract text, and identify key entities such as supplier names, order numbers, shipment references, and dates. This metadata can be written back into OpenText Active Documents Trading Grid to improve indexing, search, and retrieval across large partner document repositories.

• Makes historical documents easier to find and reuse
• Reduces time spent searching for transaction records
• Improves support for audits, disputes, and customer inquiries

6. Exception handling for unreadable or incomplete partner submissions

Data flow: OpenText Active Documents Trading Grid to Google Vision AI, then back to OpenText Active Documents Trading Grid

If a supplier submits a low-quality scan, handwritten form, or partially obscured document, Google Vision AI can assess text quality and extract whatever content is readable. OpenText Active Documents Trading Grid can then trigger an exception workflow to request resubmission, notify the trading partner, or route the document to a manual review queue.

• Prevents transaction delays caused by poor document quality
• Creates a controlled process for exceptions and rework
• Improves partner communication and service levels

7. Automated processing of proof of delivery and claims documentation

Data flow: OpenText Active Documents Trading Grid to Google Vision AI to claims or dispute systems

Proof of delivery forms, damage reports, and claims documents are often received as scanned images from carriers or customers. Google Vision AI can extract signatures, dates, reference numbers, and damage descriptions. OpenText Active Documents Trading Grid can then distribute the structured information to claims management, customer service, or finance teams to accelerate dispute resolution and settlement.

• Shortens claims cycle times
• Improves evidence capture for disputes
• Supports consistent processing across logistics partners

8. Supplier onboarding and document verification

Data flow: OpenText Active Documents Trading Grid to Google Vision AI, then to supplier master data or onboarding workflows

During supplier onboarding, trading partners may submit tax forms, insurance certificates, banking letters, and signed agreements as scanned documents. Google Vision AI can extract the relevant fields and detect document type, while OpenText Active Documents Trading Grid securely routes the documents for approval and retention. This helps onboarding teams verify completeness before activating the supplier in downstream systems.

• Speeds up supplier setup and activation
• Reduces onboarding errors and missing documentation
• Improves governance over partner master data creation

Overall, integrating Google Vision AI with OpenText Active Documents Trading Grid creates a practical automation layer for document-intensive B2B operations. The result is faster processing, better data quality, stronger compliance, and less manual effort across procurement, logistics, finance, and partner operations.