OpenText Active Documents Trading Grid - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Active Documents Trading Grid and Steg.ai

OpenText Active Documents Trading Grid is designed for secure, compliant B2B document exchange across trading partners, while Steg.ai adds AI-based image recognition, content classification, and content protection. Together, they can improve how organizations manage document-centric transactions that include visual assets, scanned files, labels, packaging images, and protected marketing or product content.

1. Automated tagging of inbound shipping and logistics documents with embedded images

When OpenText Active Documents Trading Grid receives shipping notices, packing slips, or proof-of-delivery documents that include product photos, labels, or scanned attachments, Steg.ai can analyze the visual content and apply tags such as product type, damage indicators, shipment condition, or document category. This improves searchability, downstream routing, and exception handling.

• Direction: OpenText Active Documents Trading Grid to Steg.ai
• Business value: Faster document classification and better visibility into shipment-related exceptions
• Typical users: Logistics operations, customer service, supply chain analysts

2. Protection and classification of shared product and packaging assets with trading partners

Manufacturers and retailers often exchange product images, packaging artwork, and compliance visuals through trading partner workflows. OpenText Active Documents Trading Grid can securely distribute these files, while Steg.ai can classify them and apply protection controls or usage tags before release. This helps ensure that only approved assets are shared and that sensitive content is handled according to policy.

• Direction: OpenText Active Documents Trading Grid to Steg.ai, then back to OpenText Active Documents Trading Grid
• Business value: Reduced risk of unauthorized asset use and improved governance over shared content
• Typical users: Brand management, legal, packaging, supplier management

3. AI-assisted indexing of scanned invoices, purchase orders, and supporting images

Many B2B transactions include scanned documents or image-based attachments that are difficult to classify using metadata alone. OpenText Active Documents Trading Grid can route these documents to Steg.ai for image recognition and content tagging, enabling automated indexing by document type, supplier, SKU, or transaction reference. This supports faster retrieval and more accurate audit trails.

• Direction: OpenText Active Documents Trading Grid to Steg.ai
• Business value: Improved document search, reduced manual indexing, and better transaction traceability
• Typical users: Accounts payable, procurement, shared services

4. Exception handling for damaged goods claims using image-based evidence

In supply chain dispute workflows, partners often exchange claims documents along with photos of damaged goods, cartons, or pallets. OpenText Active Documents Trading Grid can securely transmit the claim package, and Steg.ai can analyze the images to tag damage type, severity, and affected product areas. This enables faster triage, claims validation, and escalation to the right internal team.

• Direction: OpenText Active Documents Trading Grid to Steg.ai
• Business value: Shorter claims resolution cycles and improved consistency in dispute assessment
• Typical users: Quality assurance, claims management, logistics operations

5. Compliance review of regulated product documentation and visual evidence

For industries such as manufacturing, retail, and logistics, certain documents must include compliant labels, safety markings, or product imagery. OpenText Active Documents Trading Grid can distribute these documents to partners, while Steg.ai can inspect and tag images for required visual elements before approval or release. This helps reduce compliance gaps in partner-facing documentation.

• Direction: OpenText Active Documents Trading Grid to Steg.ai
• Business value: Better compliance control and fewer rejected submissions from trading partners
• Typical users: Compliance teams, product operations, supplier quality

6. Secure distribution of protected marketing and sales assets to channel partners

Organizations often share product photography, campaign visuals, and sales collateral with distributors and resellers. OpenText Active Documents Trading Grid can manage secure delivery and auditability, while Steg.ai can classify the assets, apply protection tags, and help enforce content usage rules. This supports controlled partner access to approved materials.

• Direction: Steg.ai to OpenText Active Documents Trading Grid, or bi-directional
• Business value: Stronger brand protection and more controlled partner content distribution
• Typical users: Marketing operations, channel management, brand governance

7. Enriched master data and partner onboarding workflows with visual asset intelligence

During supplier or trading partner onboarding, organizations may receive logos, facility photos, product images, and certification scans. OpenText Active Documents Trading Grid can collect and exchange these documents securely, while Steg.ai can classify the assets and extract useful tags for onboarding workflows. This helps teams quickly validate submissions and organize partner records.

• Direction: OpenText Active Documents Trading Grid to Steg.ai
• Business value: Faster onboarding and better organization of partner-submitted visual content
• Typical users: Supplier onboarding, master data management, procurement

Together, OpenText Active Documents Trading Grid and Steg.ai create a stronger workflow for secure document exchange and intelligent content handling, especially where business transactions depend on both structured documents and visual assets.