BRIA AI - OpenText Active Community - Trading Grid Integration and Automation

Common Integration Use Cases Between BRIA AI and OpenText Active Community - Trading Grid

1. AI-Generated Product Images for Trading Partner Portals

Data flow: BRIA AI → OpenText Active Community - Trading Grid

Marketing or product teams can use BRIA AI to generate localized product images, seasonal visuals, or channel-specific variations, then publish approved assets into the Trading Grid community for distributors, resellers, and suppliers to access. This reduces the need to manually create and exchange image packs for each partner.

• Speeds up partner onboarding with ready-to-use visual assets
• Ensures all trading partners use approved, brand-compliant imagery
• Reduces back-and-forth on asset requests and revisions

2. Collaborative Resolution of Product Image Issues

Data flow: OpenText Active Community - Trading Grid → BRIA AI → OpenText Active Community - Trading Grid

When trading partners report issues such as missing product angles, outdated packaging, or incorrect background imagery, they can submit requests through the Trading Grid community. BRIA AI can then generate corrected or replacement visuals, and the updated assets can be shared back to the same community for review and approval.

• Improves turnaround time for partner-reported content issues
• Creates a traceable workflow for image corrections
• Supports faster resolution of catalog and listing discrepancies

3. Region-Specific Visual Adaptations for Global Partners

Data flow: BRIA AI → OpenText Active Community - Trading Grid

Organizations with international partner networks can use BRIA AI to create market-specific imagery, such as localized packaging contexts, seasonal settings, or culturally relevant backgrounds. These variations can be distributed through Trading Grid to regional distributors and channel partners for use in local campaigns and sales materials.

• Supports faster localization of visual content
• Helps partners launch campaigns with region-appropriate assets
• Reduces dependency on separate design cycles for each market

4. Partner-Requested Visual Variations for Campaign Execution

Data flow: OpenText Active Community - Trading Grid → BRIA AI → OpenText Active Community - Trading Grid

Trading partners often need different image versions for promotions, marketplaces, or customer segments. Through the community, partners can request specific visual variations, such as alternate backgrounds, product placements, or promotional compositions. BRIA AI generates the requested versions, and the final assets are returned to the community for distribution.

• Improves responsiveness to partner marketing needs
• Standardizes how visual requests are captured and fulfilled
• Enables scalable asset customization without manual design work

5. Shared Visual Asset Library for B2B Transactions

Data flow: BRIA AI → OpenText Active Community - Trading Grid

BRIA AI can enrich a shared Trading Grid document or asset repository with approved product images, lifestyle visuals, and alternate views that support B2B selling and order processing. Trading partners can access the latest approved visuals alongside related documents such as product sheets, compliance files, and promotional materials.

• Creates a single source of truth for partner-facing visual assets
• Reduces use of outdated or inconsistent product images
• Improves partner self-service and document access

6. Faster Content Approval Across Partner Ecosystems

Data flow: BRIA AI → OpenText Active Community - Trading Grid → BRIA AI

Generated images can be routed into the Trading Grid community for partner review, feedback, and approval before release. If changes are needed, comments and approval notes can be sent back to BRIA AI workflows for regeneration or refinement. This creates a controlled review cycle for externally shared visual content.

• Supports governance and brand control for partner-distributed assets
• Reduces approval delays across distributed teams
• Improves auditability of content decisions

7. Exception Handling for Product Content in B2B Orders

Data flow: OpenText Active Community - Trading Grid → BRIA AI

When a trading partner raises an exception related to product presentation, such as missing imagery for a new SKU or a mismatch between catalog and order documentation, the issue can be logged in Trading Grid and sent to BRIA AI for rapid image generation or correction. This helps keep product content aligned with transaction activity.

• Reduces delays caused by incomplete product visuals
• Improves consistency between order data and supporting content
• Helps operations teams resolve content gaps without manual design queues

8. Co-Branded and Channel-Specific Sales Materials

Data flow: BRIA AI → OpenText Active Community - Trading Grid

For strategic partners, BRIA AI can generate co-branded imagery, channel-specific banners, or campaign visuals tailored to a partner’s requirements. These assets can then be shared through Trading Grid to support joint promotions, reseller programs, and partner-led demand generation.

• Accelerates creation of partner-ready sales collateral
• Improves consistency across co-marketing efforts
• Supports scalable channel marketing without increasing design workload