OpenText Active Community - Trading Grid - Loci Integration and Automation

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

OpenText Active Community - Trading Grid is designed to support collaboration across trading partners, making it well suited for issue resolution, document sharing, and coordinated B2B workflows. Loci adds AI-driven content recommendations based on user behavior and content analysis, helping users find the most relevant information faster. Together, they can improve partner engagement, reduce manual searching, and streamline communication across distributed business networks.

1. Contextual document recommendations for trading partner communities

Data flow: OpenText Active Community - Trading Grid to Loci, then Loci back to OpenText Active Community - Trading Grid

When a partner user opens a community page, case thread, or document repository in Trading Grid, Loci can analyze the user?s role, recent activity, and content metadata to recommend the most relevant documents, FAQs, policies, or prior issue resolutions. This helps users quickly find shipment instructions, compliance documents, or dispute-related references without manually searching through large partner libraries.

Business value: Faster access to relevant content, reduced support effort, and improved partner self-service.

2. Personalized issue resolution content for partner support teams

Data flow: OpenText Active Community - Trading Grid to Loci

Support teams managing B2B exceptions, claims, or transaction disputes can receive AI-generated recommendations for similar past cases, resolution templates, and related documents based on the current issue topic. For example, if a partner raises a pricing discrepancy, Loci can surface prior cases involving the same trading partner, product line, or region.

Business value: Shorter resolution times, more consistent responses, and better reuse of institutional knowledge.

3. Role-based content personalization for partner onboarding

Data flow: OpenText Active Community - Trading Grid to Loci

During onboarding, Trading Grid can provide Loci with partner profile data such as partner type, geography, product category, and transaction model. Loci can then recommend tailored onboarding content, such as setup guides, EDI specifications, compliance checklists, and training materials relevant to that partner?s operational needs.

Business value: Faster onboarding, fewer setup errors, and improved adoption across new trading partners.

4. Recommended next actions in partner collaboration workflows

Data flow: Bi-directional

As users collaborate in Trading Grid on a transaction issue, Loci can recommend the next best content or action based on the conversation context. For example, after a document rejection, the system can suggest corrective instructions, a related policy article, or a standard response template. Trading Grid can also send workflow events back to Loci so recommendations stay aligned with the current stage of the collaboration.

Business value: More efficient case handling, fewer missed steps, and better workflow consistency.

5. Intelligent surfacing of compliance and policy updates

Data flow: OpenText Active Community - Trading Grid to Loci

When compliance teams publish updated trade policies, packaging requirements, or regulatory notices in Trading Grid, Loci can identify which partner users are most likely to need that information and recommend it proactively. This is especially useful for organizations operating across multiple regions or product categories where policy changes affect different partner groups differently.

Business value: Better policy awareness, reduced compliance risk, and fewer operational disruptions.

6. Content recommendations based on partner behavior and collaboration patterns

Data flow: OpenText Active Community - Trading Grid to Loci

Loci can analyze how partner users interact with Trading Grid, including which documents they view, which issues they follow, and which topics they engage with most often. Based on this behavior, it can recommend related content such as troubleshooting guides, transaction templates, or partner announcements that match their operational focus.

Business value: Higher engagement, more relevant content delivery, and improved partner experience.

7. Knowledge reuse across recurring B2B transaction exceptions

Data flow: OpenText Active Community - Trading Grid to Loci

For recurring exceptions such as invoice mismatches, shipment delays, or order validation failures, Trading Grid can feed case history and document metadata into Loci. Loci can then recommend the most effective prior resolutions, escalation paths, and supporting documents to help teams resolve similar issues faster in the future.

Business value: Reduced repeat investigation effort, improved operational efficiency, and stronger knowledge retention.

8. Targeted partner communications and content campaigns

Data flow: Bi-directional

Trading Grid can provide partner segmentation data and interaction history, while Loci can determine which content is most relevant for each segment. This enables targeted distribution of announcements, process updates, training assets, or seasonal operational guidance to the right partner users at the right time.

Business value: More effective partner communications, better content relevance, and improved response rates.