OpenText Core Content - Metadata - PimCore Integration and Automation

Common Integration Use Cases Between OpenText Core Content - Metadata and Pimcore

1. Master product metadata governance from Pimcore to OpenText Core Content - Metadata

Data flow: Pimcore ? OpenText Core Content - Metadata

Use Pimcore as the system of record for product attributes, then publish approved metadata schemas, controlled vocabularies, and validation rules into OpenText Core Content - Metadata. This ensures content teams classify product manuals, spec sheets, and marketing assets using the same approved product taxonomy.

• Reduces inconsistent tagging across content repositories
• Improves search accuracy for product documentation and assets
• Supports compliance by enforcing standardized metadata values

2. Enrich digital assets in Pimcore using governed metadata from OpenText Core Content - Metadata

Data flow: OpenText Core Content - Metadata ? Pimcore

Push approved metadata definitions from OpenText Core Content - Metadata into Pimcore to standardize how digital assets are classified and enriched. Marketing and product teams can then apply the same metadata structure when managing images, videos, datasheets, and campaign content in Pimcore.

• Speeds up asset onboarding and enrichment
• Aligns DAM metadata with enterprise governance standards
• Improves downstream reuse of assets across channels

3. Synchronize product content classification for omnichannel publishing

Data flow: Bi-directional

Integrate both platforms so product data in Pimcore and content metadata in OpenText Core Content - Metadata stay aligned for omnichannel delivery. For example, when a product category, brand, or market segment changes in Pimcore, the corresponding metadata rules in OpenText Core Content - Metadata can be updated to keep content classification consistent across web, mobile, and partner channels.

• Prevents mismatches between product data and content labels
• Supports faster publishing across multiple channels
• Reduces manual rework when product structures change

4. Automate approval workflows for regulated product content

Data flow: Pimcore ? OpenText Core Content - Metadata

When product teams update regulated attributes in Pimcore, trigger metadata-driven review and approval workflows in OpenText Core Content - Metadata for associated content such as labels, compliance documents, and technical sheets. This is especially useful in industries with strict product disclosure or labeling requirements.

• Improves governance over regulated content
• Creates traceable review paths for audits
• Ensures only approved metadata is used in published materials

5. Improve search and retrieval of product assets and documents

Data flow: OpenText Core Content - Metadata ? Pimcore

Use OpenText Core Content - Metadata to enforce rich classification on content, then expose that metadata to Pimcore so product managers, marketers, and eCommerce teams can quickly find the right assets by product line, region, language, or campaign. This reduces time spent searching for approved content and improves reuse.

• Shortens asset discovery time for business users
• Increases reuse of approved content and product media
• Supports more accurate filtering in Pimcore interfaces

6. Standardize regional and channel-specific product variants

Data flow: Pimcore ? OpenText Core Content - Metadata

Publish product variant metadata from Pimcore, such as country, language, channel, or packaging type, into OpenText Core Content - Metadata so content teams can classify localized documents and assets correctly. This is valuable for organizations managing multiple markets with different product requirements.

• Supports localized content operations
• Reduces errors in regional asset assignment
• Helps teams manage variant-specific documentation at scale

7. Create a single reporting view for product content governance

Data flow: Bi-directional

Combine metadata from both platforms to produce governance reports showing which products have complete content coverage, which assets are missing required classifications, and where metadata quality issues exist. Business teams can use this to monitor readiness for launches and identify gaps in product content operations.

• Improves visibility into content completeness
• Helps prioritize remediation before product launches
• Supports operational reporting for product, marketing, and compliance teams