Integration
Custom Integration
Design custom integrations around operational ownership, publish requirements, and data-quality controls instead of one-off scripts.
Last updated: 2026-03-21
What syncs
- ERP, PLM, DAM, CMS, marketplace middleware, or partner systems
- Selective product, asset, and workflow data depending on business need
Directionality and supported entities
- Inbound source-system ingestion
- Outbound publish-ready syndication
- Bidirectional sync only when authority is explicitly defined
- Products
- Variants
- Reference data
- Assets
- Workflow status
Mapping behavior and scheduling
- Document transformations and mandatory-field expectations
- Treat channel- or partner-specific logic as explicit mapping layers
- Batch windows for low-risk bulk movements
- Event-driven flows where fast downstream updates matter
Auth, setup, and retry handling
- Define pilot scope and data owners before engineering the connector
- Test with real records, edge cases, and exception paths
- Create named escalation paths for failed jobs
- Separate temporary transport failures from product-data quality failures
Related docs and commercial pages
Integration FAQs
Should custom integrations start with a large rollout?
Usually no. Start with a narrow pilot that proves mapping, validation, and operational ownership.
What makes custom connectors maintainable?
Stable contracts, versioned mappings, monitoring, and explicit business owners keep custom connectors maintainable.
Need to scope the custom integration rollout?
We can help define mapping ownership, publish rules, retry handling, and the right pilot scope for your team.