Connect Commercetools with Catsy PIM to centralize product content, reduce manual SKU updates, and publish accurate PDP data across every channel with fewer errors.
• Product records, attributes, categories, variants, and media references are mapped between Catsy PIM/DAM and Commercetools product types and variant structures.
• Exports from Catsy are sent to Commercetools via API-based sync, with payloads typically scoped to changed entities to reduce reprocessing.
• Locale-specific fields in Catsy are mapped to Commercetools localized strings, keeping language and market values consistent per attribute.
• Digital assets are transferred as URLs or linked media, with Commercetools products receiving updated image and document associations after approval in Catsy.
• Validation rules in Catsy govern required fields and formatting before publish, and rejected records are held back from Commercetools until corrected.
• Sync runs are logged with entity-level status, timestamps, and error responses from Commercetools to support monitoring and retries.
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We map Catsy attributes and assets to Commercetools product types, variants, and channels, then move data via API-based sync or middleware. You can run scheduled exports, event-driven updates, or a mix, depending on catalog velocity.
Most teams sync titles, descriptions, attributes, categories, images, videos, PDFs, and localization fields. We also align identifiers like SKU, GTIN, and variant options to avoid broken joins downstream.
Yes, we model per-market catalogs using Commercetools channels, price and inventory scopes, and Catsy locale-specific content. This keeps translations, regional specs, and market-only assortments controlled in one workflow.
We set up validation rules in Catsy, strict product type governance in Commercetools, and a deterministic matching key strategy. Failed records go to an error queue with clear remediation steps, not silent overwrites.
Yes — we’ve delivered 2,100+ eCommerce projects since 2003, and we design integration layers that handle multiple sources, retries, and monitoring. The goal is stable data flows that keep releases and catalogs moving.














