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PIM integration

FacetFlux for Pimcore catalogs

Add AI enrichment to your Pimcore data model. No plugin, no version lock — CSV export in, enriched CSV out.

The CSV workflow

1

Export from Pimcore

Use Pimcore's data exporter. Object classes, fields, classification stores — everything in your data model.

2

Send to FacetFlux

Upload to the dashboard or POST the export to the FacetFlux API. The AI maps your fields without manual schema work.

3

AI enriches

Fills missing attributes, normalizes units, classifies to ETIM and eCl@ss, generates BMEcat / ETIM xChange exports.

4

Import back into Pimcore

Re-import the enriched CSV via Pimcore's importer. Your Pimcore object model stays the source of truth.

What FacetFlux enriches for Pimcore catalogs

Per SKU, on every Pimcore export you run through the pipeline.

  • Missing technical specs — voltage, pressure, material, thread size, IP rating, the fields your Pimcore object class expects.
  • ETIM classification — assigns the correct class from ETIM 10.0 (5,640 classes) with feature values populated.
  • eCl@ss classification — maps to eCl@ss Release 16.0 8-digit subgroups with required properties.
  • BMEcat export — fully compliant BMEcat 2005 XML ready for distributor portals.
  • Data normalization — canonical units, value lists, GTIN validation across the catalog.
  • Multilingual product copy — DE / FR / IT / ES translations from your EN source, ready to re-import.

Why CSV beats a bundle

A Pimcore bundle would tie you to specific Pimcore versions. CSV doesn't.

  • Works with Pimcore Community Edition and Enterprise, including PIM / MDM / DAM combinations.
  • No Pimcore Marketplace bundle to install or maintain.
  • Version-independent — survives Pimcore major upgrades without rework.
  • Pimcore stays your system of record. FacetFlux only sees data when you run it through.

Enrich your Pimcore catalog

Export a slice from Pimcore. Run it through FacetFlux. Compare the enriched file before importing back.