Pimcore — implementing, integrating and growing a PXM platform

Pimcore is an open-source PXM (Product Experience Management) platform for holding product data, master data, digital assets, customer data and the content published across digital channels. In e‑commerce projects it most often acts as the central source of product data and files for the store, a B2B platform, marketplaces and trade partners.

Pimcore covers PIM, but it is not limited to it. PIM is one of the platform's areas — alongside MDM, DAM, customer data, CMS and DXP, and a Digital Commerce layer. So a project can cover product data alone, or a wider scope from the start if the same data also serves a catalogue, a partner portal or printed materials. The areas are listed in the section on the platform.

An off-the-shelf PIM arrives with a closed data model that the catalogue is fitted to. In Pimcore the model is designed around your own assortment: object classes, fields, relations and inheritance. On top of that come PIM, DAM and MDM in one environment, open source on Symfony, and APIs plus Datahub for feeding the channels. The price of that flexibility is a project that has to be thought through — both approaches are compared in the section on choosing a system.

Yes, both are part of the platform. DAM stores photos, renders, manuals and certificates and links them to products and channels; MDM holds the reference data the catalogue stands on — brands, categories, suppliers and dictionaries. The real gain is that they stand on the same model as the product data, so linking a file to a variant does not need a third system.

Most often manufacturers, private-label brands and distributors that sell through several channels and keep their data in several places at once. The number of products is only one criterion — variants, languages, data sources, the number of channels, how often things change and how many people work on the data matter too. With a simple catalogue and a single channel, an implementation usually does not pay off.

An ERP usually manages commercial, warehouse and transactional information. Pimcore can take over developing product data, relations, translations, materials and the process of preparing them for publication. The exact split depends on the current systems and responsibilities in the company.

That kind of connection is a typical element of a PIM architecture. Before starting work you have to establish the scope of data, the sync direction, the exchange frequency and how errors are handled. That work has its own scope, described by Pimcore integration.

Yes, and that is the typical architecture: Pimcore holds the product data and the files and passes their finished version to Magento 2 or Shopify. It does not replace the sales platform — the store still handles the cart, payments and orders, while Pimcore answers for what is published in it.

We do not give a single price. The cost depends on the number of records, the complexity of the data model, the number of sources and integrations, the scope of migration, the workflow, the roles and the number of target channels — all nine factors are set out in the section on cost and time. A price range should be built after gathering that information, not from the product count alone.

We do not give a date before the data and the channels have been analysed. The schedule is driven above all by the state of the source data and the number of integrations rather than by the product count — cleaning and merging data is often longer than configuring the platform. The project can be split into stages: the first usually covers one set of data and one channel, and the next ones add more.

Yes, Aurora Creation's service map includes a separate Pimcore maintenance service. A takeover should start with an assessment of the version, code, integrations, documentation and how changes are deployed.

At the start you need a list of systems and channels, sample products, data sources, team responsibilities and a description of the current problems. Fully organising the catalogue before the first call is not required.