From Pimcore to ainavio in 2–4 weeks

Pimcore describes itself as an open core platform for data and experience management. For the switch, what counts is the product data you built in it:

• data objects and their classes
• localized fields in every language
• classification store, object bricks and field collections
• variants with their field values
• assets and media

The data reaches ainavio via the Datahub (REST or GraphQL) or, depending on your edition, as a file export in CSV, XML or JSON. ainavio reads it the way Pimcore delivers it.

1. Export and import. You provide the product data via the Datahub or as an export file. ainavio reads data objects, assets and translations.

2. AI mapping. ainavio maps the fields of your classes to the matching attributes and localized fields to language variants. Groups and keys from the classification store are proposed as attribute groups and attributes. Missing items are created once you confirm; existing ones are never renamed or overwritten.

3. Review and approve. Before the import you see every product, every new category and every new attribute in a list and remove what does not fit.

4. Migrate every product in batches. The mapping applies to the data model, not to each object. Then every product runs through ainavio in the background. You review samples.

5. Reconnect shops and marketplaces. The Marketplace Agent maps your data to the categories and mandatory attributes of Amazon, OTTO, Kaufland, Mirakl, Shopify, Shopware and more. Pimcore can keep running in parallel until the last channel has moved.