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PIM Data Model

The PIM Data Model defines which attributes, categories, and relationships a PIM manages for the products you sell. A well-designed data model is the foundation for clean data quality, consistent channel output, and scalable product expansion. Pimcore PIM lets you adapt the data model without code, with any number of classes, inherited attributes, and controlled value lists.

A PIM data model determines the structures in which product information is maintained: product classes, required and optional attributes, data types, value lists, category trees, relationships between products (accessories, variants, spare parts). It translates the logic of a product portfolio into technical structures.

The quality of the data model decides scalability. A model that is too narrow forces constant workarounds, a model that is too broad becomes hard to navigate. International hierarchies, localized attributes, channel-specific value lists, and compliance requirements need to be modeled cleanly without inflating the model for every edge case.

Pimcore PIM is built for flexible data modeling. Classes, attributes, inheritance, and classification systems (eCl@ss, ETIM) are modeled through the Studio interface without code changes. Adjustments to the model propagate automatically into workflows, validations, and exports, without manual rework on every record.

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