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Learn prduct terminology

Becoming familiar with prduct terms

Andreas Stensig avatar
Written by Andreas Stensig
Updated today

Please note that this is an advanced guide aimed at setting up API integrations!

Starting with prduct you need to become familiar with multiple “data documents” in the platforms master data management.

A data document (or just document) is a data container, also used in other business systems where they often can be named everything from: Entity, Object, Record, Item or Nodes. prduct comes with both predefined documents but also allows clients to create custom documents. To distinguish between these documents, you will used the document type id.

A specific value inside a document, e.g. a products weight is in product known as attributes. Other business systems might call these values everything from: fields, property, parameter, feature, property value or data point.

Like in most master data management systems these values are bound together through data models. A data model defines what attributes are used on a specific document, and multiple can be created for each type of document. An example could be that a microwave required different attributes than a furniture. Data models is also what helps define the completeness level of a document and for that reason a data model id, is used when creating documents to define what data it should include.

Companies are both supplier and clients and is in the prduct platform an important endpoint because the collaboration about data in the supply chain requires the system knows with who to interact. A company is like a document but comes with predefined data points and the ability to add custom fields. Fields on companies are comparable to attributes while not being as comprehensive in use. Use cases for fields are often related to filtering and overview.

The above terms is the most important for setting up API and integration with prduct.com. Find more definitions in our Dictionary for prduct.com

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