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Dynamic attributes in Adeona PIM

Dynamic attributes in Adeona PIM

Dynamic attributes in Adeona PIM

Dynamic attributes in Adeona PIM – smarter product information automatically. When product information management requires less manual work, the result is efficiency, accuracy and up-to-date content across all channels. Adeona PIM’s dynamic attributes are one of the most powerful tools for this – they make product data management smoother and smarter.

Dynamic attribute values ​​automatically based on a generation rule

A dynamic attribute is a product attribute whose value is automatically calculated based on other attributes or formation rules. For example, when product dimensions or other source data are updated, the dynamic attribute value is automatically recalculated, ensuring that the information always remains up-to-date – without manual work.

Adeona PIM dynamic attributes

What can dynamic attributes be used for?

Dynamic attributes enhance product data management in many ways, and the only limit to their potential applications is your imagination. Below are some examples of applications:

  • Search engine optimized keyword lists (SEO)
    • Automatically combine, for example, the brand, name and purpose of a product into a search engine-friendly keyword list. If any information is missing, a placeholder can be used, so the listing is not incomplete. You can also define, for example, exception rules for the information to be included based on product categories.

  • Product volume calculation
    • The volume can be calculated automatically based on the length, width and height of the product.

  • Derivatives of technical data
    • Many technical data require converted values ​​for different channels – for example, unit of measure conversions or rule-based calculations. Dynamic attributes enable these automatically, without the need to copy the original data or perform calculations in Excel.

  • Calculating prices for different channels
    • In some cases, the PIM system may also manage certain pricing information, such as the purchase price.
    • Different sales prices can be calculated based on base prices, discounts, target margin, and margins.

  • Data validation and quality monitoring
    • Dynamic attributes can be used to verify that data meets certain business rules or objectives. Validation rules can be different for different types of products – for example, there may be different data validation checks for chemicals or food. This allows problems to be detected and fixed before the data is published.

  • Automatic additions to product information
    • Add an automatic disclaimer or usage warning to the product description if certain conditions are met (e.g. contains chemicals).