AI is starting to change the way companies work with product data.
Not in some abstract, far-away future kind of way. In very practical ways.
- Product descriptions can be generated
- Texts can be translated
- Supplier PDFs and datasheets can be turned into structured product values
- Product images can be resized, cleaned up and adapted for different channels
- Catalogs can be checked for inconsistencies
- AI assistants can help users find answers or complete tasks faster
But AI only becomes truly useful when it works in the right context.
For product data, that context lives inside the PIM: the attributes, categories, workflows, languages, permissions and approval processes that keep product information structured and under control.
That is why we have built AI directly into Struct PIM 4.
Not as a separate tool on the side. Not as a one-off feature. But as a native part of the platform - just like search, workflows and enrichment are already part of how teams work in Struct PIM.
New AI capabilities for everyday product data work
The AI capabilities in Struct PIM 4 are designed to support the daily work around product data - from content and translations to data extraction, image handling and data quality.
Content Generation helps teams create product descriptions, SEO content and marketing copy based on the product data already available in Struct PIM.
That means the content starts from real product context, not a blank prompt, making it faster to create relevant content without starting from scratch every time.
For teams working across markets, Automatic Translation makes it easier to adapt product content across languages, with the option to review and approve before anything is published.
The result is faster localization, while still keeping control over tone, terminology and quality.
Data Extraction turns unstructured sources into structured product data.
AI can read supplier PDFs, datasheets and websites, map the content to the right attributes and prepare it for review in the PIM - so teams can spend less time copying values and more time checking, improving and publishing the data.
With Image Manipulation, product images can be adapted directly in Struct PIM - including background removal, resizing, reformatting, enhancement and generative variations for different channels.
That keeps image work closer to the catalog and reduces the need to move assets between separate tools.
And to help keep product information reliable, Data Consistency can identify missing, unusual or inconsistent data across the catalog.
So instead of relying only on manual checks and spot tests, teams can get help finding the issues that are easy to miss.
Together, these capabilities cover some of the most time-consuming parts of product data work: creating content, translating information, extracting values, preparing images and keeping the catalog consistent.
That is where the real value begins: when AI is not just a separate tool, but part of the workflow itself.
From manual tasks to smarter product data workflows
The point is not just to make individual tasks faster.
The real value comes when they become part of the workflow around your product data.
Instead of copying product information into separate AI tools, moving images between systems or manually transferring values from supplier material by hand, teams can work closer to the source.
AI can support the task directly in Struct PIM, where the product data, structure and approval flows already exist.
That makes the process faster, but also easier to control.
Generated content can be reviewed before it is used. Extracted data can be checked before it becomes part of the product record. Image variations can stay connected to the product they belong to. And inconsistencies can be flagged where the data is actually maintained.
In other words, AI helps remove friction from the daily work without removing the structure that makes product data reliable.
Conclusion
Struct PIM 4 is becoming AI-native for one reason: to make everyday product data work easier.
It is about making AI useful in the work teams already do every day.
The foundation is still the same: structured, reliable and governed product data. But with AI built into Struct PIM 4, that foundation can do more.
It can help teams create content, translate product information, extract data, improve images and keep catalogs consistent inside the platform.
This is the direction we are moving in with Struct PIM 4 - faster workflows, fewer detours and product data that stays under control.
