16 Sep AI in data syndication

AI is everywhere – including in e-commerce, product data management, and data syndication. However, this topic is often discussed very theoretically, with few practical use cases. This is where we come in: with our software solution CatalogExpress, we show how AI-driven data syndication can directly support your product data management processes. This turns a mere buzzword into a real benefit for your daily work – from efficient data mapping to AI-powered feed management for your marketplace and customer integrations.

Which AI features does CatalogExpress offer?

CatalogExpress uses state-of-the-art AI technologies based on Large Language Models (LLMs) to process and transform product data more intelligently, quickly, and efficiently for e-commerce. The AI features enable use cases such as automated mapping suggestions, summarization, custom prompts, and AI-based classifications.

Automated mapping suggestions

Instead of linking every attribute manually and laboriously, CatalogExpress uses AI to automatically suggest suitable target attributes. This makes it much easier and faster to transform your product data into the desired target structure – for example, for Amazon, Galaxus, BMEcat 2005, BMEcat 1.2, ETIM BMEcat, FAB-DIS, BMDG, simple system, or Mercateo Unite.

Simply select the AI function in the CatalogExpress mapping interface. The system then suggests appropriate target attributes for your source attributes from PIM, ERP, Excel, CSV, JSON, or XML. For example, in a BMEcat 2005 mapping, CatalogExpress suggests the target attributes DESCRIPTION_SHORT, DESCRIPTION_LONG, and EAN for the source attributes short text, long text, and GTIN. You can then apply these mapping suggestions either fully or partially.

Summarization

Many marketplaces and wholesalers require product texts to have a clearly defined length. With the “Summarize” function, you can automatically shorten long texts to the desired character count. For example, if you want to convert a long text into a short text of 200 characters, the CatalogExpress mapping would look like this:

Custom Prompts

With Custom Prompts, you can provide individual instructions to the AI. This allows you to optimize your product data even more effectively. This makes it easy to translate product descriptions into multiple languages. For example, if you want to translate a long description in a BMEcat 2005 to English, the mapping would look like this:

Beyond translation, the Custom Prompt function can generate marketplace- or customer-specific product texts.
In addition, it can enrich your product data with further information from the web. Another valuable use case is search engine optimization (SEO). With Custom Prompts, you can add relevant keywords to your product descriptions, and the AI automatically inserts the right terms for each marketplace or channel.

It’s important to note that the AI generates new texts with every catalog run. To consistently reuse these results, it is recommended to feed the content back into your PIM. CatalogExpress supports this process, ensuring your optimized information is permanently available for further data syndication processes. In summary, AI-supported marketplace-ready or customer-specific product texts, combined with SEO optimization, increase your visibility on marketplaces and improve your chances of being listed by wholesalers.

In addition to data syndication, Custom Prompts also support your data onboarding. Incomplete supplier data can easily be enriched and, after brief manual validation, imported into your PIM, MDM, or ERP system.

• Custom Prompts can also inspire additional use cases that strengthen your e-business and e-commerce:
• Attribute completion: Missing information, such as measurements, colors, or materials, is automatically added.
• Duplicate detection: Duplicate or similarly named products are identified and consolidated.
• Channel-optimized media: Images are automatically adjusted (size, format, background) and tagged with alt text.
• Validation: AI checks the plausibility of values (e.g., unrealistic weight data).
• Trend insights: External data provide clues for better categorization and visibility.

AI Classification

Another use case of AI in data syndication is simplifying classifications, classification changes (e.g., from ETIM to ECLASS), and version updates (e.g., from ETIM 9 to ETIM 10). Whether you are switching from ETIM to ECLASS or updating from ETIM 9 to ETIM 10, CatalogExpress can help. It uses AI to suggest appropriate mappings based on your existing product groups and attributes. You can review these suggestions flexibly and apply them fully or partially.

AI Functions Create the Basis for Your Success

With automated mapping suggestions, Summarize, Custom Prompts, and AI Classification, you lay the foundation for AI-powered feed management and enhance both your data syndication and data onboarding processes. AI thus delivers significant benefits for your e-business and e-commerce operations.

Which Benefits Can You Gain from AI in Data Syndication?

AI in data syndication offers numerous benefits for e-business and e-commerce – from more efficient processes and flexible data structures to a sustainable increase in visibility and revenue.

Increased Efficiency in Data Transformation

AI functions significantly reduce manual data mapping efforts. Instead of linking every attribute or adjusting every text manually, CatalogExpress provides intelligent suggestions. This accelerates catalog creation and enables you to distribute your product data to marketplaces, wholesalers, and e-business portals more quickly.

Flexibility in Adapting to Changing Requirements

Data requirements change frequently – due to new versions of ETIM or ECLASS, or because of individual customer requirements. With AI functions in CatalogExpress, you can respond to these changes quickly and flexibly, adjusting classifications and text requirements with minimal effort.

Support for Data Onboarding

AI not only provides clear advantages in data syndication but also supports data onboarding. Incomplete supplier data can be enriched before importing into your systems, ensuring that your PIM, MDM, or ERP data forms a solid foundation. When your data is well-prepared, you benefit twice: optimized information can be syndicated seamlessly and meets the requirements of marketplaces, wholesalers, and industry portals.

Greater Visibility through SEO and Content Optimization

With AI-powered, marketplace- and customer-specific product texts and targeted SEO optimization, you can increase your e-commerce visibility while also improving listing success with wholesalers. These content advantages translate directly into higher revenue and stronger competitive positioning.

How Do You Access the AI Functions in CatalogExpress?

AI in data syndication is not just a theoretical, futuristic topic – it is a practical lever for better product data, more efficient workflows, and increased e-commerce visibility. CatalogExpress provides user-friendly, practical functions that deliver real value. The AI features can be added flexibly or are already included in some CatalogExpress service packages.

Start your own AI project with nexoma. See how artificial intelligence enhances your product data management in practice – from data onboarding to AI-powered feed management for your customers, partners, and marketplaces. This way, you turn AI in data syndication into a real success factor.
You also lay the foundation for sustainably growing your e-commerce and e-business.