AI Product Categorization & Content Enrichment

Using our unique AI and machine-learning technologies we automatically categorize products into the Shopedia product taxonomy as well as to any auto-matched standard and custom output category structures.

With over 100.000 structured and balanced product categories the Shopedia Product Taxonomy is multiple times more detailed than any of the others in the industry, such as Google Shopping (~6.000) or Amazon (~20.000).

With the ability to automatically detect over 6.000 unique types of normalized Product Attributes from any kind of unstructured multilingual texts we can extract and deliver detailed datasets for any type of products.

We automatically detect and create relations of what Accessories and Spare Parts fits other products, so you can help your customers find the right products and create more sales. 

Increase sales with SEO-friendly and rich product texts available in almost any output language. We use the latest cost-effective LLMs to make your texts unique and selling.

When aggregating products from multiple sources we automatically identify if they are the same product and merge them in order to further enhance the product data around each unique product.

We feed products from any Product Feed source or xml/csv-files, as well as aggregate products from multiple international sources.

All systems use our Natural Language Text Parser and extensive Word Database to both extract and analyse all data, as well as to output the normalized Product Data in multiple languages.

Our Product Search Engine technology can deliver search-as-you-type / search results and filtered product lists from tens of millions of products in less than 150 milliseconds average.