Automate attributes mining and product data enrichment
Prepare your product data for any marketplace or ecommerce paltform
What are the benefits of product data enrichment
Product data enrichment adds structured attributes and accurate details to product listings, making them easier to find, compare, and trust. It helps boost conversions, reduce returns, and improve visibility across search engines and marketplaces
What are the steps for product data enrichment
Product data enrichment turns raw product info into clean, structured data. It involves extracting, unifying, transforming, and publishing data to ensure it’s accurate, complete, and ready for any eCommerce platform.
Data Extraction
Extract product attributes from unstructured or raw data across all internal and external sources
Data Unification
Combine product information from different systems and formats into one consistent, unified structure
Data Transformation
Convert and structure the data to match the specific format required by marketplaces and sales channels
Data Publishing
Publish extracted and transformed data instantly on your desired marketplaces or platforms
How attribute mining and data enrichment works
What are the sources for product data enrichment
To enrich product data effectively, you first need the right sources. From existing product content and images to competitor websites and smart deduction tools, each source plays a key role in extracting accurate and complete product attributes.
Product Data
Extract product details from descriptions, titles, manufacturers, and distributor content
Images
Extract product attributes and visual details directly from available product images
Competitor Websites
Collect structured product data by crawling competitor websites and marketplaces
Deduction
Generate new attributes and filters using logic applied to the extracted product data
Benefits of product data enrichment
More filters
Better SEO
Fewer returns
Higher AOV
Faster listings
Smarter search
Richer content
Improved UX
Boosted trust
Better product matches
Product data enrichment
What is product data enrichment
Product data enrichment is the process of adding missing attributes, standardizing information, and organizing product data to improve accuracy and discoverability
Why is data enrichment important for ecommerce
It helps customers find products faster through filters and search, increases relevance in search results, and improves overall user experience and conversion rates
Which types of attributes can be enriched
Attributes like size, color, material, weight, compatibility, usage type, and many others can be enriched depending on your product category
Where does the enrichment data come from
We use your existing product data, images, technical documentation, and supplier content as well as competitor sources to extract missing attributes
How do you extract attributes from unstructured data
We use automated tools to scan descriptions, specs, PDFs, and images to identify and structure product attributes correctly
Can the system detect duplicate or inconsistent attributes
Yes, it detects duplicate fields, conflicting values, and formatting inconsistencies to clean and normalize your catalog
Is the attribute data standardized across platforms
Yes, attributes are formatted based on each platform’s requirements, so the same product is listed consistently everywhere
Can I enrich products in bulk
Yes, the platform is designed to handle bulk enrichment so you can update thousands of SKUs efficiently
What are the benefits of having more structured product data
It improves internal search, enables accurate filtering, supports better comparison tools, and builds trust with your customers
Does enriched data help with product SEO
Yes, structured and complete product attributes are often picked up by search engines and improve ranking in product search results
Can I review enriched attributes before publishing
Yes, you can preview, approve, and even manually adjust enriched values before pushing them to your sales channels
How is enriched data published to ecommerce platforms
Once enrichment is complete, the data is automatically mapped and published to platforms like Shopify, WooCommerce, VTEX, and others
What happens if a product is missing critical attributes
The system flags incomplete products and allows you to fill the gaps or reprocess them with updated information
Can I define my own attribute structure or naming rules
Yes, you can customize naming, grouping, and formatting rules to match your internal taxonomy or the platforms you list on
How often should I update or re-enrich my catalog
We recommend reprocessing your catalog anytime there are significant supplier changes, new products, or platform updates to maintain accuracy
Product Data Enrichment
Pricing is based on the volume and complexity of your operations. Get a personalized quote tailored to your product catalog size, automation needs, and platform requirements.
Ready to enrich your product data at scale?
Turn raw product information into structured, accurate attributes your customers can trust. Save time, reduce errors and get marketplace-ready with just a few clicks