Fill the gaps in your product data — at scale.
Extract missing attributes, enrich specifications, and standardise product information with AI agents — then review and approve before publish.
Product data breaks when it’s incomplete, inconsistent, or scattered.
Key attributes are missing across thousands of SKUs
Specifications are buried in PDFs or supplier documents
Product descriptions are inconsistent or poorly written
Teams copy and paste data from websites manually
Listings go live incomplete, harming search and conversion
Enrich product data in one structured workflow
SKULaunch runs AI agents directly inside your product data process — extracting, standardising, and enriching attributes at scale before anything is published.
Extract attributes from PDFs, images, URLs, and raw text automatically
Run web search agents to validate and fill missing specifications
Standardise units, naming conventions, and controlled values
Review changes and approve enriched records before publis
What Changes
Higher attribute completeness
Fill missing product specifications across entire categories without manual effort.
Faster enrichment cycles
Run AI agents in bulk across thousands of SKUs instead of updating records one by one.
Standardised product data
Normalise units, formats, and values so your data is consistent across suppliers and channels.
Publish ready outputs
Enriched product records flow into PIM, ecommerce, and marketplaces clean, structured, and approved.
