Data Enrichment / AI
Use AI to enrich product metadata, generate descriptions, and improve catalog quality automatically. Review suggestions against your source data before approving them.
What you can work with
AI Metadata Generation
Auto-generate product descriptions, categories, and SEO tags using AI. Reduce manual data entry while improving catalogue discoverability.
Bulk Enrichment
Process thousands of SKUs in a single batch. Select an entire category or supplier line and let AI fill the gaps across every product.
Approval Workflow
Review AI suggestions before they go live. Approve, edit, or reject each change so your catalogue stays accurate and on-brand.
Dataset Versioning
Review the proposed changes before applying them. Keep a source export and test a small batch before updating a larger range.
Export
Download enriched datasets in standard formats for external use. Share clean product data with marketplaces, ERPs, and marketing tools.
Try it with a sample
Select Products for Enrichment
Choose individual products, entire categories, or supplier catalogues. Filter by missing fields to target the SKUs that need attention most.
Run AI Analysis
Launch the AI enrichment engine. It analyzes product names, images, and existing data to generate descriptions, categories, and metadata.
Review and Approve Suggestions
Browse the AI-generated suggestions in the approval queue. Edit any field inline, approve batches, or reject changes that do not fit.
Publish Enriched Data to Catalogue
Once approved, publish the enriched data to your live catalogue. Refresh the affected screens and verify the published values; offline devices need to reconnect.
Available On
Data Enrichment is available in the Vender Admin web application. Enriched data flows automatically to B2B portal, POS, and mobile apps.
Related Features
Ready to enrich your catalog with AI?
See how Vender Data Enrichment turns incomplete product lists into search-ready, sales-driving catalogs.