Poor Product Data Kills Discoverability
E-commerce catalogs have inconsistent product data: missing attributes, vague titles, wrong categories, no search keywords. Customers cannot find products they want. Filters do not work with missing attributes. Manual data cleanup takes months for 10,000+ SKUs. Supplier feeds have terrible data quality.
Clean, Complete Product Data Automatically
AI data enhancer that analyzes product titles and descriptions, extracts missing attributes (color, size, material, brand), improves categorization accuracy, generates search-optimized titles, adds relevant keywords, and standardizes data--improving product discoverability and filter functionality.
Analyzes product titles and descriptions to extract attributes
Fills missing fields: color, size, material, brand, style, gender
Recategorizes misplaced products using product details
Generates SEO-optimized titles: s Blue Cotton T-Shirt Size L
Adds search keywords customers actually use
Bulk processing: clean 10,000+ products in hours
From Messy Data to Searchable Catalog
Import Catalog
Upload product CSV with 5,000 items. Many have vague titles: "Shirt" or missing color/size attributes.
AI Attribute Extraction
Claude reads descriptions, extracts: "100% cotton" → material: cotton, "navy blue" → color: blue.
Data Enhancement
Fills missing fields, recategorizes (moves Women's Shirt from Men's to Women's), improves titles.
Quality Check
Review AI suggestions, bulk approve. Export enhanced catalog to Shopify. Filters now work perfectly.
Key Features
Attribute Intelligence
Understands 1,000+ attributes across categories. Apparel: neckline, sleeve length. Electronics: RAM, storage, screen size.
Category Prediction
Uses product features to predict correct category. "Yoga mat" miscategorized in "Fitness Equipment" → move to "Yoga."
Synonym Handling
Adds search synonyms: sneakers also searchable as tennis shoes, trainers, athletic shoes.
Data Validation
Flags impossible combinations: Men's Maternity Jeans or Size 32 Infant Shoes. Prevents data errors.
Data Enhancement Stack
Who Benefits?
Marketplaces
Clean seller data before listing. Ensure all products have complete, accurate attributes for filters.
Dropshipping Stores
Enhance terrible supplier data. Import AliExpress products with good titles and attributes.
Catalog Migrations
Migrate 20,000 products from legacy system to Shopify. Clean and enhance data during migration.