north.example01
Nike Air Max 90
Men / Trainers
Black42 EU
Different stores. Comparable products.
Turn inconsistent product pages into one ecommerce model. Normalize details, connect matching variants, and keep the original records behind every comparison.
Two descriptions. One comparable variant.
Stores name the same product differently. Enrich aligns the details, connects equivalent variants, and keeps each original listing.
Illustrative normalization and matching example
field.example02
Air Max 90 by Nike
Chaussures / Baskets
NoirEU42
Normalized variant
Nike Air Max 90
Black · EU 42
- Brand
- Nike
- Category
- Shoes
- Color
- Black
- Size
- EU 42
2 original listings retained
north.example · field.example
Each listing keeps its own offers and observation times.
Matching depends on the available product details. Different sizes and configurations remain separate variants.
Less mapping. More useful product data.
Consistent categories and attributes
Map products to an industry-standard taxonomy. Structure category attributes and product signals so you can filter records from different stores together.
Options you can compare
Normalize sizes, colors, identifiers, and other options. Keep exact variants distinct when their configuration changes the comparison.
Prices stay with their offers
Preserve the seller, currency, availability, and observation time behind each offer. A different price does not become a different product.
Matching you can inspect
Connect products and variants across stores while retaining their listings and original records. Review the evidence and coverage before relying on a match.
Ready for the next question.
Each successfully enriched page produces a normalized Item. Enrich also prepares the connected products, variants, listings, and offers that Explore uses. Matching is part of the same workflow.
Open the result in Explore to compare prices, follow changes, and examine assortment overlap. Keep access to the original page data when you need to check a detail.
See what Explore makes possible ↗Pricing
Compare plans1 credit per successfully enriched page
Added to the 2 credits for extraction. Normalization and preparation of the connected product data for Explore are included. Failed enrichment attempts use no credits.
Make your next catalog comparable.
Start with public product pages or a catalog import. Enrich gives your team a common model for the data work that follows.
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