Product Matching Intelligence for US Retail and Ecommerce
Price comparison is only as good as the matches behind it. We link your products to identical and comparable items across Amazon, Walmart and Target — using UPC, GTIN and AI-based matching — so every pricing and assortment decision starts from accurate, like-for-like data.
The same product looks different on every retailer's site
A single product can have a different title, a different image, and a missing or different identifier on each US retailer. So when a team tries to compare prices or assortment, they are often comparing the wrong items — or missing matches entirely. Bad matches mean bad price intelligence: undercutting the wrong competitor, or believing a gap exists where it does not.
Accurate matches make every other dataset trustworthy
Product matching is the foundation layer. Get it right, and price intelligence, assortment analysis and benchmarking all become reliable.
Every price comparison built on a verified product match, not a guess.
A score on every match so your team controls the accuracy bar.
From your catalog to a validated pilot match set across retailers.
Every signal we use to link products
We combine identifier, attribute and image signals to match products accurately across US retail catalogs.
UPC & GTIN
Exact matching on standard barcodes when identifiers are available.
ASIN & model number
Marketplace IDs and manufacturer part numbers as match keys.
Brand & title
Normalized brand and title text for fuzzy, language-aware matching.
Attributes & specs
Size, color, pack count and key specs to confirm a true match.
Image matching
Visual similarity to pair products when text alone is unreliable.
Variant handling
Correct matching of size and color variants within a product family.
Confidence score
A clear score per match so you can trust or review each pair.
Substitute flag
Close substitutes identified separately from exact matches.
The US retailers we match products across
Need wider US coverage?
We can extend product matching to more US retailers in a later phase, all returned in one unified match table with consistent confidence scoring.
What US teams build on accurate product matches
One reliable match table powers pricing, assortment and competitive analysis across the business.
Accurate price comparison
Compare your price only against verified like-for-like products.
Assortment gap analysis
See which competitor products you do not carry, and vice versa.
Catalog enrichment
Fill missing identifiers and attributes in your own catalog.
Private-label benchmarking
Match private-label items to comparable branded substitutes.
Repricing accuracy
Feed only confirmed matches into repricing to avoid bad moves.
Competitive intelligence
Build a true product-level view across US retailers.
This is what your team receives
A clean match table linking each of your SKUs to competitor products with identifiers and a confidence score — example schema below.
product_matching_sample.csv
● LIVE SCHEMA
| Your SKU | Retailer | Matched Product ID | Match Type | Confidence | Method | Status |
|---|---|---|---|---|---|---|
| INT-44120 | Amazon | B08XYZ123 | Exact | 0.98 | UPC | Confirmed |
| INT-44120 | Walmart | WM-114-008 | Exact | 0.91 | Title + Attr | Confirmed |
| INT-77004 | Target | TG-9-447-201 | Substitute | 0.74 | Image + Attr | Review |
From your catalog to a verified match table
A simple five-step path — and you talk directly to the engineers building your pipeline.
Send your catalog
Share your SKUs with whatever identifiers and attributes you have.
We run matching
Identifier, attribute and image matching across target retailers.
Confidence scoring
Each match scored; low-confidence pairs flagged for review.
You receive the table
A clean match table via CSV, JSON, API or Parquet.
Refresh on schedule
New products matched as catalogs change over time.
A US-focused product matching partner
We focus on US retail catalogs and US response hours — so your team gets fast pilots and matches tuned to how Amazon, Walmart and Target structure their product data.
Multi-signal matching
Identifier, attribute and image signals combined, not just text.
Confidence on every match
You decide the accuracy threshold; nothing is a black box.
Substitutes included
Close substitutes flagged for assortment and like-for-like work.
Foundation-ready
A match table other datasets and pipelines can build on.
About product matching intelligence
Product matching intelligence links the same or comparable products across different retailers, even when titles, identifiers and images differ. It is the foundation for accurate price comparison, assortment analysis and competitive benchmarking.
When UPC or GTIN is missing, we use attribute, title and image-based matching to pair products, and return a confidence score for each match so your team can trust or review it.
Yes. Alongside exact matches we identify close substitutes and comparable products, which is useful for assortment gap analysis and like-for-like pricing in categories without exact equivalents.
We match across Amazon, Walmart and Target as standard, and can add Home Depot, Lowe's, Costco and other US retailers on request, all returned in one unified match table.
Every match carries a confidence score. High-confidence matches are delivered directly; lower-confidence pairs are flagged for review so your team controls the accuracy threshold.
We deliver a match table in CSV, JSON or Parquet, via REST API, SFTP or cloud destinations, mapping each of your SKUs to matched competitor products with identifiers and confidence scores.
Build your price intelligence on accurate product matches
Send us a sample of your catalog and we'll return a sample match table — across US retailers, with confidence scores — within 1 business day.
Often paired with product matching
Retail Price Intelligence
Competitor pricing, promotions and stock across US retail.
View solution →Digital Shelf Analytics
Search ranking, content and share-of-shelf signals for brands.
View solution →Marketplace Monitoring
Buy Box, sellers and listing changes across US marketplaces.
View solution →