Product Matching

Know exactly which competitor products match yours — and why each decision was made.

Request Sample Data
48-72 hours, 100-300 products matched
Managed service - no a matching tool to learn. Every match includes confidence score and reasons. Borderline cases reviewed by humans. False positives flagged - not quietly shipped.
100–100,000+ SKUs per client
10+ competitor sites
95%+ accuracy after tuning

What You'll Know

Every delivery answers the questions your pricing and assortment teams ask:

Which competitor products are the same as mine?
Which are similar but not exact matches?
Why was each match decision made?
How confident should I be in each match?
Which matches need my review?

The Problem with Product Matching

If the match is wrong, every downstream decision is wrong - pricing, MAP enforcement, assortment planning.
False positives are worse than missed matches.

Product Matching Report
Product
Apple iPhone 15 Pro Max 256GB
Same product. Three different titles. No GTIN on two sites.
1
Amazon:
Apple iPhone 15 Pro Max 256GB Natural Titanium
Has GTIN
2
BestBuy
iPhone 15 Pro Max - 256 GB - Natural Titanium
No GTIN
3
Target
iPhone15ProMax 256GB Titanium (Natural) - Apple
No GTIN
This happens thousands of times in your catalog. Which variants match? How do you know?
Meanwhile, you're stuck:
Hours spent verifying matches manually
Tools that match without explaining why
Variants confused — wrong size or color
Bad matches erode trust - team questions every decision

What You Get

A clean match file you can use as-is — no cleanup, no spot-checks:

Included in every report
Match type
Same / Similar / Not a Match
Same / Similar / Not a Match
You set the cutoffs (e.g., ≥92 = Same, 70–91 = Similar)
Reasons
What matched and what didn't (e.g., "GTIN match; capacity mismatch; gallery match")
Variant clarity
Attributes compared (size, color, capacity, generation)
Competitor details
Their title, PDP URL, current price, availability, seller
Sample: Fashion Product Matching Analysis
Mytheresa (retailor) vs. Isabel Marant
Mytheresa
Isabel Marant
Match Type
Score
Reason
Tess Asymmetrical Shirt
Tess Shirt - Off White
Exact Match
98%
Identical asymmetrical snap-button front, high neck with drawstring, chest patch pocket.
Madinea Floral Blouse
Lirhetta Top - Berry
Different Product
25%
Different design and silhouette. Structured puff-sleeve vs lightweight peplum with spaghetti straps.
Oskan Moon Suede Bag
Oskan Moon Bag - Taupe
Same Model, Different Variant
90%
Same model name (Oskan Moon), suede, crescent shape. Differs in decorative elements: whipstitch vs studs.
40mm Duerto Cowboy Boots
Duerto Boots - Black/Ecru
Similar Style
35%
Same cowboy style but differs significantly. Solid black vs two-tone with decorative stitching.
Bryce Sneakers - Beige
Bryce Sneakers - Red/Burgundy
Same Model, Different Color
75%
Same model (Bryce), same design, shape, sole. Differs in color (beige vs red) and material (leather vs suede).
Delivery Options
CSV, XLSX, Google Sheets
S3, BigQuery, Snowflake, API
Weekly, monthly, or on-demand
Re-match when catalog changes

How we match

We don't just compare titles. We use multiple signals and apply category-specific rules - then humans review the borderline cases.

Signals we use
GTIN / UPC / EAN (when available)
Brand, model, variant from titles
Specs (size, color, capacity, pack size)
Image comparison (optional)
Category rules
Electronics: exact model required
Apparel: color/size variations OK
CPG: pack size must match
Custom rules for your categories
Human review
Borderline cases flagged
Reviewed before delivery
Request re-review anytime
Audit trail for every decision

Where teams use it

Match decisions feed directly into:

Pricing
Track competitor prices on true equivalents. Use "Similar" for comparable alternatives or gap analysis.
Assortment
Find gaps and overlaps confidently — no double-counting when variants are properly matched.
MAP / MSRP
Enforce only on exact SKU/variant matches. Avoid false violations.
Private Label
Benchmark against branded equivalents with transparent reasons.

Start Your Free Trial

See real violations in your catalog within 48 hours.

Request Sample Data
Get Data in 48 hours
What you get
100–300 products matched
Full match file (Same / Similar / Not a Match)
Confidence scores + reasons for each
One free tuning based on your feedback
What we need
Your product catalog (file or URLs)
1–3 competitor sites
Matching preferences (we'll help define)

Frequently Asked Questions

Is this a tool or a service?

Managed service. We handle matching and deliver ready-to-use files. You don't log into anything.

How accurate is matching?

95%+ typical accuracy for Same / Not a Match decisions after tuning.  Accuracy improves as we learn your catalog quirks during the pilot.

What if I disagree with a match?

Tell us. We adjust the rules and re-run. One free tuning is included in pilot; ongoing tuning is part of the service.

How do you handle variants?

You decide which attributes must match. For example: "capacity must  match; color can vary" or "pack size must match exactly." We apply those rules consistently.

Can I set my own confidence thresholds?

Yes. You define when a product counts as Same (e.g., ≥92) and Similar (e.g., 70–91) for each category. We apply your cutoffs.

What signals do you use?

GTIN/UPC/EAN (when available), brand, model, specifications, and optionally images. We weight signals differently by category.

What happens when competitor catalogs change?

We continuously monitor for product additions, discontinuations, and  changes. Matches are automatically updated. If a matched product  disappears or changes significantly, we flag it.

How often do I get updates?

You choose: weekly, monthly, or on-demand when your catalog changes. Schedule regular runs to catch new products automatically.

How does pricing work?

Based on catalog size × competitor sites × frequency × category  complexity. AI image matching is optional — enable only where it pays  back. Month-to-month, no setup fees. Exact quote after pilot.

What if data is wrong?

If we deliver a clear mis-match that would have changed your decision,  we fix it and re-send. If our file creates more work than your current  approach, we credit that month.