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Product matching without spreadsheets, rules, or weeks of manual work.

Automatically identify best match products across datasets — even when names or other details don’t line up.

Manual product matching works — until the volume grows.
Spreadsheets, unclear formulas, and rules break down as data changes.

MatchMonk turns matching into a scalable workflow.

Who It's For

MatchMonk is designed for teams who:

Cross-System Matching

Match products across suppliers, competitors, or systems

Dynamic Catalogues

Work with large or frequently changing catalogues

Manual Workflows

Currently match products manually or in Excel

Scale Beyond SKUs

Need matching that scales beyond a few thousand SKUs

Common users include pricing teams, category managers, analysts, and operations teams who rely on accurate product comparisons.

What It Does

Compares product datasets automatically

Identifies exact, likely and alternative matches using multiple indicators

Assigns confidence scores to every match

Produces a reviewable, interactive and usable output

Source Input
ID: #8832-A
AI
95% MATCH
COMPETITOR DATA
?
Scanning...
AI CONFIDENCE CALCULATING...

Matching Process

1

Perfect Match

Products matched using definitive criteria (EAN, GTIN, MPN)

2

Embedding Match

Product names encoded using context-aware, language-agnostic embeddings

3

Attribute Matching

Matches evaluated across attribute vectors with configurable importance weights

4

LLM Scoring

Top candidates validated and categorized using AI reasoning

Human Review

Results presented for validation; feedback improves future accuracy

Typical Use Case

See how MatchMonk transforms a common data challenge

1

Receive Data

Team receives multiple supplier or competitor price lists

2

The Problem

Product names don't match across files

3

Manual Work

Manual matching takes days or weeks

MatchMonk

MatchMonk

Produces matched dataset in minutes

What It Replaces

MatchMonk replaces:

Manual SKU-by-SKU matching

Spreadsheet lookups and fragile formulas

Hard-coded matching rules

Ad-hoc processes that don't scale

The result is less manual effort, more consistent matches, greater accuracy, and faster comparisons across catalogues.

MatchMonk makes product matching repeatable, reviewable, and scalable.

How It Fits

Where MatchMonk sits in your workflow

Data Collection & Cleaning
MatchMonk MatchMonk
Analysis / Pricing

MatchMonk is used once data has been collected, cleaned and put into the desired structure.
It aligns products across datasets so they can be compared accurately — either on its own or as part of the MonkSuite flow.

Pricing

Annual pricing based on catalogue size and matching volume.

Basic

€8,900

per year

Up to 100,000 dataset rows per job
10 GB storage
POPULAR

Premium

€11,900

per year

Up to 500,000 dataset rows per job
100 GB storage

Platinum

Contact Sales

custom pricing

500,000+ dataset rows per job
100+ GB storage

Not sure which plan fits?
Tell us what you’re matching and how often.

Trust & Security

Built with security and compliance in mind

ISO 27001 certified
GDPR compliant
EU-based processing and storage
Encrypted in transit and at rest
No lock-in — export anytime

Built from Real-World Experience

MatchMonk is built on years of hands-on experience working with real product catalogues, pricing data, and supplier feeds — where names don't align, attributes are inconsistent, and manual matching doesn't scale.

It reflects how matching actually happens in practice:

Imperfect data
Changing catalogues
Trade-offs between speed, accuracy, and review effort

Instead of rigid rules or black-box automation, MatchMonk focuses on transparent matching, confidence scoring, and human review where it matters — so matching stays accurate as data and volume grow.

Ready to simplify your product matching?

See how MatchMonk can save your team hours of manual product matching.