AI-powered product matching
Automatically identify best match products across datasets — even when names or other details don’t line up.
Spreadsheets, unclear formulas, and rules break down as data changes.
MatchMonk turns matching into a scalable workflow.
Common users include pricing teams, category managers, analysts, and operations teams who rely on accurate product comparisons.
01
Compares product datasets automatically
02
Identifies exact, likely and alternative matches using multiple indicators
03
Assigns confidence scores to every match
04
Produces a reviewable, interactive and usable output
Perfect Match. Products matched using definitive criteria (EAN, GTIN, MPN).
Embedding Match. Product names encoded using context-aware, language-agnostic embeddings.
Attribute Matching. Matches evaluated across attribute vectors with configurable importance weights.
LLM Scoring. Top candidates validated and categorized using AI reasoning.
Human Review. Results presented for validation; feedback improves future accuracy.
Receive Data. Team receives multiple supplier or competitor price lists.
The Problem. Product names don’t match across files.
Manual Work. Manual matching takes days or weeks.
MatchMonk. Produces matched dataset in minutes.
The result is less manual effort, more consistent matches, greater accuracy, and faster comparisons across catalogues.
MatchMonk makes product matching repeatable, reviewable, and scalable.
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.
Annual pricing based on catalogue size and matching volume.
Basic
€8,900
/ year
For teams starting with product matching
Premium
€11,900
/ year
For growing teams with higher volumes
Platinum
Contact Sales
For enterprise-scale matching needs
Not sure which plan fits? Tell us what you’re matching and how often.
Trust & Security
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:
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.
Each deck walks a whole scenario through the suite, with the numbers.
From a competitor’s page to a verified price — in your engine
Collect, clean and match competitor prices as one connected flow — and every match is verified, with a score and a plain reason, before a price ever reaches your pricing engine.
Know your shelf — where you’re winning it and losing it
See how much shelf your brand holds at each retailer, how it’s changing, and what’s selling — read from public assortment data, so you spot erosion and opportunity before the next buy.
Open a shop with no price history — and know what to stock and what to charge
A new shop has no history of its own, so the evidence has to come from the market: what comparable products sell for, which categories your peers carry that you do not, and where your brand can sit against them.
We have decks for other industries and other pricing problems. Tick the ones you want, or just leave your address and we will send what fits.
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How This Fits Into the MonkSuite
Each TopMonks product works independently — but together, they create a complete pricing workflow.
ScrapeMonk
Collects raw market and competitor data
TidyMonk
Cleans, structures, and prepares data
MatchMonk
Aligns products across sources
PriceMonk
Turns insights into pricing decisions
Use one product or the full suite — start where your biggest bottleneck is.
See how MatchMonk can save your team hours of manual product matching.
Talk to us about your dataTalk to a human
Anna van der Weerden
Co-CEO
We reply within one business day. No automated follow-ups, no marketing emails.
