AI-powered product matching
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.
MatchMonk in action — from raw data to matched dataset
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.
MatchMonk is designed for teams who:
Common users include pricing teams, category managers, analysts, and operations teams who rely on accurate product comparisons.
- 01Cross-System Matching. Match products across suppliers, competitors, or systems.
- 02Dynamic Catalogues. Work with large or frequently changing catalogues.
- 03Manual Workflows. Currently match products manually or in Excel.
- 04Scale SKUs. Need matching that scales beyond a few thousand SKUs.
What it does
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
How matching works
-
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.
-
5
Human Review. Results presented for validation; feedback improves future accuracy.
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.
-
4
MatchMonk. Produces matched dataset in minutes.
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.
Where MatchMonk sits in your workflow.
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
/ year
For teams starting with product matching
- 1–10 users
- Secure access with Google SSO or username & password
- Up to 100,000 rows per job
- 10 GB storage included
- Run up to 3 jobs in parallel
- CSV, Excel, JSON & Parquet support
- S3 integration + manual upload/download
- Email support
Premium
€11,900
/ year
For growing teams with higher volumes
- 11–20 users
- Audit logs for improved visibility
- Up to 500,000 rows per job
- 100 GB storage
- Run up to 10 jobs in parallel
- Up to 5 automated pipelines per day
- CSV, Excel, JSON & Parquet support
- Database, FTP & API connectors
- Priority support
- Initial onboarding session included
Platinum
Contact Sales
For enterprise-scale matching needs
- 21+ users with flexible scaling
- Enterprise-grade security with SAML / OIDC SSO
- Detailed audit logs
- 500,000+ rows per job
- 100 GB+ storage (customisable)
- Advanced concurrency & automation options
- Unlimited pipeline configuration
- Custom integrations & connectors
- Dedicated support
- Custom onboarding & rollout
Not sure which plan fits? Tell us what you’re matching and how often.
Trust & Security
Built with security and compliance in mind
- ISO/IEC 27001 — operated by TopMonks s.r.o., certificate TDS 55/2026
- ISO 9001 — TopMonks s.r.o., certificate TDS 56/2026
- ISO/IEC 42001 — operated by TopMonks s.r.o.
- 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:
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.
- Imperfect data
- Changing catalogues
- Trade-offs between speed, accuracy, and review effort
See it in action
How This Fits Into the MonkSuite
One product or the full pipeline
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.
Ready to simplify your product matching?
See how MatchMonk can save your team hours of manual product matching.
Talk to us about your dataGet in touch
Talk to a human
Anna van der Weerden
Co-CEO
We reply within one business day. No automated follow-ups, no marketing emails.