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Matchmaker

Compare products that are genuinely equivalent

AI-assisted matching across retailers, banners and countries. Each match carries a comparability score. Human reviewers validate every suggestion before it reaches your dataset.

Methodology

How the matching works

Multiple signal types combine to find the right match - not just the closest text string.

Text + attribute signals

Product names, descriptions, specifications and attributes are compared across retailers using NLP and structured attribute matching.

Image signals

Visual similarity scoring identifies matches that text alone would miss - especially for private label products with different naming conventions.

Exact and similar matches

Distinguish between identical products sold under the same EAN and similar products that are comparable but not identical.

Private-label specialism

Private-label-to-private-label matching is a core strength. Compare own-brand products across retailers where no shared identifier exists.

The suite

Match Review

Review and validate AI-suggested matches. Accept, reject or flag for further review. Every decision improves future suggestions.

Match Maker

Manually create matches when automated methods need human judgement. Search across retailers and link products directly.

Match Overview

Monitor match coverage, quality scores and trends across your portfolio. Identify gaps and prioritise matching effort.
Matchmaker workflow screenshot
The Matchmaker workflow: review, approve and create product matches.

Flagship feature

Side-by-Side comparison

Compare a product against the competition in one view.

Quality metrics

Ingredients, Nutri-Score, volume, packaging and product descriptions side by side.

Cross-retailer view

See how the same or equivalent product appears across every retailer in your coverage.

See Matchmaker in action

Book a demo and we’ll show you matching across your categories and retailers.

Book a demo