Product Matching

Map your products to competitors' - across variants, bundles, and private labels - so every price and assortment comparison is apples to apples.

exact matchesfuzzy (pack / weight / qty)private-labelcross-region variantsconfidence scoresnormalized taxonomy
matching engine
1
Rule filtering
Category rules and brand maps.
2
AI candidates
NLP, taxonomy, vector similarity.
3
Human-in-the-loop QA
Reviews low-confidence matches.
4
Continuous learning
Verified matches train the next run.
4-stage
matching engine
Full-catalog
coverage, not sampled
Human-in-the-loop QA
on every edge case

Match types we handle

We run the pipeline, you get the data.

Exact matches

Cross-platform and multilingual.

Fuzzy logic

Pack size, weight, and quantity variants.

Private-label matching

White-label and store-brand SKUs, even without GTINs.

Configurable thresholds

Tuned per category, geography, and use case.

Who it's for

Built for teams who act on the data.

output · Grocery & q-commerce
REST API
BI feed
Dashboard
Custom
{
"your_sku": "PL-220",
"matched": "RIV-8891",
"type": "private_label",
"confidence": 0.96
}

normalized, deduped, and QA’d before it reaches you

Business impact

What the data moves.

Trust the comparison

A price gap you can act on, because the two products really are the same one.

Stop manual mapping

Analysts stop maintaining spreadsheets of competitor SKUs by hand.

Cover the long tail

Full catalog matched, not the top 200 SKUs someone had time for.

Catch private label

See the own-brand products built to undercut yours.

FAQ

Frequently asked questions

See product matching on your data.

Tell us the platforms and coverage you need. We will show you a sample and a plan.