We find the same product across different platforms and link it to your price list: by barcodes, part numbers, names, attributes, and photos. ML algorithms plus manual review of borderline pairs — matches you can trust for price monitoring and analytics.
Every price or assortment comparison starts with correct matches — otherwise you're comparing apples to oranges.
Link your catalog to competitors' so price monitoring compares identical products.
Find all your products across platforms — including listings with distorted titles.
Get ready-made matches for your price comparison products and catalogs.
Compare assortment matrices: overlap, unique items, close equivalents.
Three engagement models to fit the task: a one-time export, recurring data delivery, or a custom solution. We price to your sources, volume, and frequency — you get an estimate before we start.
Capture data once — for research, migration, or analysis.
Data refreshes on a configurable schedule — weekly, daily, or hourly — and arrives on its own.
Turnkey data as a service: API access, DaaS, or a ready-made interface, dozens of sources, and SLAs.
The final cost comes down to clear factors. We send an estimate and a data sample before work starts.
Describe the task and volume — we'll come back with a cost estimate, timeline, and a data sample within one business day.
Matching runs as a cascade: exact keys first — barcodes and manufacturer part numbers; then ML models over names, attributes, and images; then manual review of borderline pairs. Every match gets a confidence score, and the rules for what counts as the same product (a different color? a different pack size?) are agreed to fit your task.
It's the combination of algorithms and manual validation that delivers 98%+ accuracy: pure ML stumbles on similar models, and pure manual work doesn't scale.
Price monitoring without matching compares the incomparable: a competitor's "equivalent" product may turn out to be a different pack size or last year's model. Correct matches are the foundation of repricing, MAP compliance, and assortment comparison.
A separate use case is finding your own products: marketplace sellers publish listings with distorted titles and someone else's photos. We find them by a combination of signals — the brand sees every one of its products in the channel, including the ones someone tried to hide.
A match table — your SKU to the platform listing — with a confidence score, or an API. We keep matches alive: platform listings die and get recreated, so we re-verify and re-link on a schedule.
Before you commit, we'll match a few hundred items free — judge the accuracy on your own catalog.
We have been collecting price, product, and market data since 2015 — and we know monitoring is only valuable when data arrives reliably and in the right shape.
Barcodes → ML over attributes and photos → manual review: accuracy without losing scale.
Every match carries a confidence score; accuracy is verified on a sample.
What counts as "the same product" — pack sizes, colors, bundles — is configured for you.
Platform listings change — we re-verify and re-link on a schedule.
A transparent process: an estimate and a data sample before work starts. No hidden fees, no surprises.
You send a price list or catalog and name the target platforms.
We match a sample free — you see the accuracy before paying.
The algorithm cascade plus manual review of borderline pairs across the whole catalog.
A match table or API — and, on subscription, ongoing upkeep.
Ready-made product matches — the foundation for price monitoring and analytics.
Your SKU mapped to platform listings, with a URL and confidence score for every pair.
What was found, what isn't listed on the platforms, and where equivalents were found.
Matches are available via API — they plug straight into your repricer and BI.
Scheduled re-verification and re-linking — no dead links.
Price and assortment monitoring is one part of a larger data operation. We'll build the right setup for your task.
Can't find the answer you need? Send a request — we reply within one business day.
In categories with barcodes and part numbers, 99%+; in tricky ones (apparel, groceries), 96–98% thanks to manual review. Accuracy is verified on a control sample.
We match on a combination of signals: name, brand, attributes, images. Borderline pairs go to manual review — the matches contain no "similar but different" products.
That's up to you: equivalence rules (pack size, color, bundle) are configured for your task before we start.
Yes — platform listings die and get recreated. On subscription we re-verify matches on a schedule and send a delta of changes.
Base pricing starts at $150. The final price depends on the number of sources, data volume, update frequency, protection complexity, and extra processing. We send an exact estimate and a data sample before work starts.