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 is delivered automatically.
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 get back to you 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.
Brief case studies: the data we've collected and the results clients achieved.
Drug prices and availability from pharmacy sources consolidated into one comparable market picture.
The watch catalog completed with full specifications from external sources — no manual entry.
Drop lists from dozens of marketplaces merged into one stream with metrics, age and domain history.
A full registry of .co.uk blogs and news sites plus a ready-to-use HTML corpus in S3 storage.
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.