How a premium manufacturer matched product variants and monitored prices across 10 websites.

The challenge

Where things stood

Simple SKU lookup could not reliably connect products to marketplace listings — titles were altered, products bundled, identifiers omitted, and specifications varied. Price comparisons lacked context: a 37-liter case is not a 48-liter one, and a single unit is not a pair.

How Claro helped

What changed

Claro used semantic product matching on identity and technical attributes — capacity, weight, color, bundle configuration — to associate listings with the correct product, then tracked pricing and availability across Amazon, eBay, Alibaba, AliExpress, comparison sites and competitor pages, feeding structured data into forecasting and pricing workflows.

Results

What it looks like today

A three-month pilot across roughly 30 SKUs and 10 websites with weekly monitoring, establishing a measurable baseline for listing coverage, matching precision and price-change detection.

What we took from this engagement

Price monitoring is only as reliable as the product matching underneath it.

Claro's conclusion, not a customer statement.