Where things stood
The organization needed to consolidate records from multiple property sources into one trusted view. Addresses arrived in inconsistent formats, abbreviations, coordinates and identifiers, with no shared key to tell whether two entries described the same real-world location.
What changed
Claro compared normalized addresses, geolocation data, source identifiers and descriptive attributes to generate candidate entity links with confidence levels and supporting evidence — records above the acceptance threshold connect automatically, uncertain pairs go to review, and low-confidence records stay separate.
What it looks like today
A working evaluation of Claro's entity-resolution methodology applied to place data, ahead of a full production deployment.
Black-box match scores were insufficient; teams needed to understand which address, geolocation, and source signals supported proposed canonical entities.