Curious how product deduplication runs on your data? We'll show you on one real file.
See it on your data →A duplicate SKU costs twice and reports wrong
Duplicates rarely look identical. Years of manual imports, supplier switches and channel migrations leave the same product under different SKUs, different descriptions, sometimes a different unit of measure — invisible to a simple exact-text de-dup rule, and expensive in ways that compound: split reviews, split inventory counts, a search ranking diluted across two listings instead of one. Claro clusters by real product identity rather than surface text, scores every proposed merge, and keeps the history so a merge can be checked or reversed rather than taken on faith.
Why exact-text deduplication misses most duplicates
Years of manual imports leave duplicate SKUs scattered across the catalog.
Near-duplicates — same product, different description — slip past simple de-dup rules.
Duplicate listings split reviews, inventory and search ranking.
How product deduplication works with Claro
The full catalog, not just exact-text matches.
Near-duplicates grouped by real product identity.
A confidence score on every proposed merge.
Reviewed and written back, with history kept.
Who has a duplicate problem
What goes in, what comes back
Claro writes back through files and APIs rather than certified connectors, so this list is a guide, not a limit.
Product deduplication: common questions
What counts as a near-duplicate?
The same real product listed under different SKUs, descriptions, languages or units of measure — cases an exact-text rule will never catch because no two strings are identical.
Does Claro merge records automatically?
No. A merge is one of the highest blast-radius changes in a catalog, so it always goes to a named reviewer whatever the confidence score says.
Can a merge be undone?
Yes. The history of every merge is kept, including which records went in and which evidence supported it, so a merge can be reviewed or reversed rather than taken on faith.
How do you avoid merging genuine variants?
Variants are separated on the attributes that make them different — pack size, seal type, tolerance, finish. When those attributes are missing from the source, the cluster is flagged as uncertain rather than merged.
What does a duplicate actually cost us?
It splits inventory counts and reviews across two listings, dilutes search ranking between them, and can mean buying the same part twice from two suppliers at two prices.
Related work
See it work on your own catalog.
Bring one supplier file and we'll run product deduplication on your real data — matched, classified and reviewable.