How a quick-commerce marketplace standardized product data across thousands of merchant catalogs.

Thousands of merchants submitted product information with inconsistent naming, categories, units, pack sizes and languages, producing duplicate listings, unreliable filters, fragmented search results and downstream data nobody fully trusted.

Claro runs as a continuous standardization layer above the existing systems: detecting new and changed merchant records, resolving duplicates, normalizing attributes and units, mapping merchant categories to a shared taxonomy, and returning confidence-scored decisions for review.

More consistent product records across every merchant catalog.

Duplicate and near-duplicate listings consolidated into canonical products.

Better category placement and more reliable search, with confidence-based review for the uncertain cases.