Claro AI

Claro helps distributors, manufacturers, marketplaces and vertical platforms keep product and supplier data reliable as their catalogs change.

In these businesses, product data arrives from many suppliers, systems and files: spreadsheets, PDFs, ERP/PIM exports, APIs, portals and partner feeds. The result is duplicate records, missing attributes, inconsistent taxonomies and downstream workflows that cannot safely rely on the data.

Claro sits above existing systems of record and runs a continuous catalog operations loop: ingest and structure messy inputs, resolve product identity, normalize attributes, enrich missing information, validate proposed updates with confidence and provenance, route uncertain cases to human review, and write trusted records back into ERP, PIM, search, procurement, pricing, analytics and AI workflows.

Unlike one-time enrichment tools, Claro is built for weak-standard, multi-supplier environments where product data changes continuously. Our goal is to make catalogs self-improving over time so companies can onboard suppliers faster, reduce manual cleanup, improve attribute coverage, prevent duplicates and make AI and operational workflows more reliable.