Guides, playbooks, and examples for teams managing messy product, supplier, catalog, and order data across ERP, PIM, procurement, search, pricing, analytics, and AI workflows.

Claro writes about the operational layer behind trusted product data: supplier onboarding, catalog matching, product deduplication, product enrichment, taxonomy mapping, AI validation, ERP/PIM write-back, and the data foundations needed for reliable automation.

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Supplier onboarding
Turn supplier files, spreadsheets, PDFs, emails, portals, and feeds into clean, validated product records.

Catalog matching and deduplication
Resolve duplicate product records, weak identifiers, inconsistent naming, and supplier-specific formats into trusted canonical entities.

Product enrichment and classification
Fill missing attributes, normalize product data, classify records into the right taxonomy, and keep catalogs usable as they grow.

Validation and governance
Use confidence scores, provenance, review workflows, and business rules before writing updates back into ERP, PIM, procurement, search, pricing, or AI systems.

AI-ready product data
Prepare product and supplier data for search, recommendations, procurement automation, pricing workflows, analytics, and AI agents.