Catalog Enrichment
Fill the missing fields. Show your work.
Catalog enrichment is the process of filling missing product attributes such as dimensions, materials, compatibility, certifications, specifications using documents, supplier files, and approved external sources.
Claro performs enrichment as part of its canonical entity layer: every enriched value carries a confidence score and a link back to the source it came from, so your team can verify before write-back. Enrichment runs continuously as new documents and feeds arrive, not as a one-time cleanup.
Built for production systems where source-grounded values matter more than fast generation.
The problem
Attributes are missing
and the information already exists.
Required fields sit empty across thousands of products. The values live in supplier PDFs, datasheets, certificates, and product pages. Nobody can search them. Filters underperform. Search returns thin results.
Required attributes missing at scale
Filters and search underperform
Manual enrichment ties up category teams
How it works
From sparse records to filled attributes — with provenance on every value.
Claro doesn't guess. It pulls from real source documents, scores every value, and shows you the source.
Step 1
Detect Gaps
Claro identifies missing attributes against your canonical schema, taxonomy requirements, and category-specific rules.
Step 2
Find Evidence
Source documents (supplier files, PDFs, datasheets, certificates), previously resolved entities, and approved external references are searched for matching attributes.
Step 3
Extract and Normalise
Values are extracted with units, formats, and allowed values normalized. Every value carries a confidence score and a link to the source document and the specific location within it.
Step 4
Validate and Write Back
Values pass your validation rules (required fields, allowed values, type checks). High-confidence values write through; low-confidence values route to review with source evidence attached.
What you get
Attribute coverage that actually moves the metrics downstream.
Catalog enrichment is only useful if downstream systems can trust it.
Claro fills missing attributes from real source documents — supplier files, datasheets, certificates, approved external sources — with a confidence score and a provenance link on every value. Filters fill. Search relevance improves. AI agents stop hallucinating. Compliance attributes stay covered. Every value is reviewable, traceable, and safe to write back into your production systems.
Who is it for
Built for teams where attribute coverage drives commercial outcomes
Catalog, e-commerce, search, and category teams at marketplaces, distributors, and manufacturers where filter completeness, search relevance, compliance coverage, or AI-readiness depends on attribute coverage.
Critical filters have under 60% attribute coverage
Source documents (PDFs, datasheets) hold the missing values
Need provenance for compliance or AI grounding
Tired of LLM enrichment values you can't verify
“With a better attribute coverage we managed to increase SEO and GEO traffic by 20%”
Chihaz Nahas
Digital Marketing, Sunswap
Generating values is easy. Trusting them is hard.
Most enrichment tools generate attribute values and ask you to trust them. Claro fills attributes from real source documents, attaches provenance to every value, and routes anything below your confidence threshold to review — before it touches a production system.
Problems solved with Claro
LLM-generated values with no source you can verify
filter coverage stuck at 40-60% on critical attributes
Enrich missing attributes from docs and approved sources
compliance attributes silently missing
AI agents hallucinating product specs
Hours of Work. Done in Minutes.
Source-grounded enrichment with confidence, provenance, and review built in.
Book a demo
Provenance Per Attribute
Every value links back to the source document and the specific location. Click through, verify.
Source Allowlists
Restrict which sources Claro can use per category. If a source isn't approved, Claro won't use it.
Source-Grounded Extraction
Values come from real source documents (PDFs, datasheets, supplier files), not LLM prior knowledge.
Confidence Scoring
Every value carries a calibrated confidence score. Configure thresholds per category and attribute.
Validation Before Write-Back
Required fields, allowed values, type checks, business rules — all enforced before values touch your production systems.
FAQ
Frequently asked questions
Does Claro generate attribute values with an LLM?
What happens to values that don't meet our confidence threshold?
Does Claro work when supplier documentation is missing?
Can we restrict which sources Claro uses?
How long does a catalog enrichment pilot take?
