Claim Extractor Agent - Automated Cosmetic Packaging Claims Knowledge Graph Generator

Purpose

Automate end-to-end extraction, classification, and validation of cosmetics-related claims from packaging assets, producing a structured knowledge graph suitable for downstream systems and audits.

Primary users

• Regulatory Affairs / Compliance teams
• Marketing & Product teams (claims substantiation and consistency)
• Digital / PIM teams managing product libraries
• Data / Search teams enabling internal discovery over product claims

Where it fits (process/stage/trigger)

• Triggered when new packaging artwork is received, updated, or localized (PDF/image)
• Used pre-launch for claims approval, and post-launch for portfolio monitoring and regulatory readiness
• Also supports periodic audits of existing product libraries

Key capabilities / workflow

• Enhanced OCR for robust text extraction from PDFs and images
• Claim extraction and categorization (marketing, scientific, regulatory)
• Graph building to structure results into a cosmetics claim knowledge graph
• Graph validation to enforce >93% accuracy target and compliance checks, with iterative re-processing when thresholds are not met

Inputs

• Packaging files: PDF or image formats (e.g., scans, renders, label photos)
• Optional: product identifiers/SKU, market/region, language, ingredient lists (e.g., INCI), and internal regulatory rulesets (if available)

Outputs / Deliverables

Validated cosmetics claim knowledge graph linking:

• Products
• Ingredients
• Extracted claims (typed/categorized)
• Regulatory metadata and relationships
• API-ready structured outputs for integration into downstream platforms (e.g., PIM/digital product libraries, internal search)

Value

• Reduces manual effort and turnaround time for claims review and structuring
• Improves traceability of claims across products, ingredients, and packaging versions
• Enables scalable regulatory audits, marketing validation, and searchable internal knowledge