CrossER / data /knowledge_docs /KDOC-0002_procedure_commodity_trading.md
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Cross-System Product Matching Procedure

Steps

  1. Extract product records from both source systems
  2. Normalize product names (remove system-specific prefixes, standardize units)
  3. Compare key attributes: category, sub_category, grade, concentration
  4. Apply fuzzy matching on normalized names (threshold: 0.7)
  5. For matches above threshold, verify with attribute comparison
  6. For ambiguous cases (0.5-0.7), escalate to domain expert
  7. Document decision and update mapping table

Key Discriminators

  • Product grade (Food vs Technical vs USP)
  • Concentration/DE values
  • Source vs processed form (crude vs refined)
  • Regional naming conventions (German vs English vs abbreviated)

Escalation Criteria

  • String similarity < 0.5 but attributes match
  • String similarity > 0.7 but attributes conflict
  • Legacy system codes with no clear mapping