Build a Customer Identity Resolution Lab that helps organizations identify duplicate customer records across CRM exports, order systems, support platforms, and spreadsheets. Combine configurable exact-match rules with explainable fuzzy matching using normalized names, email addresses, phone numbers, and other permitted fields. Group likely duplicates into reviewable clusters, show the evidence behind each match, and let users preview merged records before approval. Preserve source identifiers, track field-level provenance, and provide reversible merge decisions. Include configurable confidence thresholds and privacy-conscious handling of personal data. Never automatically merge ambiguous identities or assume that similar names represent the same person.
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