Customer Data Source 1

Customer Data Source 2

Step 1: Data Cleansing (Remove errors and duplicates)

Step 2: Data Formatting (Standardize data format)

Step 3: Data Enrichment (Add missing info)

Single Customer View (SCV) Unified Customer Data

Filtering by Data Quality

Detection Phase - Deterministic - Filter by data quality - Match exact phone, email, ID - Score similarity by name, address

Detection Phase - Vector Search - Create embedding from customer data - Search nearest neighbors - Filter by threshold score

Customer Pair (Pairs with similarity scores)

Customer Clusters (Grouped customer IDs)

Update Customer Cluster ID - Update or create cluster IDs - Keep customer data up to date