AI-Powered Vendor Master & Deduplication
AI normalizes vendor names, detects duplicates using fuzzy matching + embeddings, and maintains a clean vendor master — preventing the data quality issues that cause payment errors.
99%+
Dedup Accuracy
Auto
Normalization
Zero
Manual Cleanup
1 Record
Per Vendor
Import from ERP, CSV, or let the system build vendor records from processed invoices. Automatic name normalization.
Fuzzy matching + vector embeddings detect potential duplicates: "Johnson & Johnson" vs "J&J" vs "Johnson and Johnson Inc."
System recommends merges with confidence scores. Human confirms — then all historical records unify under one master.
Every new invoice is checked against the normalized vendor master. New vendor names are matched or flagged for review.
Handles abbreviations, legal suffixes, typos, and alternate names. "Procter & Gamble" matches "P&G" matches "Proctor and Gamble."
AI embeddings capture semantic similarity beyond string matching. Catches related entities that string algorithms miss.
Strips legal suffixes, normalizes punctuation, and creates canonical forms. Consistent data without manual cleanup.
Links to tax ID, DUNS number, address, payment terms, and default GL accounts. One source of truth per vendor.
No. The system recommends merges with confidence scores. Humans approve or reject each recommendation.
Cross-system deduplication works across connected databases. "ABC Corp" in Oracle and "ABC Corporation" in SAP are linked.
Free 48-hour scan. We connect read-only, find hidden savings, and show you exactly what we found. You pay nothing unless we deliver results.