Clean and enrich your supplier database
Deduplicate, normalize names, verify IBANs and score the quality of your supplier database.
Introduction
The supplier database is polluted: duplicates, outdated IBANs, inconsistent names, expired addresses. It's a fake IBAN fraud risk and a source of payment errors.
Phacet analyzes your database through fuzzy matching, detects duplicates, normalizes names and addresses, checks IBAN consistency and assigns a quality score to each record. Result: a reliable, deduplicated database ready for migration or audit.
When to use this Phacet
Built for CFOs, accountants or procurement managers who want to:
• Clean a supplier database polluted by years of accumulation.
• Merge duplicates and normalize names and addresses.
• Check IBAN consistency and detect suspicious bank details.
• Prepare an ERP migration or audit with a clean database.
AI skills involved
Normalize formats, names and amounts across all your sources
Every tool exports differently - dates in three formats, amounts with commas or dots, supplier names in inconsistent casing, currencies without symbols. Phacet normalizes everything before processing so every comparison is accurate, regardless of where the data came from.
Automatically classify your transactions, entries and documents
Phacet assigns categories, analytical codes or custom labels to your data - based on your rules, your chart of accounts, or patterns it learns from your history. Bank transactions, supplier invoices, expense lines: everything is classified consistently, at scale.
Cross-check your data against trusted external sources
Phacet can query external databases to verify or enrich your data - SIRET numbers and legal details via INSEE, intra-community VAT via VIES, bank details, official FX rates. Ideal for supplier onboarding controls, compliance checks and fraud prevention.
Route exceptions to the right person and track every decision
Phacet doesn't decide edge cases alone. It routes ambiguous results to the right person with full context - original document, matched data, confidence score. Your team validates, corrects or rejects. Every decision is logged. The AI learns from each correction and gets more accurate over time.
Business impact
IBAN fraud prevented, reliable database
Suspicious IBANs are identified. Duplicates are merged. Every payment goes to the right beneficiary.
82% time savings vs. manual cleanup
From 1-2 days to 2 hours. Cleanup is automatic; you validate proposed merges.
Database ready for migration or audit
Quality score per record, merged duplicates, normalized data. Ready for an ERP change or external audit.
Integrated with everything
Steps to get Started
Export your supplier database
Load your supplier database export (names addresses, IBANs, contacts) from your ERP.
Automatic analysis and cleanup
Phacet detects duplicates via fuzzy matching normalizes data and verifies IBANs.
Quality score and proposed merges
Each record receives a quality score Duplicate merges are proposed for validation.
Validate and reimport
Validate the merges export the cleaned database and reimport into your ERP.
Unlock your AI potential
Do more with your existing resources using tailored AI solutions.
Frequently Asked Questions
Yes. Phacet normalizes legal forms, accents, case and abbreviations before comparing.
Yes. Phacet can cross-reference IBANs with external databases to verify bank/country/holder consistency.
Yes. Cleanup can run quarterly to maintain data quality over time.
From a few hundred to tens of thousands. Processing is parallelized.
No. Phacet proposes merges and modifications. You validate before any change to the source database.
