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AI-Powered Vendor & Customer Master Data Cleanup

MasterFile AI automatically cleans, standardizes, enriches, and deduplicates vendor and customer master data using dual AI engines and industry standards. Every output includes confidence scores, so you know exactly how reliable your data is.

Get started
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AI-Powered Vendor & Customer Master Data Cleanup

MasterFile AI automatically cleans, standardizes, enriches, and deduplicates vendor and customer master data using dual AI engines and industry standards. Every output includes confidence scores, so you know exactly how reliable your data is.

Get started

What MasterFile AI Delivers

Vendor & Customer Standardization

Standardize names, addresses, phone numbers, and emails using enterprise master-data methodologies to eliminate inconsistencies across systems.

Domain & Parent Intelligence

AI identifies company domains and ultimate parent relationships, providing confidence scores for every determination.

NAICS Classification

Automatically assign NAICS 2022 industry codes to support analytics, segmentation, and reporting.

Duplicate Detection

Detect true duplicates across ERPs and source systems using MDM-style clustering and similarity scoring.

How It Works

A transparent, AI-driven process designed for accuracy and confidence.

 

STEP 01
file
Upload Your Master Data

Upload your vendor or customer master file from any ERP or source system using our standardized template.

STEP 02
machine-learning
AI Engine Performs Standardization & Enrichment

Our first AI engine standardizes names, addresses, phones, emails, and enriches records with domains and industry data.

STEP 03
deep-learning
Deep AI Reasoning When Confidence Is Low

When confidence thresholds aren’t met, a second AI engine performs deeper analysis to validate domains, parents, and classifications.

STEP 04
duplicate
Duplicate Detection & Clustering

Records are grouped using MDM-style clustering to identify true duplicates across systems and source files.

STEP 05
evaluation
Review & Download with Confidence Scores

Download a clean, enriched output file with confidence scores on every field so you can trust the results.

Standards-Based Normalization

Clean, consistent, auditable master data safe for SAP, Oracle, and enterprise MDM use. Deterministic logic anchored in industry standards.

Data Category
Input (Source Variation)
Canonical Output
Standard Applied
Legal Entity
Starbucks Corp
STARBUCKS CO.
Starbucks Corp., Ltd.
Starbucks Corporation
Entity Suffix Rule Abbreviations and casing normalized to controlled legal aliases.
Address / PO Box
P.O. Box 125
PO BOX #125
125 PO Box
PO Box 125
ISO 19160 Alignment Parsed components ensure PO Boxes are explicitly identified.
Phone Number
(617) 555-0199
617.555.0199
+1-617-555-0199
+16175550199
ITU-T E.164 Normalized to international format for reliable deduplication.
Industry (NAICS)
Industry: Manufacturing
Category: Services
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541511 - Custom Computer Programming
NAICS 2022 Official industry hierarchy mapping.
Confidence: 92%

See Exactly How Clean and Reliable Your Master Data Can Be

Upload up to 10 vendor or customer records for free and see how MasterFile AI standardizes, enriches, and scores your data — no credit card required.

Upload 10 Records (Free)