MasterFile AI follows a structured, repeatable process designed to clean, enrich, and validate vendor and customer master data with accuracy, transparency, and confidence at every step.
How the Process Works
STEP 01
File Upload & Validation
Your vendor or customer master file is uploaded using a standardized template. The file is validated for required fields, formatting, and basic structural integrity before processing begins.
STEP 02
AI-Driven Standardization & Enrichment
The primary AI engine standardizes names, addresses, phone numbers, and emails, and en riches records with domains and industry context using recognized data standards..
STEP 03
Deep AI Reasoning for Low-Confidence Records
When confidence thresholds are not met, a secondary AI engine performs deeper analysis to resolve ambiguity, validate domains and parent relationships, and improve classification accuracy.
STEP 04
Duplicate Detection & Record Clustering
Records are analyzed using MDM-style clustering techniques to identify true duplicates across systems and source files while minimizing false positives.
STEP 05
Confidence Scoring & Quality Assessment
Each standardized or enriched field is assigned a confidence score from 0 to 100, allowing you to assess data reliability and determine where review may be required.
Review Results, Analyze Reports, and Download Output
Within the MasterFile AI application, you can review your processing results and analyze your master data using built-in reports. You can also download an Excel output file t hat includes both the original data you submitted and the standardized/ enriched results produced by MasterFile AI (including confidence scores and duplicate indicators).
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