Tutorials

Vendor Master Clean Up Checklist: What to Include in Your Cleanup

Discover what should be included in vendor master clean up. Get a complete checklist to standardize vendor data, remove duplicates, validate information, and prepare for ERP import.

RowTidy Team
Nov 19, 2025
14 min read
Vendor Management, Data Cleaning, ERP, Checklist, Data Quality

Vendor Master Clean Up Checklist: What to Include in Your Cleanup

If your vendor master has duplicate entries, inconsistent formats, missing data, or invalid information—your ERP system won't work properly. 71% of companies report vendor master data quality issues that cause payment delays, duplicate orders, and reporting errors.

By the end of this guide, you'll have a complete checklist of what to include in vendor master clean up and step-by-step instructions to execute it.

Quick Summary

  • Complete vendor master clean up checklist (20+ items)
  • How to detect and fix common vendor data issues
  • Validation rules for vendor information
  • ERP-ready vendor master format and export process

Common Problems in Vendor Master Data

  1. Duplicate vendor entries - Same vendor with multiple codes or names
  2. Inconsistent vendor codes - V-001, V001, V_001 formats mixed
  3. Missing required fields - No tax ID, address, or contact information
  4. Invalid tax IDs - Wrong format, missing digits, or duplicates
  5. Non-standardized addresses - St. vs Street, inconsistent formats
  6. Outdated vendor status - Active vendors marked inactive, vice versa
  7. Incorrect payment terms - Wrong Net 30/45/60 codes
  8. Mixed currency formats - USD, $, US Dollar all used
  9. Broken vendor hierarchies - Parent-child relationships incorrect
  10. Missing vendor classifications - No category, type, or risk rating

Vendor Master Clean Up Checklist

Category 1: Vendor Identification (Required)

✅ 1. Vendor Code Standardization

What to Check:

  • All vendor codes follow consistent format (e.g., V-001, V-002)
  • No spaces, special characters, or mixed formats
  • Codes are unique (no duplicates)

Wrong Examples:

V-001
V001
V_001
vendor_001
VENDOR-001

Right Example:

V-001
V-002
V-003

Excel Formula:

="V-"&TEXT(ROW()-1,"000")

Action: Standardize all vendor codes to one format.


✅ 2. Vendor Name Normalization

What to Check:

  • Legal company names are consistent
  • Proper case (Title Case)
  • Legal suffixes standardized (LLC, Inc., Corporation, Ltd.)
  • No extra spaces or punctuation

Wrong Examples:

Acme Corp
Acme Corporation
Acme Corp.
ACME CORP
acme corp

Right Example:

Acme Corporation

Excel Formula:

=PROPER(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A2,"Corp.","Corporation"),"Inc.","Incorporated"),"LLC.","LLC"),"Ltd.","Limited"))

Action: Normalize all vendor names to consistent format.


✅ 3. Remove Duplicate Vendors

What to Check:

  • Duplicate vendor codes
  • Duplicate vendor names (fuzzy match)
  • Duplicate tax IDs
  • Same vendor with different codes

Excel Formula for Duplicate Detection:

=COUNTIF($B$2:$B$1000, B2)>1

Action: Identify duplicates, merge records, keep one master entry.


Category 2: Tax & Legal Information (Required)

✅ 4. Tax ID Validation

What to Check:

  • EIN format: XX-XXXXXXX (9 digits)
  • VAT format: Country-specific validation
  • No missing tax IDs
  • No duplicate tax IDs (except for parent companies)

EIN Validation Formula:

=IF(LEN(SUBSTITUTE(A2,"-",""))=9, "Valid", "Invalid")

Action: Validate all tax IDs, flag invalid or missing ones.


✅ 5. Legal Entity Type

What to Check:

  • Legal entity type is specified (Corporation, LLC, Partnership, Sole Proprietorship)
  • Consistent abbreviations
  • Matches company name suffix

Action: Standardize legal entity types.


✅ 6. Business Registration Status

What to Check:

  • Active business registration
  • No suspended or dissolved companies
  • Registration numbers valid (if tracked)

Action: Verify business status, flag inactive vendors.


Category 3: Contact Information (Required)

✅ 7. Email Address Validation

What to Check:

  • Valid email format (contains @ and domain)
  • No typos or invalid domains
  • Primary contact email specified
  • Accounts payable email (if different)

Email Validation Formula:

=IF(AND(ISNUMBER(SEARCH("@",A2)), ISNUMBER(SEARCH(".",A2,SEARCH("@",A2)))), "Valid", "Invalid")

Action: Validate all email addresses, correct typos.


✅ 8. Phone Number Standardization

What to Check:

  • Consistent phone format: (XXX) XXX-XXXX
  • Country code included for international vendors
  • No missing phone numbers for key contacts

Phone Formatting Formula:

="("&LEFT(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A2,"(",""),")",""),"-",""),3)&") "&MID(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A2,"(",""),")",""),"-",""),4,3)&"-"&RIGHT(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A2,"(",""),")",""),"-",""),4)

Action: Standardize all phone numbers to consistent format.


✅ 9. Contact Person Information

What to Check:

  • Primary contact name specified
  • Accounts payable contact (if different)
  • Sales contact (if applicable)
  • Contact titles/roles

Action: Ensure key contacts are identified and contactable.


Category 4: Address Information (Required)

✅ 10. Billing Address Standardization

What to Check:

  • Complete address (street, city, state, ZIP, country)
  • Standardized street suffixes (St. → Street, Ave. → Avenue)
  • Consistent state abbreviations (CA, NY, TX)
  • Valid ZIP/postal codes

Address Standardization Formula:

=SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(A2,"St.","Street"),"Ave.","Avenue"),"Rd.","Road"),"Blvd.","Boulevard"),"Dr.","Drive")

Action: Standardize all billing addresses.


✅ 11. Shipping Address (If Different)

What to Check:

  • Shipping address specified if different from billing
  • Complete shipping address information
  • Default shipping method/terms

Action: Verify shipping addresses are complete and accurate.


✅ 12. Address Validation

What to Check:

  • Addresses are real and deliverable
  • ZIP codes match cities/states
  • International addresses formatted correctly

Action: Validate addresses using address validation service or manual verification.


Category 5: Financial Information (Required)

✅ 13. Payment Terms Standardization

What to Check:

  • Consistent payment term codes (Net 30, Net 45, Net 60)
  • No typos or variations (Net30, net 30, NET 30)
  • Terms match vendor agreements

Payment Terms Standardization:

Net30 → Net 30
Net45 → Net 45
Net60 → Net 60

Action: Standardize all payment terms.


✅ 14. Currency Standardization

What to Check:

  • Consistent currency codes (USD, EUR, GBP, INR)
  • No mixed formats ($, USD, US Dollar)
  • Default currency specified per vendor

Action: Standardize currency to ISO codes (USD, EUR, etc.).


✅ 15. Bank Account Information

What to Check:

  • Bank account numbers (if required for ACH/wire)
  • Bank routing numbers (US)
  • SWIFT codes (international)
  • Account holder name matches vendor name

Action: Verify bank information is accurate and complete.


✅ 16. Credit Limit & Terms

What to Check:

  • Credit limits specified (if applicable)
  • Credit terms match payment terms
  • Credit status (approved, pending, denied)

Action: Review and update credit information.


Category 6: Vendor Status & Classification

✅ 17. Vendor Status (Active/Inactive)

What to Check:

  • Active vendors marked as "Active"
  • Inactive/closed vendors marked as "Inactive"
  • No vendors with blank status
  • Status matches actual business relationship

Action: Review and update vendor status for all entries.


✅ 18. Vendor Classification

What to Check:

  • Vendor type/category specified (Supplier, Service Provider, Contractor, etc.)
  • Industry classification (if tracked)
  • Risk rating (Low, Medium, High)

Action: Classify all vendors consistently.


✅ 19. Vendor Hierarchy

What to Check:

  • Parent-child vendor relationships correct
  • Subsidiaries linked to parent companies
  • No circular references

Action: Verify and correct vendor hierarchies.


Category 7: Compliance & Certifications

✅ 20. Certifications & Compliance

What to Check:

  • ISO certifications (9001, 14001, etc.)
  • Industry-specific certifications
  • Compliance status (GDPR, SOC 2, etc.)
  • Certification expiration dates (if tracked)

Action: Document and validate vendor certifications.


✅ 21. Insurance Information

What to Check:

  • Insurance coverage amounts
  • Policy expiration dates
  • Insurance provider information

Action: Verify insurance information is current.


Category 8: Data Quality & Completeness

✅ 22. Required Fields Completeness

What to Check:

  • All required fields populated (no blanks)
  • Mandatory fields: Vendor Code, Name, Tax ID, Address, Contact
  • Optional fields: Complete where possible

Completeness Check Formula:

=IF(AND(A2<>"", B2<>"", C2<>"", D2<>"", E2<>""), "Complete", "Incomplete")

Action: Fill in missing required fields.


✅ 23. Data Consistency

What to Check:

  • Consistent data formats across all vendors
  • No conflicting information (e.g., vendor name doesn't match tax ID)
  • Dates in consistent format (YYYY-MM-DD)

Action: Review and correct inconsistencies.


✅ 24. Historical Data Preservation

What to Check:

  • Purchase history preserved when merging duplicates
  • Payment history linked correctly
  • Contract information maintained

Action: Ensure historical data is not lost during cleanup.


Step-by-Step Clean Up Process

Step 1: Export Current Vendor Master

Export vendor master from ERP system to Excel for analysis.

Export Format:

  • Excel (.xlsx) or CSV
  • Include all vendor fields
  • Include vendor history (if needed)

Step 2: Create Backup

Before making any changes:

  1. Create backup copy of original vendor master
  2. Save with date stamp: vendor_master_backup_2025-11-19.xlsx
  3. Store in secure location

Action: Never work on original file without backup.


Step 3: Run Data Quality Analysis

Use Excel formulas or RowTidy to identify:

  • Duplicate vendor codes
  • Duplicate vendor names
  • Missing required fields
  • Invalid formats
  • Inconsistent data

Create Quality Report:

Issue Type Count Severity
Duplicate Codes 15 High
Missing Tax IDs 8 High
Invalid Emails 12 Medium
Inconsistent Names 25 Medium

Step 4: Fix Issues by Category

Follow checklist order:

  1. Fix vendor identification (codes, names, duplicates)
  2. Validate tax & legal information
  3. Standardize contact information
  4. Normalize addresses
  5. Fix financial information
  6. Update status & classification
  7. Verify compliance data
  8. Complete missing fields

Step 5: Validate Cleaned Data

Validation Checks:

  • All required fields populated
  • No duplicate vendor codes
  • All tax IDs valid format
  • All emails valid format
  • All addresses complete
  • Status fields consistent

Validation Formula:

=IF(AND(Code_Unique, TaxID_Valid, Email_Valid, Address_Complete), "Pass", "Fail")

Step 6: Export Clean Vendor Master

Export Format for ERP:

  • CSV (most ERP systems)
  • Excel with specific column order
  • Include only active vendors (if separate export)

Required Columns:

  1. Vendor Code
  2. Vendor Name
  3. Tax ID
  4. Billing Address
  5. Contact Email
  6. Contact Phone
  7. Payment Terms
  8. Currency
  9. Status

Real Example: Vendor Master Clean Up

Before (Messy Vendor Master):

Vendor Code Vendor Name Tax ID Email Phone Address Status
V-001 Acme Corp 12-3456789 john@acme.com 5551234 123 Main St Active
V001 Acme Corporation 12-3456789 john@acme.com (555) 123-4567 123 Main Street Active
V_001 ACME CORP 123456789 - 555-123-4567 123 Main St. -
V-002 Beta LLC 98-7654321 contact@beta 5559876 456 Oak Ave Active
V-003 - - admin@gamma.com - 789 Pine Rd Active

After (Clean Vendor Master):

Vendor Code Vendor Name Tax ID Email Phone Address Status
V-001 Acme Corporation 12-3456789 john@acme.com (555) 123-4567 123 Main Street Active
V-002 Beta LLC 98-7654321 contact@beta.com (555) 987-6543 456 Oak Avenue Active
V-003 Gamma Inc 11-2233445 admin@gamma.com (555) 111-2222 789 Pine Road Active

Changes Made:

  • Removed 2 duplicate Acme entries
  • Standardized vendor codes (V-001, V-002, V-003)
  • Normalized vendor names (Corporation, LLC, Inc.)
  • Validated and formatted tax IDs
  • Fixed email addresses
  • Standardized phone format
  • Normalized addresses (Street, Avenue, Road)
  • Completed missing vendor information

Mini Automation Using RowTidy

You can clean your entire vendor master in 10 seconds using RowTidy's AI Recipes.

The Problem:
Manual vendor master clean up takes 20-40 hours for 1,000 vendors:

  • Finding duplicates
  • Standardizing formats
  • Validating data
  • Fixing inconsistencies

The Solution:
RowTidy automates vendor master clean up:

  1. Detect duplicates - Finds duplicate vendors by code, name, and tax ID
  2. Standardize formats - Normalizes codes, names, addresses, phone numbers
  3. Validate data - Checks tax IDs, emails, addresses for validity
  4. Complete missing fields - Flags required fields that need input
  5. Export ERP-ready - Generates clean vendor master in ERP format

RowTidy Recipe for Vendor Master Clean Up:

  • Upload vendor master Excel/CSV
  • AI detects duplicates and inconsistencies
  • Automatically standardizes formats
  • Validates tax IDs, emails, addresses
  • Generates clean vendor master
  • Exports in ERP import format

Time saved: 30 hours of manual work → 5 minutes

Instead of spending weeks cleaning vendor master data manually, let RowTidy automate the entire process. Try RowTidy's vendor master clean up recipe →


FAQ

1. How often should I clean up vendor master data?

Clean vendor master quarterly for active maintenance, or before major ERP upgrades. Annual deep clean recommended for all companies.

2. What's the minimum required information for a vendor?

Minimum: Vendor Code, Vendor Name, Tax ID, Billing Address, Contact Email. Additional fields depend on your ERP requirements.

3. How do I handle vendors with multiple locations?

Option 1: Create separate vendor codes for each location (V-001-HQ, V-001-WH). Option 2: Use vendor hierarchy with parent-child relationships.

4. What if I find duplicate vendors with different purchase history?

Merge duplicates carefully. Preserve all purchase history, contracts, and payment records. Link history to the master vendor record before deleting duplicates.

5. How do I validate international tax IDs (VAT, GST)?

Use country-specific validation rules. RowTidy supports VAT validation for EU countries, GST for India, and other international formats.

6. Should I clean up inactive vendors or delete them?

Keep inactive vendors but mark them as "Inactive" status. Don't delete—you may need historical data for reporting and compliance.

7. How do I prevent vendor master data from getting messy again?

Implement data validation rules in ERP, require complete vendor information during onboarding, and conduct quarterly data quality audits.

8. Can I automate vendor master clean up?

Yes. Use tools like RowTidy to automate duplicate detection, format standardization, and data validation. Manual review still needed for complex cases.

9. What's the best format for ERP vendor master import?

Most ERP systems accept CSV format with specific column order. Check your ERP vendor master import template for exact requirements.

10. How do I handle vendor name changes (mergers, acquisitions)?

Update vendor name but keep the same vendor code to preserve history. Add a note field documenting the name change date and reason.


Related Guides


Conclusion

A clean vendor master is essential for accurate procurement, payments, and reporting. By following this comprehensive checklist—standardizing codes and names, validating tax IDs and contacts, normalizing addresses, and ensuring data completeness—you'll have an ERP-ready vendor master that prevents errors and saves time.

Try RowTidy — automate your vendor master clean up and save 30+ hours of manual work.