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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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Master Data Cleanup Features

What Is Inside an AI Master Data Cleanup

The service is a working cleanup of your real records, not a report about them. Here is what the AI does, where your team stays in control, and what you are left with.

Core Features

From messy records to a clean, trusted master

Duplicate Matching

The AI finds the same thing recorded many ways

The slow part of any cleanup is spotting that five records are really one item, vendor or customer. The AI reads names, codes, units and other fields, groups the likely matches, and shows its reason, so your team can approve the merge quickly.

  • Likely duplicates grouped with a match reason.
  • Items, vendors and customers all covered.
  • Nothing merged until a person approves it.
Matching duplicate records in a data set
Standardise And Fill Gaps

Names, units and codes in one clear format

Once duplicates are grouped, the AI puts names, units and codes into a single standard and fills the missing fields that break exports and reports. You get one clean, complete record instead of several partial ones.

  • Names and descriptions in one consistent format.
  • Units and codes corrected and made uniform.
  • Missing categories, units and codes filled in.
Standardised, complete data records on screen
Approve And Keep Clean

People approve, then the checks keep running

Your team reviews each proposed merge and fix and approves what is right, so control stays with people. After the first pass, the same checks run on new and edited records, flagging duplicates and gaps at the point of entry.

  • Every merge reviewed and approved by your team.
  • Approved changes written back to your system.
  • Ongoing checks that stop the mess returning.
A person approving proposed data merges
What You Get

Everything the cleanup delivers

🔁

Duplicate report

Grouped duplicate records with a clear match reason, ready for your team to approve.

🏷

Standard formats

Names, units and codes brought into one consistent standard across your records.

🧩

Filled gaps

Missing categories, units, codes and other required fields completed on each record.

Approval workflow

A simple review step where your team approves each merge before it is applied.

🔄

Clean write-back

Approved changes written back into your ERP or database, not a separate copy.

🔒

Ongoing checks

Rules that flag duplicates and gaps on new records, so the data stays clean.

See What the Cleanup Would Find in Your Data

Book a free consultation. We will look at your item, vendor and customer records and scope an AI master data cleanup for your business.

Book a Free Consultation →