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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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Master Data Cleanup

Clean Master Data Your Reports and AI Can Actually Trust

When the same item is recorded five ways, stock, purchasing and reports are all wrong. Our AI finds the duplicates, standardises names, units and codes, fills the gaps and merges the records that mean the same thing.

50+ ERP and software projects. Zero failed projects since 2021.

Item master cleanup
AI
Before
Steel Bolt M8 x 40no unit!
bolt m8 40mm steeldup!
M8x40 BOLT-STLcode BLT-9!
After
Bolt, Steel, M8 x 40 mmEA
Code MDC-10423 merged
120duplicates merged
340gaps filled
Illustrative
1
Clean record per item
3
Record types cleaned
100%
Merges you approve
0
New system to move to
Why It Matters

Messy master data breaks reporting and AI

You cannot trust a stock figure or a purchase report when the same item, vendor or customer is recorded several ways. This fixes the foundation everything else sits on.

The Same Item, Five Ways

One product, recorded five different ways

Over the years the same item gets typed in with different names, units and codes by different people. Stock looks wrong, purchasing double-orders, and no report adds up. The AI matches those records and proposes a single clean version for your team to approve.

  • Duplicates found and grouped by likely match.
  • Names, units and codes standardised to one format.
  • A single clean record once you approve the merge.
Warehouse shelving with many similar stock items
A Foundation You Can Build On

Clean data first, then reporting and AI work

Any AI or dashboard you add inherits whatever mess is underneath it. Fix the master data and the same reports, forecasts and automations suddenly line up with reality. This is the groundwork that makes the rest reliable.

  • Reports that match what is really on the shelf.
  • Gaps in units, codes and categories filled in.
  • A clean base for forecasting and automation.
Team reviewing clean business data on a dashboard
Before And After

What changes when the master data is clean

The AI does the slow matching and checking. Your team approves the merges. Here is the difference it makes day to day.

Messy master data
  • The same item recorded five ways, so stock never adds up.
  • Purchasing double-orders because it cannot find the existing part.
  • Reports disagree with each other and no one trusts them.
  • Missing units and codes break exports and integrations.
  • Any AI you add on top learns from the mess.
Clean master data
  • One clean record per item, vendor and customer.
  • Names, units and codes in a single standard format.
  • Duplicates merged after a person approves each one.
  • Gaps filled, so reports and exports run without errors.
  • A foundation reporting and automation can rely on.
How It Works

From messy records to a clean, approved master

1
Read
We pull your item, vendor and customer records from your ERP or database.
2
Match
The AI groups likely duplicates and records that describe the same thing.
3
Standardise
Names, units and codes are put into one clear, consistent format.
4
Approve
Your team reviews each proposed merge and fix, and approves what is right.
5
Keep clean
The same checks run on new records, flagging duplicates and gaps at entry.
What It Cleans

The records that quietly break everything

Item, vendor and customer master data is the base your reports and automation run on. Here is what the AI fixes.

🔁

Duplicates

Finds records that describe the same item, vendor or customer and groups them so you can merge to one.

🏷

Names and descriptions

Standardises product and party names into one clear format, so the same thing reads the same everywhere.

📏

Units of measure

Fixes and fills units, so a box, a pack and a piece are no longer mixed up in stock and orders.

🔢

Codes and IDs

Applies a consistent coding scheme and spots wrong or reused codes across your item and vendor lists.

🧩

Missing fields

Fills the gaps in categories, units, tax and other required fields that break exports and reports.

👥

Vendor and customer records

Merges the same supplier or customer entered under different names, addresses or tax numbers.

What Changes

What clean master data gives you

One
Clean record per item
Fewer
Double orders on stock
Trusted
Reports that match reality
Ready
Base for AI and forecasting
Human
Approval on every merge
Ongoing
Kept clean going forward
Why Us

Why teams choose TCB Infotech for master data cleanup

1
We know the ERP inside
We build and run ERP systems, so we clean your real item, vendor and customer tables, not a spreadsheet copy.
2
People approve the merges
The AI proposes, your team decides. Nothing is merged or changed until someone signs off on it.
3
Model-agnostic AI
We use whichever AI model fits the job and your rules, not a single vendor you are locked into.
4
Cleans in place
We clean the master data inside your current system and write it back. No new platform to move to.
5
Kept clean going forward
The same checks run on new and edited records, so duplicates and gaps are caught at the point of entry.
6
Proven delivery
50+ projects across industries, with zero failed projects since 2021.
FAQ

Master data cleanup questions

What is master data cleanup?
It is the work of fixing your core records: items, vendors and customers. The AI finds duplicates, standardises names, units and codes, fills missing fields and merges records that describe the same thing, so your reports and automation run on data you can trust.
Does the AI change my data on its own?
No. The AI proposes the duplicates, matches and fixes, and your team approves each merge before anything changes. People stay in control of the records, the AI does the slow matching and checking.
Which systems does it work with?
It cleans the master data inside your existing ERP or database. We read your item, vendor and customer records, clean them, and write the approved changes back. It is not a new system you have to move to.
Why does messy master data matter?
If the same item is recorded five ways, stock, purchasing and reports are all wrong, and any AI you add on top inherits the mess. Cleaning the foundation is what makes reporting and automation reliable.
How long does a cleanup take?
A first pass on one data set usually takes a few weeks, depending on the number of records and how many systems they live in. After that, the same checks run continuously to keep the data clean.
Does the data stay clean afterwards?
Yes. The same rules and checks run on new and edited records going forward, flagging a likely duplicate or a missing unit at the point of entry, so the mess does not build up again.

Clean the Data Your Business Runs On

Book a free consultation. We will look at your item, vendor and customer records and show you what an AI master data cleanup would find and fix for your business.

Book a Free Consultation →

No commitment. A practical first look at your master data.