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.
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.
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.
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.
Grouped duplicate records with a clear match reason, ready for your team to approve.
Names, units and codes brought into one consistent standard across your records.
Missing categories, units, codes and other required fields completed on each record.
A simple review step where your team approves each merge before it is applied.
Approved changes written back into your ERP or database, not a separate copy.
Rules that flag duplicates and gaps on new records, so the data stays clean.
Book a free consultation. We will look at your item, vendor and customer records and scope an AI master data cleanup for your business.
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