Does this sound familiar?
If you recognize any of these challenges, it is worth spending 30 minutes reviewing whether AI Item Search fits your situation. If it does not, we will tell you that honestly as well.
AI Item Search
A smarter way to find data
Recognizes obsolete material codes, abbreviations, and synonyms, consolidates scattered data, and connects related records — searching by meaning, not by keywords. Fast, accurate, and with full context.
semantic search · duplicate detection · master data management
30 minutes · online · no obligation
It does not search documents (that is what a RAG search engine is for), but works on the material master. It consolidates item, component, and material data, then makes it searchable by meaning — even when the name or material code differs.
the problem
The same item under five different names
if users do not know the exact code or name, they cannot find it — even though the data is already in the system
abbreviations, typos, and inconsistent naming conventions make the master data unreliable
systems are disconnected, so search remains fragmented
as data volumes grow, finding the right item becomes increasingly difficult
What it does
Core capabilities
Unified data structure
Duplicates and variations consolidated into a single, unified record.
Semantic search
Find the right result even when the name, format, or material code differs.
Related items
The system automatically links related records.
Handling obsolete codes
Recognition of legacy material codes, abbreviations, and synonyms.
AI Item Search — detailed product overview
Download the complete product overview — readable offline and easy to forward to colleagues or decision-makers by email.
You know the current solution is not enough — you just do not know what the next step should be.
This is the most common situation. The intent is there, management support is there — but deciding whether AI Item Search, an international product, or a custom-built solution is the right choice is difficult from the outside. In a 30-minute product demonstration, we help you make that decision.
Why Omnit
What makes it different
1. Deep master data expertise
Built on the foundation of CER and years of master data management experience.
2. Meaning, not keywords
True semantic search — not just faster text matching.
3. Built on existing data
It does not create a new master database; it makes the existing one usable.
Frequently asked questions
Before you start
Most ERP search functions are keyword-based: users must know the exact code. AI Item Search searches by meaning and consolidates variations.
That is exactly what it is designed for: it identifies duplicates and variations and consolidates them into unified records.
No. RAG searches documents, while AI Item Search works on the material master — items, components, and materials.
Book a demo
Take a look at your material master.
In 30 minutes, we will show how items can be found even without knowing the exact material code or name.
Accurate search starts with consistent data.
Contact us
First step
Fill out the form below and we will contact you within 24 hours, or download the detailed “AI Item Search” product overview.
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