Synopps Core · AI master data assistant

AI automation of MDM and ERP request processing: class, attributes, equivalents

The assistant helps classify material requests, extract attributes and suggest equivalent materials. Your master data specialist reviews the result before approval.

How the AI master data assistant works

Example on an ERP request form. Integration with your MDM or ERP is scoped for your systems and API requirements.

RequesterClass · Name
Synopps · AIRequest { Name }
Attributes filled inResponse { Attributes, Full_name }
Master data specialistCheck and approval

Capabilities

What the AI assistant does

Our assistant automates the key stages of MDM and ERP request processing, from finding the class to filling in attributes and searching for equivalents.

Finds the master data class automatically

The AI reads the request text, extracts the meaning and finds the exact class of the item under your rules: materials, services, business partners, contracts, units of measure. It also works with unstructured descriptions.

Fills in attributes and standardises data

The assistant extracts attributes such as dimensions, type, material, function and standards from the available description. A specialist reviews the suggested values and resolves missing information.

Recommends equivalents and cuts costs

The AI finds possible equivalents and duplicates in the catalogue, which reduces purchasing errors and saves budget. A specialist checks the suggestions and resolves uncertain matches.

Effect

Why it matters for the business

01

Request preparation

Classification and attribute extraction help specialists prepare records for review.

02

Specialist approval

Your master data team reviews suggestions and makes the final decision.

Implementation

Configured for your systems

  • Plugin for MDM or ERP
  • API
  • Excel or web form

Modules

Other Synopps modules

Synopps software: one engine, three modules for different master data tasks

Case · pharmaceuticals

Case: pharma, 42,000 material lines

Task

Bring 42,000 material records of a pharmaceutical company to a single standard, with highly varied descriptions written in different formats.

Solution

AI tool plus master data expertise: templates for typical constructions, recognition of blocks (size, material, form, standard), semi-automatic validation of disputed cases.

Result

  • 42,00042,000 records cleansed in 3 weeks
  • ~92%Cleansing accuracy of about 92%
  • ↓×4Expert involvement cut 4 times
  • The result carries over to new extracts thanks to the configured templates
More projects

Clients

Our clients

International industrial groups and market leaders

  • Nornickel logo
  • Weatherford logo
  • Transneft Logo
  • Binnopharm Group logo
  • Nordgold logo
  • EKF logo
  • Trident Energy logo
  • X5 Group logo
  • Highland Gold logo
  • Tiger Realm Coal logo
  • Vale logo
  • Statoil logo
  • Shell logo

FAQ

Frequently asked questions

01What is AI master data cleansing?

It is the use of artificial intelligence models (LLMs) to process, unify and clean master data automatically. The system recognises patterns, classifies records and builds standardised descriptions without manual work.

02How does AI help in MDM processes?

The AI assistant integrates with your MDM or ERP or works through an API and web forms. It suggests classes, extracts attributes and helps prepare requests for review by a master data specialist.

03What is the effect for the business?

The assistant helps reduce routine data entry and prepare more consistent records. We assess the effect on your data and agree pilot acceptance criteria before implementation.

04Which data can be cleansed?

Any master data domain: materials, business partners, contracts, specifications and more. The algorithms adapt to the specific structure and language of the data.

05How quickly can the solution be implemented?

We agree the pilot scope and implementation schedule after reviewing your data, systems and integration requirements.

06Do we need data scientists?

No. The Synopps team sets up the models and the methodology. You only provide a data extract and a master data specialist to check the results.

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