Customer and supplier master dataSetup on request

Item master data cleansing that respects variants and units

The same item can appear under several descriptions or supplier codes. Similar names can also describe different sizes. A custom item workflow can standardize usable fields without treating every near match as the same product.

How could item data be harmonized and checked for duplicates?

A project can combine formatting rules with item-specific evidence: manufacturer and part number, GTIN where available, dimensions, unit and pack quantity. Exact identifiers can narrow candidates; conflicting variants stay separate. Similarity scores help reviewers find candidates rather than prove interchangeability.

Item rules that need a business definition

Descriptions, units and attributes

Agree naming patterns, whitespace, abbreviations, unit labels, categories and required technical attributes. Converting a unit label is different from converting quantities; dimensional conversions need explicit rules.

Duplicate candidates with context

Compare manufacturer numbers and available identifiers alongside dimensions, material, variant and packaging. Do not merge two products just because their descriptions resemble one another.

Controlled corrections

Preview field changes and proposed duplicate groups. Retain source item IDs, exclude obsolete or locked items as agreed and require separate approval for any consolidation.

How it works

  1. 1

    Select an item scope

    Choose item groups, number ranges or a limited sample. Confirm whether the task covers an ERP item master, a PIM catalogue or a supplier feed.

  2. 2

    Define the item standard

    Agree preferred descriptions, unit mappings, mandatory attributes and matching evidence. Decide which fields may be filled, replaced or left unchanged.

  3. 3

    Review differences and matches

    Inspect before-and-after fields and duplicate candidates. Confirm whether a pack of ten and a single unit represent distinct saleable items.

  4. 4

    Publish approved master data

    Apply only supported, approved fields in the agreed system and report successes, exclusions and errors. Test source restrictions before a larger rollout.

Practical example

Same bolt, or a different pack?

“HEX BOLT M8 X 30” and “Hex bolt M8×30” could share a manufacturer number. One record may still represent 100 pieces while the other represents one. A custom rule can normalize the description and flag the relationship while blocking an automatic merge across pack sizes.

Item processing is a custom implementation option. Stock movements, valuations, price lists, bills of materials and substitutions are outside this example unless explicitly scoped; identifier matches are not product certification.

Frequently asked questions

Which item fields could be standardized?
Descriptions, category labels, unit labels and available attributes are examples. The supported fields and conversions depend on your source API and agreed business rules.
Does SAP or Salesforce connectivity already include items?
The current standard workflows focus on Business Partners. Item endpoints, product objects and field mappings require a separate assessment and implementation.
Can exact duplicates be processed automatically?
Only under an agreed rule with enough independent evidence and no variant conflicts. Similar products remain review candidates; a matching name alone is insufficient.
Will cleanup change stock or financial values?
Not in this proposed scope. Any operation affecting stock, valuation, prices or dependent product structures requires separate design and approval.

What should your data process do differently?

Use the Contact page to describe your systems, record types and the problem you want to solve. We will agree the scope, access and acceptance criteria before implementation.