Public product record
Polish supplier namingCatalog no.KVAC820825
OEMAC820825
ProductKoło wentylatora
ApplicationOptima / Optima HD
Solutions / Catalog AssemblySupplier feeds → one catalog record
Poor supplier data
Turn Inconsistent Supplier Feeds into Usable Product Data
Supplier data is rarely delivered in the exact structure your catalog needs.
For ENRIVAQ, enrichment means completing the usable card: validated technical attributes are combined with SEO keyword targets, unique factual product content, SEO metadata and target-language output rather than being delivered as attributes alone.
One vendor may provide detailed technical attributes, another only a title and part number, and a third may use different units and names for the same fields. ENRIVAQ helps clean, map, enrich and validate supplier product data before it becomes part of your PIM or ecommerce catalog.
Public catalog record
Identifier-led recordArticleAC820825
EAN8716106986118
BrandKverneland / Accord
Product typeFan impeller
Public product record
Russian supplier namingOEMAC820825
ProductКрыльчатка вентилятора
ApplicationOptima / Optima NT2
Weight2.60 kg candidate
Different conventions
same catalog concept
same catalog concept
Canonical product structureTarget schema
manufacturer_part_numberAC820825
ean8716106986118
canonical_product_nameKverneland Fan Impeller
compatibilityOptima / Optima HD
weightREVIEW · conflicting sources
Typical supplier issues
The feed may be valid for the supplier and still poor for your catalog
Supplier data problems are often structural rather than obviously “wrong.” The catalog problem appears when several different conventions have to coexist downstream.
Different names
Outer Ø, outside diameter and external diameter may describe the same catalog concept.Mixed unitsmm, cm and m can represent the same measurement in different source feeds.
Empty fieldsStructured columns can exist while the technical value itself is absent.
Different shapesOne supplier sends many columns, another hides details inside title or description text.
Duplicate attributesThe same concept can be created several times under different supplier names.
Broken filtersValues cannot reliably power filters when units and formats are inconsistent.
Manual cleanupTeams have to interpret supplier conventions before products can be published.
Incomplete recordStandardizing what exists still does not fill technical information the supplier never supplied.
Multi-supplier example
Three suppliers can describe the same concept three different ways
The point is not to criticize suppliers. Each source has its own system. Your catalog needs one target structure that can absorb those differences.
Koło wentylatoraAC820825
Local-language product naming with the OEM reference preserved.
Fan impellerAC820825
Identifier-led catalog naming with EAN context.
Крыльчатка вентилятораAC820825
Different language and catalog phrasing for the same OEM reference.
canonical_product_nameDifferent supplier naming is mapped to one controlled product concept.
Reference mappingExisting public-source examples for AC820825: Korbanek, Kramp and LBR use different catalog conventions while referring to the same OEM reference.
Standardization
Map supplier fields into one canonical schema
The cleanup workflow should first define how source attributes correspond to the target product model. Different supplier labels can then map into the same canonical field.
Koło wentylatoraAC820825
Fan impellerAC820825
Крыльчатка вентилятораAC820825
EAN8716106986118
canonical_product_nameKverneland Fan Impeller
manufacturer_part_numberAC820825
ean8716106986118
compatibilityOptima / Optima HD
Missing data enrichment
Clean data is not enough when the supplier record is still incomplete
Standardization can make existing data consistent, but it cannot create technical information that the supplier never provided.
Use what the supplier delivered
After mapping and normalization, the record may still contain empty technical fields.
OEM / MPNpresent
Outer diameternormalized
Materialnot supplied
Descriptionweak / missing
Treat the supplier feed as the starting point
Where additional relevant evidence exists, missing information can be researched, extracted and validated before it is added to the catalog record.
Existing fieldspreserved
Missing fieldsresearch if evidence exists
Unresolved fieldsremain visible
Source evidence
Verified source / context
Verified source / context
That allows the business to use supplier data as the starting point rather than treating it as the absolute limit of the product record.
Validation
Supplier values can also be wrong, outdated or contradictory
A supplier feed should not be treated as automatically correct simply because it is structured.
Field maps cleanly to target schemaContinue
Two sources disagree on the same technical valueReview
Supplier value has no supporting external evidenceHold
Normalized format follows catalog rulesContinue
Output
Return one clean record regardless of how the source arrived
The target output should follow the catalog’s approved schema. The same structure can then be reused across suppliers instead of carrying supplier-specific conventions deeper into the platform.
Clean canonical recordTarget output
Canonical attributesstructured
Units & formatsnormalized
Identifiersaccepted / reviewed
Additional informationvalidated where evidence exists
Contentprepared from the structured record
Supplier ASupplier BSupplier CFuture feed
Use a difficult supplier feed as the test
Provide a representative export containing inconsistent fields, missing attributes or mixed units. Use it to define the cleanup and enrichment workflow against your target schema.