Brand A lens
RECORD AKverneland AC820825 original / AGD replacement reference
- Category label
- Fan components
- Attribute name
- Outer Ø
- Unit / format
- millimetres
- MPN / OEM
- AC820825
PRESERVEbrand · MPN · OEM · supplier refs
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Brand lenses / shared catalog core
Multi-brand agricultural catalogs have a structural problem: every manufacturer and supplier describes products in its own way, but the customer expects one coherent store.
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.
ENRIVAQ is designed to map those different inputs into a common taxonomy with standardized attributes, identifiers and cross-reference structures while preserving brand-specific information.
Brand A lens
RECORD APRESERVEbrand · MPN · OEM · supplier refs
Brand B lens
RECORD BPRESERVEbrand · MPN · OEM · supplier refs
Brand C lens
RECORD CPRESERVEbrand · MPN · OEM · supplier refs
Shared canonical layer
Different data languages
Category names, attribute labels, units, abbreviations and identifier formats can vary from one source to another.
If each feed defines the catalog structure, the result becomes fragmented: duplicate categories, duplicate filters and inconsistent product pages.
The target catalog therefore needs its own canonical data model.
The catalog model becomes the language bridge. Source-specific wording is mapped into shared concepts rather than copied into filters and categories.
Preserve distinctions
Standardization should not erase manufacturer identity.
Brand, MPN, OEM and supplier-specific references can remain explicit while common attributes and category structure are normalized.
This balance lets the catalog stay consistent without turning different products into generic records.
Shared core
Common taxonomy, attributes, units and filter logic.
Two-layer record model
The target model standardizes what customers should compare while keeping the fields that distinguish one brand/product record from another.
Normalize values and units
Common technical values should follow the same representation regardless of source.
For example, a dimension should not appear as three separate filter values simply because suppliers use different units or formatting.
Standardization should follow the approved catalog schema.
millimeter source representation
centimeter source representation
unit omitted / contextual source value
Canonical catalog value
One value in the approved representation becomes the filter/comparison value.
UNIT RULE: Canonical identity · OEM reference · brand/manufacturer · aftermarket relation · compatibility · technical attributesIllustrative example only. Real values and conversion rules must come from the catalog’s approved schema and source context.
Catalog proof
This visual should make the value of standardization and mapping immediately obvious.
Brand identity stays visible; the surrounding catalog structure becomes consistent.
BRAND A RECORD
BRAND B RECORD
BRAND C RECORD
SHARED CATALOG STRUCTURE
This is not three feeds collapsed into one product. It is several brand-specific products represented inside one consistent catalog model.
Starting point
Bring the same or similar part type from multiple suppliers and compare how the records can be standardized.
Brand A
Brand B
Brand C
Choose the family where the same buying criteria appear under different brand-specific data languages.
COMPARE → MAP → PRESERVE → STANDARDIZEControlled next step
Use real overlapping products to prove the canonical model while preserving brand-specific identity and references.