Cutting
Header / cutting
Geometry, mounting and wear profile.
SCHEMA: DISTINCTAgriculture verticalCombine harvester parts
Combine system cutaway / component schemas
Enrich Complex Combine Harvester Parts Catalogs
Combine harvester parts catalogs are highly technical and can span machine generations, component groups and large numbers of spare-part references.
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 research and structure missing product information so the final record can contain clearer identifiers, technical attributes and validated catalog content.
Combine Systems / Component Data StateSUPPLIER CATEGORY: “COMBINE PARTS”
Feeding
Feeder components
Chain, slat, dimensions and mounting.
DATA: STRONGERThreshing
Drum / concave
Dimensions, material and generation.
SCHEMA: DISTINCTSeparation
Separation parts
Variant and application evidence.
DATA: REVIEWCleaning
Sieve / cleaning
Size, geometry and position.
SCHEMA: DISTINCTDrive
Drive components
References, dimensions and connections.
DATA: STRONGERWear
Wear components
Material, shape and mounting.
SCHEMA: DISTINCTSeven component families arrive under one supplier category, each needing a different technical schema.REAL COVERAGE FIGURES: 0000656410KR reference record
Catalog complexity
One machine contains many specialized product families
A combine catalog can include cutting, feeding, threshing, separation, cleaning, drive and wear components, each with its own technical data requirements. Broad supplier categories are often not enough to describe these products accurately.
Cutting
Geometry / mounting / wear surface
lengthwidthmounting
Feeding
Chain / slat / conveyor context
pitchwidthposition
Threshing
Drum / concave geometry
diametermaterialgeneration
Separation
Machine / variant-specific form
sizepositionvariant
Cleaning
Sieve / fan / cleaning context
sizemeshposition
Drive
Connection / transmission dimensions
typedimensionreference
Wear
Material / shape / mounting
materialshapemounting
The target taxonomy and attribute schema must reflect the actual component families used by the catalog.TAXONOMY FOLLOWS THE MACHINE
Identifiers
Keep manufacturer and part references explicit
Internal SKU, manufacturer part number, OEM reference and aftermarket identifiers should be represented as structured fields where available.
These values are central to product research and matching and should not be buried only inside descriptions.
Identifier Drawer / Where the value lives
Same value, different capability, depending only on where it is stored.
Machine compatibility
Treat application context as data
Where the business has verified machine or model relationships, that context can help customers find the correct part.
Because combine generations and variants can differ, compatibility should remain evidence-based and reviewable.
GenerationVariant scopeEvidenceRecord state
Every application entry carries its evidence and record state.ACTUAL APPLICATION MODEL: 0000656410KR reference record
Technical specifications
Use category-specific specifications for each component type
Dimensions, material, mounting details and other technical fields can be important depending on the part category. The workflow should extract and normalize only the specifications relevant to the target schema.
Technical Value SorterFOUND ≠ PUBLISHED
Found in sources · 12 candidate values
lengthwidthheightdiametermaterialmountingweightpitchthicknesspositioncolorpackaging
Research returns more than the schema asks for.
TARGET
SCHEMAcomponent-family filter
SCHEMAcomponent-family filter
Kept and normalized · 7 schema fields
- Manufacturer part number
- VERIFIED
- OEM / cross-reference
- VERIFIED / LINKED
- Machine family
- STRUCTURED
- Model compatibility
- SOURCE-SUPPORTED
- Technical dimension
- SOURCE-SUPPORTED
- Material / construction
- SOURCE-SUPPORTED
- Publication content
- GENERATED FROM ACCEPTED FACTS
Values outside the schema are recorded but not published.
SCHEMA OWNERThe catalog defines the field set per component family, so extraction has a fixed target rather than an open list.REAL CATEGORY SCHEMA: 0000656410KR reference record
Enrichment
Complete the record before creating the final content
The workflow follows the approved order: product identification, source research, structured extraction, normalization, validation and content generation.
Combine Processing Drum / One Continuous RecordORDER MATTERS
Identify
Confirm exact product and component family.
GATE: IDENTITYResearch
Collect sources relevant to this part.
GATE: EVIDENCEExtract
Create attribute, value and unit candidates.
GATE: STRUCTURENormalize
Map values into the component schema.
GATE: SCHEMAValidate
Surface conflicts and unsupported claims.
GATE: QUALITYContent
Generate content from the accepted record.
GATE: DOWNSTREAMORDER MATTERSThis keeps the content layer tied to the actual technical record.
Validation
Surface conflicts before they become catalog errors
Two sources can list different dimensions or apply the same reference to different machine contexts. Treat those cases as validation problems rather than resolving them by guessing.
Source A
Conflicting technical field
SOURCE A VALUESource B
Same technical field
SOURCE B VALUECONFLICT
GATE
GATE
Supported
Accept one value
Only where evidence resolves the conflict.
Review
Keep the conflict visible
Send the field to review when evidence is insufficient.
Unresolved
Publish neither
No guessing to complete the record.
Use a real conflict example where possible.No verified conflict in this reference record. If sources disagree, the field is held rather than inferred.
Real example
Follow one combine harvester part through the workflow
Each stage keeps its own record, so the final entry can be traced back to the evidence behind it.
One SKU / Five Recorded Stages0000656410KR
Source record
Original supplier or manufacturer data.
Schumacher 0000656410KR · Claas contextResearch record
Sources captured for this exact product.
Public product record / manufacturer-equivalent contextStructured record
Identifiers, attributes and application candidates.
EAN · original equivalent · length · width · thickness · boreValidation record
Conflicts, review states and accepted values.
Source-supported reference record; no unresolved conflict claimedPublished record
Accepted technical record and content output.
Structured part record + factual product contentOne selected SKU, five recorded stages and a traceable evidence chain.
Ecommerce / SEO
Make the final page easier to understand and find
Once the record contains clear identifiers, attributes and application context, the same data can support a more specific ecommerce page and search-oriented content.
The goal is useful product information, not generic text added only for keyword volume.
Publication StencilCAPABILITY, NOT WORD COUNT
Product title
Specific product naming
Uses accepted identifiers and family context.
NEEDS: IDENTITY + TAXONOMYTechnical section
Structured specifications
Publishes only schema-approved fields.
NEEDS: ACCEPTED ATTRIBUTESApplication context
Verified machine/model scope
Appears only where supported.
NEEDS: COMPATIBILITY EVIDENCESearch-oriented content
Useful page context
Explains the completed technical record.
NEEDS: ACCEPTED RECORDRefused lane
Generic keyword filler / unsupported benefits / invented fitment
These do not become product-page content to increase word count.
NOT PUBLISHEDThe content layer is downstream of the technical record. A stronger record unlocks better page structure; extra words alone do not.
Controlled next step
Use one technically difficult combine part as the test
Pick the component group where the supplier data is thinnest and the research effort is highest.