What Is Product Data Provenance?
Product data provenance records where product information came from and how it entered the catalog.
In an AI enrichment workflow, provenance provides the context needed to review a value rather than treating the final field as an unexplained answer.
For technical catalogs it is especially important for identifiers, dimensions, compatibility and other fields where an incorrect value can affect product selection.
Technical fieldVALUE + ORIGIN
PROVENANCE CONTEXT · REPRESENTATIVEREFERENCE COMPOSITION · VALUE-LEVEL SOURCE CONTEXT
A product value without origin is difficult to audit
When someone later questions a specification, the team must search again or trust whatever is already in the database. Provenance reduces that loss of context by keeping the source relationship close to the enriched record.
Search again, or trust the database
The source relationship stays next to the value
“Found online” is not a meaningful provenance category
The architecture allows source context from manufacturer pages, distributor information, technical documentation and other approved research inputs.
The catalog should distinguish source type where useful.
Source discoverymanufacturer_pageThe brand’s own product or parts pages.
TYPED SOURCEdistributor_informationReseller catalogs and supplier feeds.
TYPED SOURCEtechnical_documentationManuals, parts lists and datasheets.
TYPED SOURCEapproved_research_inputOther inputs the catalog explicitly allows.
POLICY-DEFINEDThe strongest model connects a specific value to the evidence behind it
Three levels of granularity, only one of which supports value-level traceability.
Product level
The record cites a sourceYou know where the product was researched, not which value came from where.
BROAD CONTEXTSource level
Sources are listed per recordSeveral sources are attached, but no field points at a specific one.
PARTIAL CONTEXTValue level
Each value points at its evidenceThe field links to the exact table or section that supported it.
AVAILABLE WHERE RETAINED BY THE IMPLEMENTED WORKFLOWExternal product pages change, so the moment matters
A timestamp can help distinguish when information was collected or reviewed.
The exact semantics should be clear: source accessed, value extracted, record validated, or another event.
When the external page or document was read.
When the value was pulled from that source.
When validation accepted the field.
Any further event the platform defines.
Provenance is most useful when sources disagree
Instead of overwriting one value with another, the workflow can preserve the competing evidence and send the field to validation or review.
That turns disagreement into an explicit data-quality state rather than a hidden catalog error.
Product data validationNeither value is silently overwritten — both stay attached to the field until review resolves it.
Provenance can support review history and quality investigations
The scope of auditability should match the platform’s actual storage and history capabilities.
Who looked at the field and what they decided.
IF STOREDTracing a suspect value back to its evidence.
IF STOREDRecord a changed source or evidence context.
IF STOREDKeep the decision alongside the provenance state.
IF STOREDGenerated prose must never become the only source for a technical value
AI can accelerate research and extraction, but provenance keeps the workflow evidence-oriented.
The system should be able to distinguish generated content from source-derived product facts.
AI enrichment vs manual researchsource_derivedExtracted from an approved source with a reference.
CAN BACK A VALUEgenerated_contentModel-written prose built on the validated record.
CANNOT BACK A VALUEunlabelledOrigin class missing from the record.
ROUTE TO REVIEWOne field, its evidence and the decision taken
Six values to fill in with a real product before publication.
- Product
- Kverneland AC820825 Fan Impeller
- Attribute
- Weight
- Candidate value
- 1.74 kg · SELM Agro
- Source
- SELM Agro
- Conflicting value, if any
- 2.60 kg · LBR
- Decision
- REVIEW / HOLD
Decision is recorded even when no conflict exists.
Common questions about provenance
Four questions about validation, field coverage, generated content and AI review.