search the product number
PRODUCT FAMILYsoft signal / crisp evidenceEVIDENCE FIELDresearch target + source contextONE SKUsame product through investigation
Product data research
Automate Product Research Across Relevant Sources
A large part of catalog enrichment happens before anyone writes content.
Someone has to identify the product, search for additional information, open relevant sources and determine which technical details actually belong to the product.
ENRIVAQ turns that repetitive product research into a structured workflow. The objective is simple: reduce the amount of manual investigation required to move from an incomplete SKU to usable product information.
INVESTIGATION VIEWONE SKU · ILLUSTRATIVE STATE
CANDIDATE SOURCEManufacturer informationidentifier and product context
CANDIDATE SOURCETechnical documentationspecification context
REJECTED CANDIDATESimilar product pageidentifier mismatch · do not use
CANDIDATE SOURCEDistributor informationcontext requires comparison
AC820825
KVERNELAND · FAN IMPELLERPRODUCT CONTEXTPRODUCT IDENTITYSOURCE CONTEXTEVIDENCE RETAINED
REFERENCE VIEW · SEQUENCE ONLY, NO REAL SOURCE VALUES
01
Manual research
Product research does not scale well by hand
A catalog specialist working with an incomplete product may need to:
compare manufacturer and distributor pages
inspect technical tables
verify whether the source describes the correct product
copy specifications
repeat the process for the next SKU
This can work for a few products. Across hundreds or thousands of records, the process becomes difficult to scale consistently.
Different employees may use different sources, terminology or rules for deciding which information is reliable. Automated product data research is intended to make this process systematic.
02
Identification
Research begins by understanding which product you are looking for
Searching for data before identifying the product creates a simple but dangerous problem:
you can extract correct information about the wrong item.
ManufacturerKVERNELAND
SKUEAN 8716106986118
MPNAC820825
OEM referenceAC820825
TitleFAN IMPELLER AC820825
Existing technical attributesIncomplete
AC820825
RESEARCH CONTEXTWHY THIS MATTERS
These signals help narrow the research context before additional product information is collected.
For technical catalogs, this stage is especially important because similar-looking products may differ by dimensions, generation or manufacturer reference.
03
Source search
Look beyond the supplier file
Useful information may exist outside the product record the customer originally received. Depending on the product, relevant sources may include:
Manufacturer information
Product pages or technical material from the original manufacturer.
CANDIDATE EVIDENCE LANEDistributor information
Structured or descriptive information from product distributors.
CANDIDATE EVIDENCE LANETechnical documentation
Documentation or specification information associated with the product.
CANDIDATE EVIDENCE LANEThe system architecture treats source discovery as its own stage rather than assuming that every page containing the product name is equally useful.
Relevance
Finding a page is not the same as finding a valid source
Automated search can produce many possible matches. The important question is whether a source is actually relevant to the product being enriched.
Relevance needs product context. Signals may include:
RELEVANCE SIGNALSCONTEXT REQUIRED
matching identifiersIDENTIFIER
matching manufacturerBRAND
matching existing technical propertiesATTRIBUTES
consistent product namingNAMING
other available record informationCONTEXT
Rejected evidence stays rejected. Sources that do not sufficiently match the product should not automatically become part of the enriched record. This reduces the risk of mixing information from similar but different products.
05
Extraction
Turn useful research into catalog data
Research is valuable only when the information can be converted into something the catalog can use. Once relevant information has been found, ENRIVAQ can move it into the extraction workflow.
The aim is not to collect more webpages. The aim is to create structured product information.
… Working width: 420 mm …
AttributeWorking width
Value420
Unitmm
06
Traceability
Keep the research context available
When catalog data is enriched from external information, reviewers need to understand where important values originated. The approved architecture therefore includes source traceability as part of the workflow. This can help teams:
REVIEW TASKEVIDENCE CONTEXTSTATE
review uncertain dataValue-level source contextREVIEW
investigate conflictsSELM 1.74 kg / LBR 2.60 kgCHECK
compare multiple sourcesOptima / Optima HD applicationTRACE
understand how a product record was builtSource, supporting context and normalized value remain linkedTRACE
EXACT TRACEABILITY CAPABILITYEach accepted or reviewable value remains connected to its source and supporting source context.
07
Example
Research one difficult spare part from start to finish
Use one actual agricultural spare part.
Initial data
ManufacturerKverneland
Part numberAC820825
TitleFan impeller AC820825
Existing attributesIncomplete
Research
Sources consideredKverneland documentation · Kramp · Korbanek · SELM · LBR
Information identified
FindingsOEM / MPN · EAN · compatibility · source-supported material · conflicting weight evidence
Structured result
AttributesAC820825 · 8716106986118 · Fan impeller · Optima / Optima HD · Metal
Rejected / uncertain information
FlaggedWeight is held for review because public sources disagree; unsupported dimensions are excluded.
This section should demonstrate the research process rather than simply present the final text.
Give us a product your team normally has to research manually
Start with a representative SKU and see how the research workflow applies to it.