Integrations · PIM

Add AI Enrichment Around Your Existing PIM

A PIM can be the center of your product-information workflow and still contain incomplete records. Supplier feeds may arrive with missing technical fields, inconsistent attribute names or descriptions that are not ready for publishing.

The handoff is not limited to enriched attributes: the configured output can carry validated technical fields together with SEO keyword targets, unique product copy, meta title, meta description and final content in the target language.

ENRIVAQ is positioned as an enrichment layer around the PIM you already use: send selected product records out for research, structured enrichment and validation, then return approved data to the existing workflow.

The goal is not to replace the system that manages product information. The goal is to give it better product data.

Discuss Your PIM Integration

SIDECAR / RETURN LOOPEXISTING PIM REMAINS SYSTEM OF RECORD

SYSTEM OF RECORD

Existing PIM

governed_fieldsACTIVE

technical_attributesINCOMPLETE

contentWEAK

evidenceMISSING

EXTERNAL SIDECAR

ENRIVAQ

Research 01Extract 02Normalize 03Validate 04

SELECTED RECORD →

← APPROVED RETURN

The PIM is doing its job. The records arriving into it are the problem.REAL PIM RECORD TO BE INSERTED

Why enrichment complements PIM

Managing product data and completing product data are different jobs

Your existing PIM can remain the place where product information is managed. ENRIVAQ focuses on the work needed when that information is incomplete before it becomes useful.

COMPLEMENTARY RESPONSIBILITY BOARDDIFFERENT JOBS · ONE WORKFLOW

PIM · GOVERNANCE

Manage the product model

Taxonomy and modelWorkflows and approvalsOwnership and usersPublication and activation

COMPLEMENTARY
RESPONSIBILITIES

ENRIVAQ · ENRICHMENT

Complete the product record

External product researchStructured attribute extractionNormalization and standardizationEvidence, validation and review

When this fits: the business has already invested in product-data governance, but the quality of incoming records still creates manual work. PIM data enrichment →

Architecture

Keep the PIM in place and add enrichment around it

Product records leave the existing PIM for a focused enrichment workflow and return as structured, reviewable output.

ENRIVAQ operates as an external enrichment layer while the existing PIM remains the system of record.

The architecture follows the connection method implemented for the customer workflow.

DARK SIDECAR LOOPCONFIGURED DATA EXCHANGE

SYSTEM OF RECORD

Existing PIM

Keeps governance, workflow and publishing.

EXTERNAL ENRICHMENT

ENRIVAQ sidecar

ResearchExtractNormalizeValidate

RETURN PATH

Same PIM

Structured output re-enters the existing process.

EXTERNAL ENRICHMENT SIDECAR

Data exported from PIM

Start with the product record you already maintain

The source record may include identifiers, titles, existing attributes, descriptions, category information or other product fields available in the PIM.

EXPORT CONTRACT MATRIXINPUT SET DEPENDS ON THE PRODUCT

Source fieldWhy the workflow needs itSimple productComplex part

identifiers

Anchors the record so research can find the right product.

REQUIREDREQUIRED

title

First signal of what the product is.

REQUIREDREQUIRED

existing_attributes

Tells the workflow what is already known.

OPTIONALREQUIRED

description

May hold unstructured technical facts to extract.

OPTIONALREQUIRED

category

Selects the target schema for the product family.

OPTIONALREQUIRED

other_product_fields

Depends on the product and target workflow.

NOT NEEDEDCASE BY CASE

Required and optional fields follow the implemented PIM schema.Product identifier · category · existing attributes · existing content

Enrichment

Add the information the current record is missing

ENRIVAQ can research relevant product information, extract structured attributes, normalize inconsistent values and prepare catalog-ready content.

The enrichment logic works against a target product structure. Only fields relevant to that structure move into the catalog record.

For complex catalogs, the output remains structured enough to be useful in PIM fields, filters and downstream product pages.

STRUCTURED ENRICHMENT ORBITTARGET SCHEMA CONTROLS OUTPUT

PIM RECORD + TARGET SCHEMA

Controlled enrichment

Only agreed fields are candidates for return.

01 · RESEARCH

Find evidence

02 · EXTRACT

Type values

03 · NORMALIZE

Canonical values

04 · CONTENT

Catalog-ready output

NO ARBITRARY FIELDS · NO UNSOURCED VALUES · NOTHING OUTSIDE TARGET STRUCTURE

Validation

Do not send uncertain technical data back silently

Conflicting sources, missing required fields, uncertain mappings or invalid formats need to be visible before enriched data becomes part of the managed product record.

RETURN DECISION GATENOTHING RETURNS SILENTLY

Conflicting sourcesDifferent values for one field.

REVIEW

Missing required fieldsRequired schema fields are empty.

REVIEW

Uncertain mappingsA label may belong to multiple fields.

REVIEW

Invalid formatsValue conflicts with the allowed unit or format.

REJECTED

DECISION GATE

Only approved values continue

Schema check PASSSource evidence BOUNDConflict state CLEARReturn status APPROVEDAPPROVED RETURN

Review policy is configured to the target catalog and risk profile; internal thresholds remain proprietary.

Data returned

Return a cleaner product record to the system of record

Depending on the approved scope, output can include completed attributes, normalized values, validation status and generated content based on the structured record.

The receiving PIM continues to handle the processes it already owns. ENRIVAQ remains focused on the enrichment stage rather than becoming a parallel catalog-management environment.

APPROVED RETURN ASSEMBLERSCOPE DEPENDS ON APPROVAL

BEFORE ENRICHMENT

PIM record

outer_diameter—weight—descriptionsupplier textvalidation—

APPROVED
RETURNheld/rejected values stay out

RETURNED TO SAME PIM

Improved record

completed_attributesaccepted structured fieldsnormalized_valuesaccepted structured fieldsgenerated_contentapproved fact-backed contentvalidationAPPROVED

Every returned value carries its validation status.Accepted structured fields · generated content · validation state, mapped to the agreed destination schema

Supported connection methods

Use the connection method that actually exists

A connection may be implemented through an API, CSV/Excel exchange, export/import workflow or another verified connector.

VERIFIED METHOD ROUTERONE IMPLEMENTED ROUTE AT A TIME

METHOD 01

API

Only when a verified API path exists for the customer environment.

STATUS = ENABLED WHEN CONFIGURED

METHOD 02

CSV / Excel

CSV/Excel input with explicit field mapping; standalone file export/return is not presented as a generic current capability.

STATUS = CONFIGURED WORKFLOW

METHOD 03

Export / import

A customer PIM export can be used as input. Return or update behavior is described only for the workflow that has been implemented.

STATUS = IMPLEMENTATION SPECIFIC

METHOD 04

Verified connector

Name a native or direct connector only after it exists.

CONNECTOR ONLY WHEN DEPLOYED

CONNECTION METHOD FOLLOWS THE DEPLOYED CUSTOMER WORKFLOW

SUPPORTED METHODAPI or file-based project workflowDIRECTIONCustomer export → ENRIVAQ → approved output prepared for customer import/updateFREQUENCY / TRIGGERConfigured batch or agreed operational trigger

Security

Product data moves through a defined process

PIM integration can involve non-public catalog information and internal product structures.

Security, Data Privacy and AI & Data Policy materials define the controls that apply to the configured workflow.

Security claims are limited to documented controls that apply to the configured deployment.

CONTROLLED DATA MOVEMENT BOUNDARYONLY IMPLEMENTED CONNECTION METHODS ARE CLAIMED

SOURCE

PIM export

Selected fields enter the route.

PROCESS

Enrichment

Research, extraction and validation.

REVIEW

Exception handling

Uncertain values stay visible.

RETURN

PIM import

Approved output returns.

POLICY LAYER

Security + Data Privacy + AI & Data Policy

Only verified controls belong in public claims.

Verified control statements are still required.

Only selected product data enters the enrichment workflow; public security and AI/data handling claims are governed by the Security and AI & Data Policy pages

Example workflow

One product record, enriched outside the PIM and returned

The strongest implementation example shows the same record at each stage rather than describing an abstract integration.

SAME RECORD / STAGE BY STAGEREFERENCE IMPLEMENTATION DATA · CONFIGURED EXCHANGE

01PIM EXPORT

Existing record selected

AC820825 · title · category · incomplete attributes

02IDENTIFY

Product identity resolved

OEM / MPN AC820825 · EAN 8716106986118

03RESEARCH

Evidence gathered

Kverneland documentation · Kramp · Korbanek · SELM · LBR

04STRUCTURE

Missing fields completed

Product type · compatibility · source-supported material

05VALIDATE

Approved values released

Supported values accepted · weight conflict held

06SAME PIM

Improved record returned

Accepted structured fields + factual content + SEO metadata

Show the same SKU at every stage so the reader can follow one concrete data path.How it works →

PIM integration handoff

Discuss how enrichment can fit around your PIM

Bring the current product-data flow, a sample record and the target fields you want to improve. The discussion can then focus on a concrete data path rather than a generic platform presentation.

Discuss Your PIM Integration

01Current product-data flow02Sample record03Target fields to improve04Preferred exchange method