AI Master Data Refinement and PIM Enrichment, Swiss CH
Two-way ERP↔PIM connectors built for typed schemas and conflict resolution. Akeneo, Contentserv, SAP or Abacus, with declared ownership per attribute and delta-aware sync. Part of <a href="/en/services/ai-master-data-refinement">Master Data Refinement</a>.
BOM management for Swiss manufacturing — versioned, typed, exportable to PLM and ERP. Edit engineering and manufacturing bills of materials against one typed component <a href="/en/services/ai-master-data-refinement">master-data</a> source.
Automated supplier intake — Excel, PDF, CSV, email — mapped straight into your PIM schema. Suppliers drop files into a role-scoped portal, AI aligns rows against your canonical catalog, and uncertain rows route to a HITL review queue before write.
Our tracks
Six named tracks on one master data engine — pick the catalog problem you have today, not a generic PIM slide deck.
Catalog Migration and Onboarding
Move a 200k-SKU catalog into a new PIM without a year of clean-up. Two-pass OCR plus typed JSON extraction, role-scoped review on the way in.
ERP and PIM Connectors
Connect Akeneo, Contentserv, SAP and custom PIMs to your ERP and downstream channels. Typed schemas, idempotent writes, audit trail on every field.
AI Master Data Cleansing
Dedupe, normalize units, fix attribute drift and re-classify against ETIM or eCl@ss — with confidence scores and a queue for human review on edge cases.
Supplier Onboarding Automation
Drop in a supplier datasheet PDF or Excel and get a typed product record back. Supplier-scoped login, internal admin review, no shared spreadsheets.
Product Attribute Extraction
Pull dimensions, materials, certifications and technical attributes out of datasheets and catalog PDFs into a typed schema your PIM actually accepts.
BOM Management
Bill-of-materials cleansing and reconciliation across ERP, PLM and supplier files. Typed parents and children, version diffs, change events on every edit.
How we deliver
From discovery to a running cleansing pipeline in five steps. Two are paid discovery and schema design, three are integration, build and HITL rollout against your real catalog — not a slide.
Selected master data engagements
Technology stack
Boring application spine (Laravel and Next.js), proven AI tooling for extraction and orchestration, real-time review over websockets. CH data residency available on AWS Zurich.
What clients say
Frequently Asked Questions
A PIM upgrade swaps the tool — the data inside stays as messy. Our PIM AI workstream cleans, classifies and runs product data enrichment on the records: dedup, unit normalisation, datasheet extraction and ETIM or eCl@ss classification with a human-review queue.
The engine runs on wholesale catalogs from 100k to 600k SKU and building-materials above 200k. Our data cleansing service Switzerland teams use accepts supplier PDFs, scanned datasheets, Excel imports or legacy ERP exports. Regulated categories need a tighter schema.
The engine is connector-first. Records flow in through typed adapters and write back via idempotent APIs — our Akeneo integration Switzerland clients use rides the Akeneo REST API, Contentserv Switzerland deployments use the Contentserv REST API, SAP via the relevant module.
Review is role-scoped. Suppliers see only their own records on a supplier-base screen and confirm extracted attributes; your internal admin team works on an admin-base screen with cross-supplier views and final approval. Real-time websocket updates stop reviewers colliding.
Wholesale and distribution win on supplier-onboarding speed — adding a supplier collapses from weeks to days. Building materials win on attribute coverage across 200k+ SKUs. Manufacturing wins on BOM reconciliation. Regulated B2B reuses the engine for document-heavy intake.
Engineering is delivered by SAPIENTROQ AG with CH-only data residency on AWS Zurich and Sie-form German and English. A first milestone — one catalog domain live with HITL review — runs eight to sixteen weeks. Further supplier streams are added on a monthly track.
About SAPIENTROQ
Interested in a solution?
We are glad to show you various options without any obligation.
Roland Kurmann
CEO, SAPIENTROQ
