Supplier data.
Ready for your catalog.

Every supplier speaks a different data language. Bring their files, feeds and systems into one controlled flow — from the first import to every update after it.

Supplier operationssupplier-catalog.csv4 incoming records
SKUProductVoltageState
CM-240Control module24vReceived
DRV-480Industrial drive400vReceived
PS-120Power supply230vReceived
SC-024Signal converterReceived
Example data. No external systems are connected.

Different sources.
One way of working.

Meet suppliers where their data already lives. Each source keeps its own configuration, structure and context while feeding the same product operation.

Files & feeds

CSV, Excel, XML and JSON

APIs & systems

REST, GraphQL, SOAP and ERP

Transfers & storage

SFTP, databases and media

Connections are configured around each source and the agreed implementation scope.

Their structure in.
Your product model out.

Map incoming fields once. Normalize units and values before they become catalog data. Keep the source alongside the result, so every transformation can be understood.

Supplier fieldsupplier-catalog.csv
item_codeCM-240
voltage24v
weight0.5kg
Original value
Catalog fieldPascore
SKUCM-240
Voltage24v
Weight0.5kg
Original source retained

A change in format should not become another manual cleanup task.

Good records move forward.
Exceptions stay visible.

Check required fields, values and structure before catalog changes. Hold the records that need attention without hiding them inside a failed import.

  • Supply voltage is required
  • Source record preserved
  • Valid records continue
Review queue1
SC-024Signal converter
Held for review

Required field missing

The supply voltage is missing from this source record. The record remains outside the ready set until the issue is resolved.

voltage
Resolution shown with illustrative data. No catalog is modified.

Know what happened.
And what needs you next.

Follow an import from receipt to validation. Processing state, exceptions and source context stay together, so your team can investigate the operation instead of piecing it together from scripts.

Import history
Execution trace#1042
  1. Source received
  2. Field mapping applied
  3. Values normalized
  4. Validation finished
  5. Exception retained for review
Interactive workflow example · supplier-catalog.csv

A repeatable process.
Not another one-off import.

Prices, availability and attributes keep changing. Build a supplier workflow that is ready for the next update, not just the first upload.

A few practical questions.

What is supplier data management?

Supplier data management is the process of receiving, mapping, validating, normalizing and maintaining product information supplied by external vendors before it enters a company’s product catalog or downstream systems.

Can Pascore work with different supplier formats?

Yes. Pascore is designed around heterogeneous product sources including structured files, APIs, SFTP, databases and operational systems. The exact connection depends on the source and implementation.

Does supplier data overwrite my catalog directly?

The Pascore workflow is designed to normalize and validate incoming information before catalog changes. Source context and provenance remain available so teams can understand where product values came from.

What happens when supplier data is invalid?

Records that do not satisfy the expected structure or rules can be isolated for review instead of silently entering the catalog.

Does Pascore replace our ERP?

Pascore is not positioned as a replacement for ERP. It operates as the product-data control layer between sources, product operations and the channels that consume product information.

Continue through the product workflow

Product MatchingPricing AutomationDistributors & Wholesalers

Bring a supplier file.
See the path to your catalog.

Walk through your sources, mapping requirements and review process with the Pascore team.

Request a demo