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Vendor Catalog CSV Cleaner

When the same vendor appears under multiple name variations and SKUs change format with every catalog update, ERP imports fail. PipeSheets standardizes vendor master data so your imports work the first time.

Turn chaotic supplier data into ERP-ready imports

What is Vendor Catalog CSV Cleaner?

When the same vendor appears under multiple name variations and SKUs change format with every catalog update, ERP imports fail. PipeSheets standardizes vendor master data so your imports work the first time.

  • Unified vendor identities: Entity resolution consolidates vendor name variations into canonical records for cleaner master data
  • Standardized SKU format: Normalizes SKU patterns across suppliers to your internal convention
  • Numeric values only: Strips currency symbols and normalizes decimal formats for ERP compatibility

See vendor data transformation in action

1Before

Vendor NameSKUPriceLead Time
Acme Corp.ABC-123$19.995 days
ACME CORPORATIONSKU_ABC_12319.99 USDempty
acme corp abc12319,99N/A

2After

Vendor NameSKUPriceLead Time
Acme CorpABC-12319.995
Acme CorpABC-12319.99empty
Acme CorpABC-12319.99empty

What Gets Fixed

Same vendor, 12+ name variations
Unified vendor identities

Entity resolution consolidates vendor name variations into canonical records for cleaner master data

ABC-123 vs SKU_ABC_123 vs abc123
Standardized SKU format

Normalizes SKU patterns across suppliers to your internal convention

$19.99 vs 19.99 USD vs 19,99
Numeric values only

Strips currency symbols and normalizes decimal formats for ERP compatibility

N/A, null, None, blank cells
Consistent null handling

Standardizes empty values to prevent ERP validation failures on required fields

How It Works

Clean your data in three simple steps. No coding required.

1

Upload Your Vendor Catalog

Drop your file here

CSV or XLSX, up to 25MB free

data_export.csv

Drag and drop the CSV or XLSX from your supplier (up to 100MB for paid plans)

2

Apply Quick Clean

Quick Clean Pipeline
Trim whitespace
Standardize nulls
Remove empty rows
Normalize headers

One click normalizes SKUs, standardizes vendor names, and removes junk data

3

Download ERP-Ready File

clean_data.csv
Ready
1,234
rows
8
columns
2.3s
time

Get a clean file formatted for NetSuite, SAP, Oracle, or any ERP system

How to Clean Supplier Master Data Before It Hits Your ERP

Supplier price list cleanup is not a one-time project. Every quarter a vendor sends a new catalog, and every catalog arrives in a slightly different shape - renamed headers, a new currency format, an extra summary row at the top. If you paste these straight into your ERP import template, every inconsistency flows into your vendor master data and stays there. The fix is a repeatable cleanup pass that runs before the file ever touches NetSuite, SAP, or Oracle.

The five problems hiding in almost every vendor catalog

Common vendor catalog problems, their causes, and fixes

ProblemWhy it happensThe fix
Same vendor under five different namesEach buyer types the name differently, and suppliers rebrandUse the map values step to collapse known aliases (ACME CORPORATION, Acme Corp.) into one canonical spelling
Mixed SKU formats: ABC-123, abc_123, ABC123Every supplier follows their own conventionFind & replace with regex swaps separators, then a case transform forces uppercase - SKU normalization in two steps
Prices as $19.99, 19.99 USD, and 19,99Price lists come from different regions and systemsFind & replace strips currency symbols and text; a regex swap converts comma decimals to points
N/A, null, TBD, and blanks mixed togetherReps fill unknown values however they likeStandardize nulls converts every variant to a true empty cell so ERP validation behaves predictably
Headers like 'Unit Price ' or 'unit-price'Manual edits and inconsistent Excel exportsNormalize headers to snake_case so every catalog maps to the same import template

A repeatable workflow to clean supplier master data

Here is the pass procurement teams run in PipeSheets, start to finish:

Supplier catalog cleanup steps

  • Upload the raw catalog (CSV or XLSX, up to 25MB on the free plan) and open the preview to see what you are actually dealing with.
  • Run Quick Clean first. One click trims whitespace, standardizes null variants like N/A and NULL, removes fully empty rows and columns, and normalizes headers to snake_case.
  • Add a map values step on the vendor name column to fold every known alias into one canonical name.
  • Add find & replace steps for SKU normalization: a regex turns underscores into dashes, then a case transform uppercases the whole column.
  • Strip pricing junk with find & replace - remove $ and USD, and swap comma decimals with a regex.
  • Reorder columns to match your ERP import template exactly, and drop any columns the template does not use.
  • Preview the result, download, and save the whole sequence as a pipeline named after the supplier. Next quarter's catalog takes one click.

One honest caveat: PipeSheets does not deduplicate rows. If the cleaned catalog still contains true duplicates - the same vendor and SKU on two rows - standardize everything in PipeSheets first, then run Excel's Remove Duplicates on the download. Deduplication only works after normalization anyway: Excel cannot tell that 'Acme Corp.' and 'ACME CORPORATION' are the same vendor until the names match exactly.

Frequently Asked Questions

Guides for Vendor Catalog CSV Cleaner

Clean Your Vendor Catalog Now

Stop manually fixing vendor catalogs. Standardize supplier data and upload your first file free.

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