✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Industrial companies manage massive catalogs of parts, equipment, and MRO (maintenance, repair, and operations) items spread across ERP systems, CMMS platforms, and procurement databases. The same bearing, valve, or motor can appear under the manufacturer's part number, a distributor's cross-reference number, and an internal stock code. Over years of operations, these parallel entries accumulate into a tangled inventory that inflates carrying costs and complicates maintenance planning. dataclean.to matches industrial items by part number patterns, descriptions, and specifications to consolidate redundant records.
The Problem
Industrial data duplication is driven by the complexity of part numbering systems. A single SKF bearing might be referenced as '6205-2RS', 'SKF 6205-2RSH', and '6205-2RS1/C3' depending on the source. When maintenance technicians requisition parts by different identifiers, procurement creates new stock entries rather than finding existing ones. The result is warehouses holding the same part under multiple stock codes, purchase orders that bypass existing inventory, and CMMS work orders referencing inconsistent part lists. Industry estimates suggest that 15-30% of MRO catalog items are duplicates, directly increasing carrying costs and stockout risk for the parts that are actually needed. ISO 8000 data quality standards for industrial data
How to Fix It
1
Export parts and equipment catalog
Extract your industrial catalog from the ERP, CMMS, or procurement system into CSV format. Include part number, manufacturer, description, category, unit of measure, warehouse location, and any cross-reference numbers.
2
Upload to dataclean.to
Upload the CSV. The tool analyzes part numbers, manufacturer names, and descriptions to identify items that refer to the same physical part despite different identifiers or naming conventions.
3
Examine duplicate part clusters
Review grouped duplicates. Typical patterns include the same part under manufacturer and distributor numbers, slight description variations like 'Bearing 6205 2RS' vs 'Ball Bearing, Sealed, 25mm', and items entered with and without packaging quantity suffixes.
4
Consolidate into master part records
Merge confirmed duplicates into a single record per physical part. Retain the manufacturer's primary part number as the canonical identifier and record all cross-reference numbers as alternate IDs.
5
Export the clean catalog
Download the deduplicated parts data for reimport into your ERP or CMMS. Clean part records reduce carrying costs, improve maintenance planning accuracy, and streamline procurement.
Frequently Asked Questions
How does the tool handle part number cross-references?
The tool compares part numbers across all records, including fields designated for alternate or cross-reference numbers. If two records share a common cross-reference even though their primary part numbers differ, they are flagged as potential duplicates.
Can it deduplicate across multiple warehouse locations?
Yes. Items stocked in different warehouses under different stock codes but referring to the same physical part are detected. The tool matches on manufacturer part number and description regardless of which location or stock code was assigned.
What about parts with different packaging quantities?
A box of 10 bearings and a single bearing are related but distinct catalog entries. The tool flags them for review but does not auto-merge items where unit of measure or pack size differs, since they represent different purchasable units.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.