Product Matching Software
Automating product data standardization, attribute extraction, and classification can be easy.
With ProductMatch, intuitively make sense of complex, unstructured product and item data with advanced contextual recognition and machine learning.
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Customer Stories
See what our customers say...
It’s not just the software which works very well for us, but the focus and knowledge that Data Ladder brings to the table
Thanks to Data Ladder we successfully cleaned up and matched our internal sales file with new leads, greatly improving efficiency and sales.
We could not do these reports before. Now, DataMatch has become a main staple in my suite of tools that I work with
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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Source-to-Target Mapping Best Practices for Accurate, Scalable Data Pipelines
Last Updated on January 21, 2026 Source- to-target mapping usually gets attention for about five minutes, right before a pipeline goes live. After that, it’s
Managing Nicknames, Abbreviations & Name Variants in Enterprise Entity Matching
Last Updated on January 13, 2026 A name might feel like the simplest identifier, but in enterprise datasets, it rarely is. In the US and
Source-to-Target Mapping Best Practices for Accurate, Scalable Data Pipelines
Last Updated on January 21, 2026 Source- to-target mapping usually gets attention for about five minutes, right before a pipeline goes live. After that, it’s
Managing Nicknames, Abbreviations & Name Variants in Enterprise Entity Matching
Last Updated on January 13, 2026 A name might feel like the simplest identifier, but in enterprise datasets, it rarely is. In the US and
Linking Similar Records with Incomplete Data: Proven Approaches for High-Accuracy Entity Matching
Last Updated on January 13, 2026 If record linkage were as simple as matching names and emails, organizations wouldn’t be sitting on mountains of unleveraged