Normalize your PIM, add intelligent and automatic tags - all done by plugging in our API into your tools.
Standardize and enrich product descriptions, attributes, partner and competitor assets, all that automatically.
Normalize your B2B client database, and buff up your data with new categories that apply automatically.
Prep your data for error-proof analysis with data correction done by machine learning. No more typos, irrelevant, or duplicated data that lead to inaccurate results.
Extract automatically significant attributes from your textual data and put it into labels to make granular analysis and build new efficient filters.
Start directly normalizing your data files with our tool.
If needed, plug your ecosystem by connecting to our API.
We detect attributes across different languages, and automatically translate and standardise them, so nothing ever gets lost in translation.
Measure, review, and analyze your data quality. Manage the quality of your sources, and measure the impact of normalization on your data health.
yzr is built to better collaborative workflow, to improve productivity : with internal or external teams !
We are a team of warriors with different backgrounds. What brings us together is our belief that data has its highest value when shared. And we’re all for it. It’s absolutely the strongest play for business innovation, breaking silos, and conquering the world.
That’s why we aim to make businesses thrive through data sharing, enabling effortless and masterful data normalization first.
We built yzr to make it easier, better, and faster to normalize data. Because the more data sources you master, the more accuracy you give your data. And the more accuracy your data gets, the clearer path to success your business takes.
Data normalization preps business data to be ready, accurate, and well-organised for reports, machine learning, analysis, and prediction.
Usually a tedious process done manually, data normalization is now automatically applied to any and all data files, thanks to yzr’s pioneering AI algorithms.