We’ve analyzed thousands of BOMs across different industries. On average nearly ten percent of the parts are obsolete or heading that way. Some are already off the market. Others are quietly marked for EOL by the manufacturer.

That’s a huge risk. One faulty assumption in the design phase can cascade into delays redesigns or last-minute sourcing chaos. And it’s not just about availability. Regulatory compliance pricing and performance can all shift without warning.

The Challenge of Tracking Data

The issue is data. It’s hard to track. Every part has dozens of attributes and they live in disconnected formats. PDFs Excel sheets PLMs emails. No one has time to check every spec or PCN manually.

How AI Makes a Difference

Parter solves this. Our platform uses AI to read across these sources in real time. We identify risky parts based on lifecycle status supply trends and hidden supplier flags. Then we recommend safer alternatives that fit your exact specs.

We’re seeing teams save weeks of engineering time. We’ve helped prevent costly rework. And we’re giving companies peace of mind that their designs are ready for what’s next.

The True Cost of Bad Data

The real cost of bad data is always higher than expected. That’s why we built Parter.