The problem: root cause analysis that starts with exports
When a result drops, finding why usually means exporting data and building charts by hand before the analysis can start.
The quality engineer has a hunch about the cause but needs to pull part lot results, match them to powder lots and build a chart before anyone will act on it. That can take most of a day.
What this demo shows
- A quality engineer notices dielectric constant has dropped on part lots P-2609-08 to P-2609-10 of a 0603 X7R 100 nF ceramic chip capacitor.
- Ask Bodie why in plain language.
- Get the answer, with a chart, from connected quality data.
Why it matters
Quality decisions move faster when the analysis does. A plain-language question answered with a chart from connected data gets the team to the likely cause in minutes.
Because the answer comes from linked part lot and powder lot records, the engineer can check it, share it and move straight into the corrective action.
See it with your own data
This video is part of Bodie. To see how it would work with your own formulations and records, request a demo. Our team replies within 30 minutes during business hours.
Read the transcript
Uncountable holds your part lot, powder lot, and spec data, and Bodie is its AI assistant. Ask it why dielectric constant dropped on three part lots. Part lot results and powder lot data are already linked. So, Bodie names the powder lot behind the drop and draws the chart. AI on your connected quality data.
