Quality

Pass/fail rate, defect-type distribution, complaint trend.

This department's pain

Sound familiar?

Rejection rates are recorded but nobody watches the trend.
Which defect type recurs and which batch had the problem stays on paper.
No link can be drawn between a customer complaint and the production record.
The relationship between a quality problem and a change of supplier goes unnoticed.

Quality control records, pass and fail results, defect-type definitions, customer complaints and batch/lot information.

Data entry

The inspection form on a tablet, with photo-attached defect records. The inspector marks it at the line and the record lands in the system instantly.

Metrics it tracks

Sample questions

No spreadsheets, no formulas, no report requests — you write it exactly as you would say it.

“Which product's rejection rate has gone up?”

“What is the most common defect type?”

“How many complaints did I get this month?”

“Which batch had the problem?”

Early warning

ATLAS: The product with the rising rejection rate is also the one whose raw material now comes from a new supplier — look at the connection.

In the demo call we work with this department's own data.