OUTPUT BY DAY
Find the pattern.
Bar totals use pieces. Hover or focus a bar for the exact values.
THE PRODCREST LAB / SYNTHETIC DATA ONLY
Meet your next
daily production meeting.
The same records. A clearer view. Switch from raw data to a checked dashboard and see what changes.
Local calculations / 01–07 September · synthetic
Good output—pieces · validated records
Reject rate—rejects / total produced
Recorded downtime—minutes · valid rows only
Records used—after duplicate & validity checks
■ Good output ■ Rejects
FROM THE FLOOR
A number is a
starting point.
ASK NEXT
Does the shift record capture rework separately, and are reject reasons recorded consistently?
A review question, not a diagnosis or evidence of causation.
What the records actually say.
Original synthetic rows · including issues| Record | Day | Machine | Shift | Produced | Rejects | Down / min | Check |
|---|
Before you trust the total.
One repeated record is removed. Impossible quantities are held for review. Nothing is silently repaired.
This demonstration checks duplicates and numeric validity only. Missing shifts, units, timestamps and cross-system reconciliation need explicit rules for each customer. A clean row is not proof of complete or truthful reporting.
Explore the detailed reconciliation report ↗DESIGNED AROUND YOUR RECORDS
Your process.
Your environment.
This public demo uses made-up records. No upload is needed.
A customer pilot is scoped around your column structure. Real production data is loaded inside your environment, with agreed controls and validation. Live database connectors and shared team workflows are separate scopes.
Discuss your own workflow ↗