Your line generates thousands of data points per minute. Most are ignored.
PackGuru turns them into a daily briefing — exactly where to focus, what to fix first, and what the expected gain will be. The next 1% of OEE is no longer a guess
Thousands of data points a minute. Three decisions a shift
The line already produces every number you need. Almost all of them die in the cabinet — while the analyst queue grows and the same losses repeat, politely unexamined
Signals die in the cabinet
The drives, PLCs and sensors know exactly where the shift went. Nobody asks them, because asking used to mean SQL and a week
Reports describe, they don't decide
A dashboard with forty charts answers no question. A shift needs three actions, ranked, with expected gain
Good settings quietly rot
The line ran perfectly on Friday. Someone nudged a setpoint at 3am. Nobody will connect those facts for weeks
Same processes, measured before and after
| PROCESS | KPI | TODAY | WITH PACKGURU |
|---|---|---|---|
| Root-cause analysis | time to answer | analyst queue, days | daily 4M report, auto-generated at shift end |
| Focus setting | actions per shift | forty charts, no ranking | top-3 actions with quantified expected gain — the 80/20 focus |
| Recipe drift | deviations caught | found weeks later, if ever | diff against golden recipe the moment performance drops |
| Speed loss | quantified per module | invisible — no alarm, no record | measured second-by-second: micro-stops, ramp-ups, pacing losses |
Every loss, classified — the 4M method
Eight ways PackGuru turns data into decisions
4M analysis
Every loss classified at root level — Man, Machine, Method, Material. Prioritised action plan ranked by potential OEE recovery
Whole-line loss reporting
Module-level Sankey across the full sequence: infeed → filler → capper → labeller → case packer → palletizer
Speed-loss analysis
Not just what slowed down, but why — and the three most effective interventions, ranked by historical effect on this exact line
Ramp-up assessment
Time from changeover-end to stable production, tracked per format pair. Reveals which combinations cost the most
Camera feed analysis
Vision system watches the line. PackGuru clips and tags frames where things went wrong, with automatic incident annotation
DFOS integration
Operator comments and loss classifications already in DFOS get pulled into the same loop — no double entry
Daily / shift reports
What happened on the line in three paragraphs, in the language the manager reads. Sent to the closest screen at handover
Centerlining
Parameter targets recommended from the highest-OEE periods on this line — not from the OEM manual
See a sample shift report
We'll generate one from a representative day on a similar line