A full day.
Every hour in view.
From the first clock-in to the evening overview: your team records the start of work, breaks and the end of the shift at the terminal. Tent management keeps an eye on every entry.
Request a personal demo See how the day runsThe day begins.
Clock in, briefly.
Lena arrives at the tent. At the terminal she enters her employee number and her personal PIN. One tap on “Clock in” — and the start of her shift is recorded.
- Unambiguous assignment to the employee
- Large, clearly legible controls
- Immediate confirmation after clocking in
Mitarbeiternummer eingeben
1001PIN eingeben
● ● ● ● ● ●
Demo-KamerabildEingestempelt
Lena Muster · 10:00 Uhr
Breaks are part of the day too.
“Start break” and “End break” record the interruptions. When clocking out, Lena sees her recorded breaks once more.
One last look.
Then the shift is over.
In the evening Lena signs in again and chooses “Clock out”. She checks her breaks and confirms the times. If something is wrong, the entry is flagged for review by administration.
Deine Pausen heute
Anwesend: 10:15 · Arbeitszeit: 9:30
Abweichungen werden zur Prüfung markiert.Ausgestempelt
Lena Muster · 20:15 Uhr
The day ends.
The overview remains.
Who clocked in when? Which entries are synchronised, which are still open or unconfirmed? The admin dashboard brings the recorded events together with employee, action and time.
Trace every event
Clock-ins, clock-outs and breaks appear in chronological order with employee number and time.
Spot open entries
Pending synchronisations and unconfirmed entries stay visible.
Check what matters
Tent management can see which entries still need attention.
Keep recording.
Synchronise later.
If the server cannot be reached, the employee can continue offline. If the PIN cannot be verified, the entry stays marked as unconfirmed until the next synchronisation.
Network unavailable
Continue offline — the status stays transparent.
Pending · UnconfirmedReady for the next day on the Wiesn.
Request a personal demoThe processes shown use fictitious sample data.