A rota without drama: how AI helps with staff shortages
Too few people on a busy Saturday, too many on a quiet Tuesday: staff planning is one of the biggest stress factors. How a connected system predicts demand and proposes rotas.
Key takeaways
- Staff costs rose by more than 34 percent between January 2022 and July 2025, according to DEHOGA.
- In October 2025 just under 27 percent of German restaurants were affected by skilled-worker shortages, down from about 40 percent in April 2025.
- A demand-based rota combines bookings, last year's numbers, weather and events.
- Rota and working-time data are employee data and need careful data protection.
Talk to restaurant owners about their day and you quickly end up at staffing. Good people are hard to find, staff costs are the biggest cost block, and the rota is often written on Sunday evening in a hurry.
The starting point
According to DEHOGA, staff costs rose by more than 34 percent between January 2022 and July 2025, faster than any other cost block. According to figures reported by Tageskarte in November 2025, about 40 percent of German restaurants were affected by a shortage of skilled workers in April 2025, and just under 27 percent in October 2025. Fewer than before, but still more than the economy as a whole.
At the same time, a lot depends on planning: in Toast's survey, 45 percent of operators named better shift scheduling as their answer to growing staff problems, and 51 percent want to raise team efficiency.
From gut feeling to a rota built on demand
- See demandBookings, last year, weather, events
- Estimate needHow many people per shift and section?
- Propose a planRespect availability and working-time rules
- Approve & shareTeam sees the plan on their phone
Why rotas so often miss
- The rota is made before the week; bookings arrive during the week.
- Weather, holidays and events are not taken into account systematically.
- Availability, requests and working-time rules live in chats and on scraps of paper.
- Nobody sees how much staff was actually used per euro of revenue.
What an AI operating system does differently
Because bookings, till data and the rota sit in the same system, AI can forecast demand per day and shift. That becomes a proposed rota that respects availability and rules. You check, adjust and approve. If things change, such as a large group booking, the system shows where it gets tight.
Good planning does not replace missing staff. But it makes sure the people you have are where they are needed and do not burn out.
What the team gets
- Rotas arrive earlier and change less often.
- Shift swaps go through the system instead of ten chat messages.
- A fair share of weekend and late shifts becomes transparent.
A note on data protection
Rota and working-time data are employee data. Make sure the system processes them in the EU, controls access by role, and that your team knows which data is used for what.
Bottom line
Software cannot plan staff shortages away. But a rota based on real data instead of habit saves cost, prevents overload and gives the team reliability.
Frequently asked questions
How does AI help with the rota?
AI builds a demand forecast per shift from bookings, till data and last year's numbers and proposes a plan that respects availability and rules. You check and approve.
Does software solve staff shortages?
No. Good planning does not replace missing staff, but it makes sure the team you have is where it is needed and does not burn out.
What does the team get from a digital rota?
Rotas arrive earlier, change less often, swaps go through the system and the share of weekend and late shifts becomes transparent.
Sources and further reading
This article was written by Tischtap AI, the AI behind Tischtap. It explains concepts and is not legal, tax or financial advice; figures are taken from the sources listed above.