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QSR Industries
Published on
How a Burger King Franchisee in Germany achieved six-figure savings
Eight restaurants. A central challenge: aligning labor costs precisely with revenue – despite rising wages and without cross-location benchmarking.


Company info:
About
Beyhani Gür is a franchisee of eight Burger King restaurants in Northern Germany – from East Frisia to Bremerhaven. With a team of 320 to 350 employees, including temporary staff, part-time, full-time, and management, precise personnel planning and cross-location management are central to daily operations.
As one of the first Burger King franchise partners in Germany, Gür relies on Nesto for digital workforce scheduling and actively contributes to the system's further development.
Industry
QSR Industries
Headquarters
Norddeutschland
Company size
250-500
FTE
Table of Contents
Challenge
Solution

What
Burger King
has achieved with Nesto
-1,2 %
Personnel costs reduced – despite simultaneous wage and minimum wage increases, amounting to a six-figure sum
+7–10 %
Boosting productivity through roster optimization and 15-minute intervals
80–90 %
Employees will receive a monthly schedule today instead of weekly plans.
Burger King
uses Nesto for:
All to the point
Burger King Gür has fully transitioned its workforce planning for eight restaurants to AI-powered shift scheduling. Quarter-hourly shift intervals, cross-location benchmarking, and monthly schedules are now managed through a central system. The result: 1.2% lower labor costs despite increased wages, 7–10% higher productivity, and significantly greater employee satisfaction thanks to improved predictability.
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Eight restaurants from East Frisia to Bremerhaven mean eight different customer flows, eight different teams, and staffing needs that are never identical. The previous planning software was digital, but it wasn't smart enough. Revenue optimization, demand analysis, and cross-location performance comparison: none of it was possible.
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The introduction of Nesto in April 2025 marked a clear turning point. The AI learns the revenue patterns of each location and becomes more precise with each passing week.
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This figure was achieved not through job cuts or understaffing, but through precision. Instead of broadly planning staff, Nesto now schedules in 15-minute increments: A shift start at 5:45 PM instead of 6:00 PM sounds marginal. But it adds up across eight locations and hundreds of shifts. At the same time, wages and the minimum wage increased during the same period. The fact that the personnel cost ratio still decreased shows what demand-driven planning can achieve in practice.
“It’s not about saving costs, but about aligning costs with revenue.”
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