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QSR Industries

Published on 

27 May 2026

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

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Challenge

  • No cross-location benchmarking was possible – each location operated in isolation
  • Existing software did not provide AI-based data for revenue optimization and demand analysis
  • Schedules were only in half-hour or hourly increments – staffing levels, especially in the evenings, did not precisely align with revenue
  • Staff costs could not be precisely aligned with revenue
  • Weekly schedules led to a high rate of preferred time-off requests and absenteeism

Solution

  • AI forecasts optimize demand planning in 15-minute intervals per location.
  • 15-minute intervals enable precise revenue and cost management.
  • Monthly schedules enhance predictability for employees and management.
  • A central dashboard compares the performance of all eight locations in real-time.
  • AI continuously learns revenue patterns and improves forecasts with continued use.
  • Dedicated support with a personal contact from day one.

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:

  • AI-powered staff scheduling for eight restaurant locations
  • Cross-location benchmarking and live performance comparisons
  • 15-minute shift scheduling based on revenue forecasts
  • Real-time cost control and productivity monitoring
  • Centralized control with location-specific flexibility

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.

Eight locations, no basis for comparison – planning based on experience instead of data

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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.

What -1.2% personnel costs mean despite wage increases

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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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