AI-based forecasts
Accurate forecasts. Not gut feeling.
Nesto calculates guest numbers, turnover and staffing requirements for the next 4 weeks on an hourly basis and per station. Based on historical data, weather, holidays, and industry trends. With over 25 million forecast days and 8+ years of experience, our AI models know when you need whom. Not a glass ball. Just data.
Trust from leading brands
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What the dashboard does for you
The most important benefits on a glimpse
Between 85-90% + accuracy, 4 weeks ahead
Nesto predicts guest numbers, revenue, and staffing requirements with over 90% accuracy — based on historical data, external factors and more than 20 million forecast days.
Hourly forecasts per station
Not just “Friday will be full,” but “Friday 6-8 pm you need 4 at the bar, 6 in the kitchen.” Hourly granularity and division by station enable precise shift planning without over or understaffing.
Automatic consideration of external factors
Weather, holidays, vacation periods, industry trends — the AI automatically takes into account all relevant factors that influence your business. You don't have to enter anything manually, the forecasts adjust dynamically.
Data-based decisions instead of guesswork
With precise forecasts, you plan work schedules based on data. This reduces overstaffing and understaffing and measurably improves your margin.
“My conclusion:
Modern & innovative with potential for the future! I was very impressed by Nesto: AI forecast with 92% accuracy rate, automatic planning with top computing power & time savings of 70-80%, interfaces for payroll and a great employee app that is well received.”
Data-based forecasts
artificial intelligence instead of a glass ball
Nesto's AI models are trained with historical cash register data and automatically take external factors into account: weather, holidays, industry trends, even social assistance payout dates. The algorithms recognize relationships and apply them to the future.
Historical transaction data from your POS system
Automatic consideration of weather, holidays, holidays
Industry trends and transfer learning from other locations
Precise control
forecasts on an hourly basis and per station
Stop guessing “Let's use 5 people.” But know: “6-8 p.m.: 6 bar, 4 kitchen, 8 service.” Hourly forecasts per station make shift planning accurate — and avoid expensive staffing errors.
Hourly forecasts instead of daily averages
Breakdown by stations (bar, kitchen, service)
Distinction by sales channel (dine-in, delivery, takeaway)
Getting better and better
Data science teamcontinuously optimizes forecasts
Nestos data science experts monitor all forecasts and analyze deviations. With every deviation, the models learn and become more precise. After 3 months, forecasts are typically another 5-10% more accurate than at the beginning.
Continuous monitoring by data science team
Automatic re-training for pattern changes
More than 20 million forecast days validate the algorithms
Quick start
Accurate forecasts From day 1
Thanks to learning from hundreds of comparable locations, you can quickly get useful forecasts even if your location is completely new. AI uses findings from similar concepts. After 4 weeks with real data, the forecasts are then calibrated for specific locations and achieve good accuracy.
Usable forecasts
No waiting time start immediately with shift planning
Continuous optimization with real location data
Swap yours Crystal ball against data!
In a demo, we'll show you how Nesto predicts guests, revenue and staffing requirements for your locations — 4 weeks ahead, on an hourly basis, per station.
More features
What else do you with Nesto Can steer
The forecasts are just the start. Nesto offers you an end-to-end platform for precise personnel planning, ranging from AI-based forecasts to error-free preparatory payroll.
Automatic work schedule
Optimal work schedules in seconds instead of hours. Based on forecasts, qualifications, and compliance. Everything is automatic and legally secure.
Shift manager dashboard
See directly what is happening on the surface. All your key figures, employees and shifts at a glance.
employee app
Self-service for your team: View, swap shifts, apply for vacation. Transparency creates satisfaction, autonomy reduces your admin workload.
time recording
Time recording down to the second with automatic compliance check. Error-free data directly for your payslip.
FAQ
Everything you need to know about the shift manager dashboard From functions to integration to use.
Any more questions about the dashboard?
Our team is happy to answer all your questions or show you the dashboard live in a demo
Which external factors do the AI forecasts consider?
Die Umsatzprognosen and Gästeprognosen berücksichtigen automatisch: Wetter (Temperatur, Niederschlag, Sonne), Ferien- and Feiertage, Branchentrends, Saisonalität, Wochentage, lokale Events and sogar Auszahlungszeiträume from Sozialhilfen. In Summe across 70 Datenpunkte. Diese Faktoren fließen in the Forecast-Software ein, ohne that you sie manuell eingeben musst. Die KI aktualisiert externe Daten täglich automatisch.
How do AI-based sales forecasts and guest forecasts work?
Nestos LLM-Modelle analysieren historische Daten from your Kassensystem (Transaktionen, Gästezahlen) and externe Faktoren (Wetter, Feiertage, Ferienzeiten, Branchentrends). Die KI erkennt Muster and berechnet daraus stündliche Prognosen for Gäste, Umsatz and Personalbedarf – until to 4 Wochen voraus with 90%+ Genauigkeit. Die Forecast-Software berücksichtigt auch Unterschiede zwischen Umsatzkanälen wie Dine-In, Delivery and Takeaway.
How accurate are the sales forecasts and guest forecasts?
Nestos Forecasts erreichen eine hohe Genauigkeit across einen 4-Wochen-Horizont. Die Genauigkeit variiert je after Branche, Standort and verfügbaren historischen Daten. Nach 3-6 Monaten optimiert sich the Forecast-Software kontinuierlich and erreicht typischerweise until to 90% Genauigkeit. Über 18,4 Millionen prognostizierte Tage validieren unsere Algorithmen täglich.
Do forecasts work for new locations without historical data?
Ja. Die KI nutzt Erkenntnisse from ähnlichen Standorten and liefert nutzbare Prognosen auch ohne lokale Historie. Nach 4 Wochen with echten Daten kalibriert sich the Forecast-Software automatisch on the neuen Standort and erreicht eine standort-spezifische Genauigkeit.
Who manages the integrations after go-live?
Unser Entwicklungsteam monitort alle Schnittstellen kontinuierlich. Bei Anomalien reagieren wir proaktiv, bevor you es bemerkst. Du hast direkten Zugang to unserem Support-Team.
What data does the forecast software need?
Nesto benötigt Zugang to your POS-System (Kassensystem) for historische Transaktionsdaten and Gästezahlen. Die Integration läuft automatisch across Schnittstellen. Optional integrieren wir Bestelldaten, Wetter and Event-Kalender. Nach Setup erstellt the Software kontinuierlich Umsatzprognosen and Gästeprognosen täglich aktualisiert, vollständig automatisiert.