Restaurants

Artificial Intelligence for Restaurants

Stop paying high commission fees on bookings. Manage tables, orders, and optimize ingredient purchasing predictively with AI.

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Before

  • ✕Phone ringing during rush hour
  • ✕No-shows on table reservations
  • ✕Food waste and inaccurate purchasing
  • ✕Total reliance on expensive delivery platforms

With Mobizze

  • ✓Automatic multi-channel reservations
  • ✓Reminders with deposit for groups
  • ✓Exact stock forecasting based on data
  • ✓Direct sales and delivery via WhatsApp

Frequent Problems Solved

Calls During Service Hour

The phone ringing at 8 PM for reservations while the staff is overwhelmed serving dishes.

Food Waste

Buying too much fresh fish or meat for weekends that turned out quiet due to rain results in losses in the trash.

Margin Loss

Delivery apps charge 30%. You need your own automated channel to not strangle profitability.

How It Works in Practice: Workflow Example: Predictive Purchasing Management (Food Cost)

1

Variable Collection

The AI analyzes historical POS data, cross-referencing with weather, city events, and day of the week.

2

Sales Forecasting

The model calculates a 20% increase in demand for hot dishes and a drop for the terrace due to forecasted cold.

3

Order Alert

Generates an optimized draft purchase order for the meat and vegetable supplier.

4

Human Validation

The Chef or Manager approves the order with one click and the message is sent to the supplier.

Software & Integrations

POS SystemsTheFork / Zomato APIsWhatsApp Business APIWeather APIs

Required Data

  • Sales history (multiple years, if possible)
  • Digital menu and up-to-date prices
  • Restaurant floor plan and table capacity

Solution Limitations

The AI is focused on front-office and backend management. It does not judge food quality nor executes complex culinary preparation without specific hardware (e.g., IoT ovens).

Human Validation

In case of complaints on TripAdvisor/Google or local customer dissatisfaction, the flow is routed to the manager for a personalized response (AI only prepares a professional draft).

Implementation Estimate

2 to 3 weeks to automate reservations; up to 6 weeks for complex stock forecasting integrations in the POS.

Case Study

200% Increase in In-House Delivery

"

A craft burger chain introduced the Mobizze chatbot on WhatsApp and Instagram for ordering. By responding instantly and naturally (e.g., 'Your classic burger without onions arrives in 25 mins 🍔'), they escaped third-party platform fees. Direct sales tripled and the profit margin rose significantly.

Sector FAQs

Can the AI show the menu and take the entire order on WhatsApp? +
Yes, with images, side options (drink upselling), and it can process payment right on the phone, sending the order straight to the kitchen printer.
Is it capable of answering allergen questions? +
The assistant can present information from the technical sheets and forward the request for confirmation by the restaurant team. It does not guarantee the absence of cross-contamination and does not replace the establishment's validation.
If the restaurant is full, does the AI reject the reservation? +
Yes, checking the floor plan in real-time. However, it can keep them on a 'waiting list' and instantly notify the customer if a table cancels.

Ready to transform your business efficiency?

Discover how our AI agents can optimize your operations and scale your revenue.

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