Next-Generation Technology

aiR intelligenceSeries

Demand Forecasting

Branch-level daily and hourly sales forecasting based on weather, Ramadan, holidays and location type.

How Does It Work?

aiR intelligence demand forecasting produces a branch-specific prediction through a four-layer analysis pipeline.

01

Historical Pattern Analysis

Core sales patterns such as day of week, seasonality and long-term trend are extracted. The model is built from a minimum of four weeks of data.

02

External Factor Integration

Weather, Ramadan, public holidays, local events and campaign calendars are fed into the model.

03

Branch Type Modelling

Mall, high street, university, airport and takeaway branches are analysed with separate models reflecting their different behaviour patterns.

04

Hourly Granularity

An hourly breakdown is produced alongside the daily total forecast, with peak and dead hours identified automatically.

External Factors

Historical data alone is not enough. We feed signals from the real world into the model.

Weather

Correlations such as more dine-in on rainy days and higher cold drink demand on hot days are calculated automatically.

Rain forecast → dine-in +18%

Ramadan & Holidays

Ramadan iftar and suhoor hours, public holidays, mid-term school breaks and bridge days are built into the model.

Iftar time → order peak x3.2

Seasonality

Seasonal patterns are captured — a preference for outdoor seating in summer, more hot drinks in winter.

June → cold drinks +45%

Local Events

Local events such as concerts, matches and trade fairs are reflected in the forecasts of nearby branches.

Match at the stadium → nearby branches +35%

Use Cases

Forecast results turn into concrete savings across every area of the operation.

Raw Material Ordering

Cutting Waste

Calculate raw material needs automatically from the forecast order count, and cut over-ordering waste by up to 30%.

30%waste reduction

Staff Shift Plan

Peak / Dead Hour Detection

Set staffing from the hourly forecast: extra people at peak times, a minimum crew when it is quiet.

25%efficiency gain

Stock Level Tuning

Optimum Stock

Optimise stock levels from daily and weekly forecasts, minimising both overstock and stockout risk.

20%inventory optimisation

A Daily Forecast Example

An excerpt from the AI briefing delivered to the branch manager every morning.

aiR intelligence Tomorrow’s Forecast

Kadıköy Branch — Monday

Forecast Orders
287+12% vs last Monday
Weather

Rain expected → a rise in dine-in is expected

Peak Hours
12:00-14:0019:00-21:00peak hour forecast
Recommendation

+1 server is recommended for the lunch peak and +2 kitchen staff for the evening.

Model accuracy (last 30 days)%89.2

Frequently Asked Questions

See Demand Forecasting Live

Try AI-assisted demand forecasting built for your own branch.

Request a Demo

Using a different POS system?

No problem — you do not need to replace your POS.

With Restaurant Intelligence as a Service, send your sales data every 3 minutes and get all of aiR intelligence's anomaly detection, demand forecasting, menu intelligence and branch analysis. RIaaS is made for you.

Why robotPOS?

The Easiest, Fastest and Most Reliable Restaurant Automation and Management System

  • Easy and Practical to Use

    Solutions that adapt to your workflow and way of working — practical, quick to learn and dependable for years.

  • 23 Years of Experience

    Since 2003 we have built end-to-end management solutions, from boutique venues to restaurant and cafe chains with hundreds of branches.

  • Specialised Solutions

    We work solely on restaurant and cafe automation, and we deepen that expertise every day.

  • Foresight with AI

    aiR intelligence turns your sales data into foresight and action: anomaly detection, demand forecasting, menu intelligence and automated task tracking.

Using robotPOS

The choice of Türkiye's leading brands: robotPOS

  • Tavuk Dünyası
    340+ Branches
  • Kahve Dünyası
    340+ Branches
  • HD Holding
    325+ Branches
  • Coffy
    200+ Branches
  • Köfteci Ramiz
    100+ Branches
  • Faruk Güllüoğlu
    95+ Branches

What Our Customers Say

What our users think about their robotPOS experience

On this journey that began in Ankara in 1995, we have been serving our guests quality food at affordable prices without pause for more than 23 years. With nearly 300 restaurants across Türkiye and Azerbaijan bursting with flavour, master chefs who know their craft, our quality of service and the brands under our roof (HD İskender, HD Döner, Pidem and Makarnam), we have become Türkiye's largest domestically owned restaurant chain!
HH
Hd Holding

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