This document summarizes an AI robot cashier solution from RRS ROBOT-CASHIER. The cashier uses computer vision and a dual camera system to accurately recognize food items. RRS has signed a contract to supply its next-gen robot cashiers to 56 restaurants of a large Portuguese chain. The cashiers can reduce labor costs by up to 3,100 EUR per month and decrease customer wait times dramatically. RRS has also received investment from Ariel Investments Corp. and aims to capture the foodtech market.

1. ROBOT-CASHIER
AI solutions for retail & self-service restaurants
to improve Customer Experience
and decrease Labor Costs dramatically

2. Next-Gen AI Robot-Cashier
Significant Labor Costs savings – up to 3 100 EUR/month
Dramatic Customer Waiting Time reduction
First major Contract with leading Portuguese restaurant chain
Pingo Doce is the largest Portuguese supermarket and self-service
operators.
Contract to supply Next-Gen Robot-Cashier to 56 restaurants.
Proof-of-concept reported a 99,54% recognition rate.
Successful Investment Round
New investor: Ariel Investments Corp. (USA)
RRS ROBOT-CASHIER:
Capturing the FoodTech market

3. dual data source
capable to measure sizes
overlap-proof
BETTER
RECOGNITION
ACCURACY
2-CAMERA ROBOT-CASHIER
2
2ND CAMERA ADDITION

4. Preliminary
photoshoot of the
dish
Labelling & Markup of
pictures and training of
neural network
Image capture and
recognition
Shooting Training Identification
Order formation
and payment
Payment
TECHNOLOGY: HOW IT WORKS
3

5. 4+ portions of each dish
1 dish at different angles
TECHNOLOGY: NEW PRODUCT INTRODUCTION
4
RRS TEAM:
LABELING AND TRAINING
SUCCESSFUL RECOGNITION

6. estimation and standardization of average serving sizes
better inventory adjustments and production planning
selling weighted dishes
5
built-in weight scales
TECHNOLOGY: Weight Scales
Built-in scales:

7. 6
6
TECHNOLOGY: Web-Interface

8. Hidden dish
Obstacle recognition
Proven anti-fraud approach
REQUEST TO REMOVE THE OBSTACLE
SIGNAL LAMP & MANAGER ALERTS
TECHNOLOGY: Anti-Fraud Concept

9. NEW DISH
INTRODUCTION
Labelling & training
the neural network
DISH PRESENTATION
VARIETY
4-5 portions of
each dish
NO OVERLAP
Serving standards
COMPUTER VISION: OPPORTUNITIES & LIMITATIONS
8

10. DIFFERENT DISHES –
SAME INGREDIENTS
Active Menu control
APPEARANCE
DRIFT
Serving
standards &
production
control
SIMILAR DISHES
Sell on
different
dates
9
COMPUTER VISION: OPPORTUNITIES & LIMITATIONS

11. 10
Financial model and leasing options
Savings from the first month
No Technological (Application) Risk: “Robot-Cashier works properly – or receive your money back”
Payment period Leasing Payment
Support
(Hardware +
Software)
Total Monthly
Payment
36 months
48 months
60 months
3.356% €402.72
2.678% €321.36
2.275% €273
€240
(€160 + €80)
€642.72
€561.36
€513

12. Retail Robotics Solutions
www.rrs-catering.eu
40 rue des Blancs Manteaux, 75004 Paris, France
Phone: +33 6 58 48 83 23
dimitry.berulava@rrs-catering.eu
Dimitry Berulava, Head of Sales
rodin@rrs-catering.eu
Dmitry Rodin, CEO