This document describes VisionLabs' FACE_IS real-time face recognition and loyalty management solution. The system uses in-store cameras to identify customers by matching their faces to a database of reference photos. It then analyzes customer profiles and purchase histories to generate personalized offers for customers on a store manager's iPad or the customer's phone. The offers aim to boost sales and improve customer loyalty. The system also claims to help reduce losses from shoplifting by identifying customers.

1. REAL TIME FACE RECOGNITION
AND OFFER MANAGEMENT
AN INTEGRATED SOLUTION FROM VISIONLABS FOR
ADVANCED LOYALTY MANAGEMENT
FACE_IS

2. FACE_IS: A CLOUD BASED SERVICE
FOR ADVANCED LOYALTY MANAGEMENT
RECOGNIZE THE VIPS AND TREAT THEM BETTER
BOOST SALES BY RECOGNIZING CUSTOMERS EACH TIME THEY SHOP
Close the gap between
online customer profile
(style, preferences, etc.) and
offline shopping.
Build photo database of your
customers, recognize them
when they come through the
door, and make them feel
more welcome
2

3. FACE_IS: REAL TIME FACE RECOGNITION SERVICE
BOOSTS LOYALTY MANAGEMENT
In-store camera
identifies the customer
and finds his/her
CRM profile using face
image as a key
1
IDENTIFY
2
ANALYSE
Customer profile in CRM, history
of purchases and other data is
analyzed using sophisticated
data mining algorithms to
generate personal offers
3
DELIVER
Store
Manager’s iPad
helps to make
personal offer
to customer
Deliver
personal offer
to customer’s
phone/app
3

4. IDENTIFY: FACE RECOGNITION
Reference
photo is stored
in loyalty /
CRM system
CLIENT
IDENTIFIED
SUCCESSFULLY
Name:
Mrs. Your Client
ID: 58975
In-store camera captures images
of all entering customers and
recognizes them by matching
images with the database of
REFERENCE PHOTOS
1
IDENTIFY
4

5. ANALYZE: PERSONAL OFFERS
Recommendation
for “Black Style
Lover”:
DATA MINING AND
ALGORITHMS FOR
PREDICTIVE ANALYTICS
what does customer like?
what are the links between items?
what do people similar to this
customer like?
which offer is good for us and
interesting for this customer?
which segment does this customer
belong to?
do we have this in stock?
is this good for the season ?
do we have holiday ahead… etc.
Complete sales
history
Other
information
History of
customer’s
purchases
Stocks
Purchase price
Promo
Holiday calendar
DELIVERPersonal offers
engine is a
software solution
to generate
“personal offers”
with a high ratio
of acceptance
2
ANALYSE
5

6. DELIVER: STORE MANAGER IPAD
6
List of last
purchases in
any of YOUR
store
Personal
recommendations
are displayed in real
time
“Tap” on an item is
a confirmation that
the manager has
offered selected
item to the
customer.
This information is
very important and
is stored in the
system to help us
improve the offer
acceptance ratio
Customer photo stored in
YOUR database and used
for identification
Photo taken by in-
store or entrance
camera. Border color
shows a customer
level in the loyalty
program (bronze,
silver, gold or other)
6

7. DELIVER: TO CUSTOMER'S PHONE
Personal offers can be delivered to
customers via SMS, PUSH-
notification or e-mail. Personal offers
may depend on the customer’s
proximity to the nearest store.
PERSONAL
OFFER
DELIVERED TO
APPLICATION
7

8. RESULT
8
CUSTOMER
ACCEPTS
OFFERS

9. REFERENCE PHOTOS AND PERSONAL DATA OF CUSTOMERS
SHOULD BE USED CAREFULLY
PERSONAL DATA IS 100% ENCRYPTED AND 100% PROTECTED
AGAINST UNAUTHORIZED ACCESS
Handling of
personal data
should be aligned
with local laws
and corporate IT
security
9

10. │ VISIONLABS is a visual recognition company and
provider of business intelligent solutions based on
original world-leading recognition technology
│ VISIONLABS is a team of professionals with significant
knowledge and experience in computer science and
business
Sasha Johnson
Head of
advisory board
Alexey Nekhaev
COO,
Co-founder
Alexander Khanin
CEO,
Co-founder
Ivan Laptev
Head of scientific
board,
Co-founder
ABOUT VISIONLABS
10

11. 11
KEY PARTNERS
11

12. … AND ONE MORE THING
12

13. FRAUDSTERS ARE NEVER COMES ALONE…
13
RETAILERS
SUFFER DUE TO
FRAUD
LOSSES AMOUNT TO 1,5% OF ANNUAL TURNOVER

14. WHY RETAILERS LOSE MONEY?
14
•SHOPLIFTING
• Fraud Employees
• Violation of Regulations
SHOPLIFTING IS UP TO 1% OF ANNUAL TURNOVER

15. FACE_IS: A CLOUD BASED SERVICE
FOR REAL TIME FACE RECOGNITION
15
Reduction of
losses from
shoplifting up to
1% of annual
turnover
CAUSE YOU KNOW
CUSTOMERS BY FACE!

16. ALEXANDER KHANIN, CEO
TEL: +7 (926) 988-78-91
E-MAIL: A.KHANIN@VISIONLABS.RU
WEB: WWW.VISIONLABS.RU/
VisionLabs © 2015
CONTACTS