In this presentation, Kantify presents why and how Artificial Intelligence has become a source of competitive advantage for retailers, where lies the untapped potential, and what are the limits and challenges of these technologies. Send us a message if you wish to learn more, we are here to help ! www.kantify.com

1. 1
NIK SUBRAMANIAN
Managing Partner
nik@kantify.com
www.kantify.com
Enabling retailers to unlock the value of their data
WHY ARTIFICIAL
INTELLIGENCE IS A GAME
CHANGER FOR RETAIL

2. 2KANTIFY
ABOUT US
We help retailers to
unlock the value of
their data.
Our Mission

3. 3KANTIFY
GENESIS
BEST START-UP
YOUNG
INNOVATING
COMPANY
FINALIST RBC
LAUREATE 2016

4. 4KANTIFY
WHY UNLOCK THE VALUE OF RETAIL DATA
A retailer using big data to the full
could increase its operating
margin by more than 60 percent.
“
2012
McKinsey & Company

5. 5KANTIFY
GROWTH OF DATA
EXTERNAL DATA
• Competitors’ prices
• Competitor’ assortments
• Contextual data
(meteorological,…)
• Other retailers’ data.
• …
INTERNAL
DATA
• Payment systems
• E-commerce transactions
• Digital marketing data
• Product data
• Consumer data
• …

6. 6KANTIFY
WHY UNLOCK THE VALUE OF RETAIL DATA
In 2020 merchant leaders will be
algorithms, prompting the top 10
retailers to cut their central
merchandising workforce by up to
1/3.
“
2016
Gartner

7. 7
WHAT
IS MACHINE LEARNING

8. 8WHAT IS MACHINE LEARNING
AUTONOMOUS VEHICLES
Source: Stanford

9. 9WHAT IS MACHINE LEARNING
MEDICAL AND LEGAL INTELLIGENCE
Source: IBM

10. 10WHAT IS MACHINE LEARNING
CUSTOMER BEHAVIOR APPLICATIONS
Source: Netflix

11. 11WHAT IS MACHINE LEARNING
A PARADIGM SHIFT
DATA
COMPUTER
PROGRAM
OUTPUT
DATA
COMPUTER PROGRAM
OUTPUT
TRADITIONAL
PROGRAMMING
MACHINE
LEARNING

12. 12
WHERE
MACHINE LEARNING CAN BE USED

13. 13WHERE CAN MACHINE LEARNING BE USED
SOME APPLICATIONS FROM KANTIFY
PERSONALIZED
RECOMMENDATIONS
SHOW THE RIGHT PRODUCT TO THE
RIGHT CUSTOMER
PERSONALIZED
DISCOUNTS
OFFER THE RIGHT INCENTIVE TO EACH
CUSTOMER
DYNAMIC PRICING
SET THE RIGHT PRICE FOR EACH
PRODUCT
MARKETING
ORCHESTRATION
SEND THE RIGHT MESSAGE TO THE
RIGHT CUSTOMER AT THE RIGHT TIME
OPTIMIZED
INVENTORY
BUY THE RIGHT PRODUCTSIN THE
RIGHT QUANTITIES

14. 14
HOW
MACHINE LEARNING CAN BE USED

15. 15HOW CAN MACHINE LEARNING BE USED
THREE MODELS
INTELLIGENCE AUGMENTATION AUTOMATION
Give insights Propose Actions Take Actions

16. 16
CHALLENGES
OF MACHINE LEARNING

17. 17CUSTOMER ACCEPTANCE
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Sales associates know what's in my wish basket
Feedback from friend on items I'm considering
Recommendations based on social media activity
Sales associates know about my preferences
Personalized Promotions
Website tailored to who I am
Complimentary Items
Personalized Recommendations
Cool Neutral Creepy
MACHINE LEARNING IS COOL – AS LONG AS YOU DON’T MIX CHANNELS
OMNICHANNEL
INTELLIGENCE IS
STILL (KINDA) CREEPY
Source: Accenture
BETTER SERVICE
IS COOL

18. 18TRUSTING THE MODEL
MODERN TECHNIQUES ALLOW TO OPEN UP A BLACK BOX
Source: “Why Should I Trust You?” Explaining the Predictionsof Any Classifier
– Ribeiro, Singh & Guestrin, 2016

19. 19
USE YOUR DATA
TODAY
Start by getting in touch
nik@kantify.com - +32 478 60 25 80