My session on #SmartRetail presented in #MOBConf #DevCon2018 at Meetup Cafe in Kerala Startup Mission #KSUM. This presentation delves deeper into the convergence of Artificial Intelligence, Retail Value Chain and Digital Economy.

1. S M A R T R E T A I L
A P P L Y I N G A R T I F I C I A L I N T E L L I G E N C E A N D A D V A N C E D
A N A L Y T I C S

2. 4 5 % O F R E T A I L E R S P L A N T O U S E
A R T I F I C I A L I N T E L L I G E N C E W I T H I N N E X T
T H R E E Y E A R S T O I M P R O V E C U S T O M E R
E X P E R I E N C E

3. 7 9 % O F S H O P P E R S R E S E A R C H P R O D U C T S
P R I O R T O P U R C H A S I N G I N - S T O R E A N D 8 5 %
R E S E A R C H P R O D U C T S P R I O R T O
P U R C H A S I N G O N L I N E

4. 4 0 % M I L L E N N I A L A R E U S I N G V O I C E
E N A B L E D D I G I T A L A S S I S T A N T S S U C H
A S A M A Z O N E C H O A N D G O O G L E
H O M E

5. A I
A D V A N T A G E S
F O R R E T A I L
• Necessity for superior
surveillance and monitoring
at a physical store
• Enhanced User Experience
• Improved Productivity
• Maintaining Inventory
Accuracy
• Supply chain Optimisation

6. A I
S O L U T I O N S
F O R R E T A I L
• Product Recommendation and
Planning
• Customer Relationship
Management
• Visual Search
• Virtual Assistant
• Price Optimisation
• Payment Service Management
• Supply chain Management and
Demand Planning

7. A I
S O L U T I O N S
F O R R E T A I L
• Predictive Merchandising
• Programmatic Advertising
• Market Forecasting
• Instore visual monitoring
• Location based Marketing
• Real Time Pricing
• Real Time Incentives
• Real Time Product Targeting

8. T O P A I U S E C A S E S I N
R E T A I L
A P P L I E D A R T I F I C I A L I N T E L L I G E N C E

9. R E T A R G E T
C U S T O M E R S W H O
H A V E A L R E A D Y
E X P R E S S E D
I N T E R E S T I N Y O U R
P R O D U C T S A N D
S E R V I C E S
R E T A R G E T I N G

10. R E C O M M E N D A T I O
N
P E R S O N A L I S A T I O N
• These systems leverage customer data to
retain and upgrade customers with
personalised recommendation via email, site
search or other channels.
• Key Metrics
• B2C Sales
• Cash flow
• Engagement and conversion
• Return on Marketing Investment
• Reference
• Reflektion for Buy Seasons
• BloomReach for Neiman Marcus

11. M E R C H A N D I S I N G
O P T I M I S A T I O N
• Optimising price and product
by leveraging ML and Big Data
to optimise online and offline
merchandising
• Key Metrics
• B2C Sales
• References
• BloomReach for Wayfair
• Celect for Boton

12. C U S T O M E R
S E R V I C E C H A T B O T
• 24/7 functioning, intelligent,
self improving chatbot to
handle most queries and
transfer customers to live
agents when needed. Reduce
customer service cost and
increase customer
satisfaction.
• Key Metrics
• Customer Service
Effectiveness

13. A I F O R A D D R E S S I N G P A I N P O I N T S I N
M U L T I C H A N N E L R E T A I L I N D U S T R Y
P O I N T O F V I E W

14. C U S T O M E R ’ S B U Y I N G B E H A V I O U R A N D
L I F E S T Y L E C H O I C E S A R E C H A N G I N G .
C O M P E T I T I V E P R E S S U R E F R O M D I S R U P T I V E
P U R E P L A Y C O M M E N C E P L A Y E R S A R E C A U S I N G
R A D I C A L C H A L L E N G E S T O A N T I Q U A T E D
B U S I N E S S M O D E L S , D R I V I N G D O W N P R I C E S A N D
D R I V I N G U P C O S T S .
P A I N P O I N T S

16. H O W I S A I R E V O L U T I O N I S I N G
R E T A I L
P O I N T O F V I E W

17. F A S T E S T W A Y T O F I N D
Y O U R L O O K

18. P I N T E R E S T R E C E N T L Y
L A U N C H E D A V I S U A L S E A R C H
T O O L C A L L E D L E N S W H I C H
U S E S M A C H I N E V I S I O N T O
D E T E C T I T E M S O N T H E W E B
O R I N T H E P I N T E R E S T
L I B R A R Y A N D S U G G E S T
R E L A T E D I T E M S
P I N T E R E S T L E N S

19. N E I M A N M A R C U S L A U N C H E D A I
D R I V E N S N A P T H A T H E L P S
C U S T O M E R S T O U S E T H E I R
S M A R T P H O N E C A M E R A S T O
T A K E P I C T U R E S O F A N I T E M
T H E Y L I K E A N D A P P D I S P L A Y S
S I M I L A R I T E M S F R O M T H E
S T O R E I N V E N T O R Y
N E I M A N M A R C U S S N A P

20. H Y P E R P E R S O N A L
P R O D U C T
R E C O M M E N D A T I O N S

21. I B M W A T S O N
P A R T N E R E D W I T H T H E
N O R T H F A C E T O A S K
S H O P P E R S Q U E S T I O N S
A B O U T T H E I R G E N D E R ,
T I M E O F Y E A R , A N D
T E C H N I C A L P R O D U C T
D E T A I L S T O T A I L O R
P R O D U C T
R E C O M M E N D A T I O N S .
I B M W A T S O N N O R T H F A C E

22. S T Y L E S E R V I C E T H R E A D A S K S
C U S T O M E R S T O C O M P L E T E A
Q U E S T I O N N A I R E A N D U P L O A D
I M A G E S O F T H E M S E L VE S . A
S T Y L I S T U S E S T H E I N F O R M A T I O N
T O U N D E R S T A N D E A C H C L I E N T ’ S
N E E D S A N D U S E S C O M P A N Y ’ S A I
A L G O R I T H M T O S O R T T H R O U G H
T H O U S A N D S O F P R O D U C T S F O R
P E R S O N A L I S E D S T Y L E
S U G G E S T I O N S
T H R E A D U S I N G A I

23. U N P R E C E D E N T E D
O M N I C H A N N E L
S E R V I C E

24. F A R F E T C H , T H E W O R L D ’ S T O P
L U X U R Y O N L I N E M A R K E T P L A C E
U S E S A I T O I M P R O V E S U P P L Y C H A I N
V I S I B I L I T Y .
A I H E L P S F A R F E T C H ’ S P A R T N E R S
I N C L U D I N G 1 , 5 0 0 B O U T I Q U E S A N D
O V E R 2 0 0 B R A N D S T O L I N K T H E I R
O N L I N E I N V E N T O R Y W I T H
I N V E N T O R Y I N T H E I R P H Y S I C A L
S T O R E S A N D D E L I V E R S E R V I C E S
L I K E C L I C K A N D C O L L E C T A N D I N -
S T O R E R E T U R N S .
F A R F E T C H U S E S A I F O R
S U P P L Y C H A I N V I S I B I L I T Y

25. B U R B U R Y L A U N C H E D A
F A C E B O O K M E S S E N G E R B O T
D U R I N G L O N D O N F A S H I O N
W E E K T O O F F E R E X C L U S I V E
G L I M P S E O F N E W
C O L L E C T I O N B E F O R E T H E
R U N A W A Y D E B U T P L U S L I V E
C U S T O M E R S E R V I C E
B U R B U R Y F A C E B O O K B O T S

26. A S A V V Y S O C I A L
S A L E S A S S I S T A N T

27. P I N T E R E ST L A U N C H E D S H O P T H E
L O O K , A M A C H I N E L E A R N I N G T O O L
T H A T I D E N T I F I E S P I N N E D I T E M S
S H O P P E R S C A N B U Y , I N C L U D I N G
F A S H I O N S F R O M M A J O R
R E T A I L E R S . T H E I N S I G H T F U L D A T A
A N A L Y T I C S F R O M S H O P T H E L O O K
C A N A L S O T E L L R E T A I L E R S
W H E T H E R A S P O N S O R E D P O S T I S
F O R S A L E .
P I N T E R E S T S H O P T H E
L O O K

28. S H O P L I K E A S T Y L I S T

29. T O G E T T E C H S A V V Y F A S H I O N
C O N S C I O U S M I L L E N N I A L A N D G E N
Z A S M O B I L E P E R S O N A L S T Y L I S T ,
T H E H O O K T E A M A T I N T E L L I G E N T
N O D E C R E A T E D T H E F I R S T A I
G E N E R A T E D F A S H I O N F E E D F O R
C U S T O M E R S .
H O O K L E A R N S I N R E A L T I M E W H A T
A S H O P P E R L I K E S J U S T B Y
A N A L Y S I N G W H I C H P R O D U C T
I M A G E S T H E I N D I V I D U A L H A S L I K E D
O R A D D E D S O S H O P P ER S F I N D
T H E I T E M S T H E Y L O V E F A S T .
T H E A P P S E N D S S H O P P E R S R E A L
T I M E P R I C E D R O P A L E R T S O N
T H E I R L I K E D P R O D U C T S .
H O O K T E A M A T I N T E L L I G E N T
N O D E C R E A T E S A I F E E D

30. T H E U L T I M A T E
T R E N D S P O T T E R

31. A I C A N C R A W L E - C O M M E R C E S I T E S
T O P I N P O I N T E X A C T L Y W H I C H
P R O D U C T S A R E M O S T V I S I B L E .
I N T E L L I G E N C E N O D E B U I L T T H E
W O R L D ’ S M O S T C O M P R E H E N S I V E
R E T A I L C R A W L I N G F R A M E W O R K L I K E
G O O G L E F O R F A S H I O N .
T H E S Y S T E M C R A W L S M O R E T H A N
O N E B I L L I O N P R O D U C T S F R O M
1 3 0 , 0 0 0 B R A N D S I N 1 4 0 0
C A T E G O R I E S I N R E A L T I M E U S I N G A I
A N D M L .
I N T E L L I G E N C E N O D E

32. T H E B E S T W A Y T O
E N S U R E P R I C E I S
R I G H T

33. B I G D A T A T O O L S L I K E I N O P T I M I Z E R
H E L P R E T A I L ER S M A I N T A I N
C O M P E T I T I V E P R I C I N G S T R A T E G Y ,
C O M B I N I N G A I A N D M A C H I N E
L E A R N I N G
R E T A I L E R S C A N I N T E G R A T E T H I S
A P I I N T O B R A N D D A T A , S O T H E R E
I S A R U L E B A S E D E N G I N E T H A T
K E E P S T H E P R I C E O P T I M I S E D ,
D E P E N D I N G O N R E A L T I M E
E X T E R N A L F A C T O R S L I K E
I N V E N T O R Y , C O M P E T I T O R S O U T O F
S T O C K S I T U A T I O N S A N D
D I S C O U N T S .
A I S I M P L I F I E S B I G D A T A !

34. A I S I M P L I F I E S R E T A I L B I G D A T A , W H I C H H E L P S
C O M P A N I E S I M P R O V E T H E I R P R O C E S S A N D
B O T T O M L I N E - W H I L E K E E P I N G S H O P P E R S
H A P P Y , L O Y A L A N D E N L I G H T E N E D