1 billion+ 130,000+ 1100+ 1 petabyte ofdata ... - retail news · the whitepaper gleans insights...
TRANSCRIPT
© 2016 3/29/2016 1
1 BILLION+UNIQUE PRODUCTS
1 petabyteOF DATA
1100+CATEGORIES
130,000+UNIQUE BRANDS
OUR PRODUCT SUITE HELPS OPTIMIZE THE
ENTIRE RETAIL LIFECYCLE:
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DESIGN PLANOGRAM SUPPLY CHAIN VISUAL
MERCHANDISING
PROMOTIONS PRODUCT
RECOMMENDATIONS
PRICINGLOGISTICS
Intelligence Node film
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ABOUT THE REPORT
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Why this Report?
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The Indian Retail industry is projected to grow to $ 1 Trillion by 2020
Organized retail (offline +E-commerce) is expected to grow at a CAGR of
20% reaching $180 billion by 2020
India is slated to become the youngest country on the planet as early as
2021, with more 3/4th of the population being millennials or younger.
Millenials by choice are cross platform shoppers who like brands/retailers to customize their buying experience- birth of relevance commerce
As fashion analytics experts, we felt obliged to share insights about India’s fashion landscape.
The whitepaper gleans insights from 1,784,090 SKU’s across 12,058
brands identified by Intelligence Node across India’s organized fashion sector for FY 2015-16
EVOLUTION OF RETAIL
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From a shopper behavior perspective
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Retail Market Size - 2015
$600
BILLION
$1
Retail Market Size - 2020
SINGLE CHANNEL COMMERCE
2015+
MULTI CHANNEL COMMERCE CROSS CHANNEL
COMMERCEOMNI CHANNEL
COMMERCERELEVENCE COMMERCE
2012
2010
2008
2006
TRILLION
Breakdown of Retail
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USD Billion ($)
0 200 400 600 800 1000 1200
2005
2010
2015
2020
General vs Modern Trade
Modern Trade General Trade
+12%
890-910 165-180
550-560 60-70
300-310
15-2
0
200-210
5-1
0
CAGR (2015-2020)
21%
10%
( India )
Future-Role of Mobile in E-Commerce
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11%13%
17%
23%
44%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
0
100
200
300
400
500
600
700
800
900
2012 2013 2014 2015 2020
on
line
pen
etra
tio
n
Mo
bile
Ph
on
e/Sm
art
-Eco
m U
sers
Digitisation trend for Indian market(in mn)
MOBILE PHONE USERS SMART PHONE USERS ONLINE PENETRATION
Internet users are expected to more than double over the next 5 years, with more than 44%
of Indian population expected to be online
Smartphone proliferation to increase from 120-140 million in 2014 to 500-600 million in 2020
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“It is really hard to design products by focus groups. A lot of
times, people don’t know what they want until you show it to them.”
- STEVE JOBS, BUSINESSWEEK, MAY 25, 1998
Who are the
shoppers driving
this growth?
Today, We can cater to shoppers who
know exactly what they want.
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Today, we cater to shoppers who know exactly what they want
WEBSITES
DISCOUNTS
AND PROMOS
COMPARISION
SHOPPING
SHOW
ROOMING
PRODUCT
REVIEWS
SOCIAL
PLUGINS
SOCIAL
MEDIA
WISHLISTS
WEBROOMING
Future – Millennials will be the power
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India Population Breakdown- 2015
Millenials or younger Non Millenials
India Population Breakdown-2020
Millenials or younger Non- Millenials
64%
36%
76%
24%
WHAT MATTERS TO
MILLENNIALS IN SELECTING A
PRODUCT/BRAND
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MILLENNIALS SAY THEY WILL
MILLENIALS PURCHASE DUE TORECOMMENDATION ON SOCIAL MEDIA
3 million minutesMILLENNIALS SPEND ON MOBILEPER MONTH.
68%
40%
33%
28%
Item Price Previous Usage
And Trust Of Brands
Male Millennials Would BuyEverything Online If TheyCould
Female Millennials Would BuyEverything OnlineIf They Could
Shopper Loyalty Cards And
Discounts
51%
.
millennials use video 2xmore to make purchasedecisions
87% 70% 70%
Online
CouponsIn Store Ads
SOURCES: EMARKETER, AT KEARNEY, NEILSEN, PWC, STATISTA, BUSINESSWEEK
Fashion Macro View
SALES ONLINE VS. SALES OFFLINE
39%PURE PLAYRETAILERS
37%CLICKS N BRICKSRETAILERS
24%MANUFACTURERSITES
MILLENNIAL CONSUMER BEHAVIOUR- BUYING TREND
17.2% 82.8%
Fashion Macro View
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$54
USED CASE
Changes price
every 10.5 mins.
3.647 Bn USD
Revenue in 2014
+27% increase
in brand value
Opened its smaller outpost stores with specific merchandise assortments which nurture growth
and outperform legacy stores.
SOURCES: EMARKETER, AT KEARNEY, NEILSEN, PWC, STATISTA, BUSINESSWEEK
Millennials’ avg basket spend per trip at fast fashion houses.
Millennial males spend 2x
more on apparel compared
to non millennial males.
Millennial females spend
2x more on fashion
compared to non millennial
females.
Here’s a look at the category composition for Fashion – using our
product (1.7million products across 12,000+ brands)
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Here’s a deeper look at the Apparel category –
using our product
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Let’s take a deep dive into the Ethnic category-
using our product!!!!
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Pricing and discounting trends
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Distribution of Sari’s by Attributes
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WE SERVE CLIENTS GLOBALLY.
IntelligenceNODE is a Big Data analytics lab with operations in
Mumbai, London and Sofia
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