The document discusses emerging technologies that will drive the next e-commerce revolution: big data, personalization using fashion profiles, small data from wearable devices, agile platforms for small retailers, and the semantic web. It provides examples like Dressipi using data to accurately predict best-selling items, Jawbone helping users change behaviors using precise data at the right time, and Tictail giving small retailers powerful e-commerce tools. The implication is that existing industry advantages may be swept away if companies can't make sense of growing data and the semantic web shifts where online information power sits. Retailers are challenged to assess if their current business has a defensible advantage in this changing environment.
7. THE STARTING POINT FOR MASTERING BIG DATA:
MINING ALL YOUR CURRENT DATA SOURCES
GETTING IT IN ONE PLACE
BEING ABLE TO ANALYSE IT
DOING ALL THIS IN REAL TIME
8. PRESENTATION NAME HERE
THE NEXT FRONTIER FOR INNOVATION,
COMPETITION AND PRODUCTIVITY...
RETAILERS USING BIG DATA TO ITS FULL
POTENTIAL COULD INCREASE THEIR
OPERATING MARGIN BY MORE THAN 60%
McKinsey mckinsey.com/insights/business_technology
8
9. 9
Personalisation solution that helps customers quickly 鍖nd the clothes they love
and more importantly the ones theyre going to keep.
Over 1 million women have created Fashion Fingerprints a data driven fashion pro鍖le
that enable Dressipi to make brilliant recommendations to them.
Over 10 million new data points per month which Dressipi use to make
recommendations even better.
11. 11
Knowing whether someone has long legs is useful.
Knowing how they feel about that is vital if youre to avoid showing them mini-skirts
when theyd much rather be wearing trousers.
BODY
SHAPE
STYLE COLOUR SIZES BRANDS
REVEAL
AND
CONCEAL
FEATURES MEASUREMENTS
Ff Bs St Cl Sz Br Rc Ft Ms
12. USING FASHION FINGERPRINT DATA, DRESSIPI WERE
ABLE TO PREDICT THE HIGHEST SELLING AND LOWEST
SELLING NEW SEASON DRESSES WITH 90%
ACCURACY...
12
BEFORE A SINGLE ITEM WENT ON SALE
13. IMPLICATION:
PEOPLE ARE LOYAL TO THINGS WHICH OFFER THEM
UTILITY AND THERE ARE EMERGING PLAYERS WHICH DO
THE UTILITY OF RECOMMENDATION BRILLIANTLY
15. 15
IF YOU CANT GET TO A TOOL
WITHIN TWO SECONDS, YOUR USE OF
IT GOES DOWN EXPONENTIALLY.
Thad Starner, Technical Lead Google Glass
Source: http://www.wired.com/gadgetlab/2013/12/wearable-computers/2/
17. 2013: 22 MILLION WEARABLE CONNECTED DEVICES
2018: 177 MILLION WEARABLE CONNECTED DEVICES
Source: Cisco / http://www.cnbc.com/id/101392725
18. IMPLICATION:
WHILE MANY OF US ARE STILL STRUGGLING TO MAKE
SENSE OF OUR EXISTING DATA, THE AMOUNT AND
TYPE OF DATA AVAILABLE IS ABOUT TO UNDERGO
RADICAL CHANGE
19. 19
THE DIFFERENTIATOR
IN THE MARKET, IS
GOING TO BE THE
ABILITY OF
COMPANIES TO MAKE
SENSE OF THE DATA,
TO PUT IT IN CONTEXT,
AND THEN TO HELP
THEIR USERS
ACTUALLY ACT ON IT,
AND CHANGE THEIR
BEHAVIOUR..
Andrew Rosenthal, Health Lead Jawbone
20. 20
DATA SHOWED THANKSGIVING WAS THE WORST DAY OF
THE YEAR FOR TAKING EXERCISE.
TEST GROUP ASKED TO COMMIT TO BEING MORE ACTIVE.
24% TOOK THE PLEDGE, AND TOOK AN AVERAGE OF 1,400
MORE STEPS THAT DAY.
Source: http://www.slashgear.com/jawbone-talks-context-in-bid-to-rule-wearables-slashgear-interview-06319626/
21. "WHAT'S EXCITING ABOUT THIS IS THAT IT'S EVIDENCE OF
THE ABILITY TO USE PRECISE DATA, TO THE RIGHT PERSON
AT THE RIGHT TIME, TO GET THEM TO CHANGE THEIR
BEHAVIOUR IN A MEANINGFUL WAY."
Andrew Rosenthal, Jawbone
29. YOUR OWN PERSONAL E-COMMERCE COACH:
AFTER ONE YEAR OF THE TICTAIL FEED IT WAS
GENERATING 137,000 PROMPTS EVERY MONTH,
WITH A 71% COMPLETION RATE,
DRIVING A 500% INCREASE IN TURNOVER.
Source: Tictail
32. 32
THE SEMANTIC WEB
We throw huge technical resources at trying to work out what things are,
and what they mean.
The semantic web is a vision of the internet where we can 鍖nd, share and combine
information much more easily.
Its been called the Giant Global Graph by Tim Berners-Lee...
THE SEMANTIC WEB IS A
VISION OF AN INTERNET
WHERE WE CAN FIND,
SHARE AND UNDERSTAND
INFORMATION MUCH
MORE EASILY.
THE GIANT GLOBAL GRAPH
Tim Berners-Lee
43. WEVE GOT DATA ON
EXISTING CUSTOMER BASE
WEVE GOT A HUGE
AMOUNT OF DATA
WEVE GOT A SOLID
TECHNICAL PLATFORM
WERE REALLY GOOD
AT SEARCH
Customers are loyal to
those who understand and
serve them best
Even if youre using your
existing data, the frontier of
data collection is changing
The arrival of the Sematic Web
could totally rewrite where
power sits in the online world
Anyone new is likely to get
a better platform than yours
at a fraction of the cost
44. THE TECHNOLOGIES FOR THE
NEXT E-COMMERCE REVOLUTION
ARE ALREADY HERE.
ARE YOU READY?