Aucfan's Redherring Asia 100 presentation on 27th, Aug.

1. Redherring Asia 2014 Presentation
Where Big data Meets Online Commerce
Chaos
Overseas
Business
Development
Director
Yuma
Ichiba
Aucfan
Co.,
Ltd.

2. Outline
• About
Us
• Key
Internet
Trends
• Our
vision
• Our
products
• Core
Technology
• Experimental
Appliance
• InternaEonal
AspiraEons
• Product
PorGolio
• Future
Milestones
• Financial
Summary
• Takeaways
• Q&A

3. Who we are: Founded in 2007, aucfan has been growing
very fast, having achieved the IPO in 2013.
Number
of
Datasets(item-­‐based)
Over
20,000,000,000
Number
of
Paying
Subscribers
Over
55,000
Number
of
Unique
Users
Over
10M
Number
of
Media
Coverage
Over
200
Amount
of
Capital
Raised
Over
$6.8M

4. Information has gone from scarce to superabundant
“Every
two
days
now
we
create
as
much
informaEon
as
we
did
from
the
dawn
of
civilizaEon
up
unEl
2003”-­‐
Eric
Schmidt,
Google

5. Winners : Data-driven enterprises. Online commerce: $1T>
potential market remains to be leveraged by data power.
Overview
of
winners,
their
industries,
products
and
services.
Who
to
be
the
new
king
in
the
ever
growing
online
commerce
conEnent?
Industry
Company
Products/
Services
Financial
data
Financial
data
Online
Commerce
・SaaS/Apps
・Equity
Trading
PlaGorm
・MarkeEng
PlaGorm
・RaEng
Services
・ICT
soluEons
・MarkeEng
PlaGorm
・Media
・AnalyEcs
Tools
・Data
PlaGorm
SecuriEes/Stocks
Who
will
conquer
this
new
?
conEnent
at
all?

6. Our vision : we secure dominant position at the heart of online commerce
chaos by leveraging gigantic amount of commodity goods data.
Service/Product
Enterprises Consumers
ApplicaEon
Technology
Master
DB
Inventory
OpEmizaEon
Inventory
Customer
Review
MarkeEng
Insights
Retail
Price
AucEon
Price
Price
Indexes
Asset
Based
Lending
RecommendaEon
Engine
Purchase
Analysis
Data
Warehouse
Product
Search
Engine
Price
PredicEon
Resale
Value
POS
Behavioral
Log

7. Media: Securing dominant recognition in the domestic market.
10M+ monthly UV, applox. 40,000 (paying) subscribers.
POINT１
Aucfan.com allows users to compare such
information as auction information, sale price,
transaction volumes across both domestic and
overseas major online marketplaces.
POINT 2
Aucfan.com is seller-oriented media unlike the most
of buyer side price comparison media. we stand out
as the biggest price comparison media where online
merchants and retailers gain pricing insights.
POINT 3
Aucfan’s marketing intelligence, leveraged by more
than 20 billion datasets(item-based) is delivered to
customers in many ways, SaaS analytics, mobile
apps, smartphone site.
Smartphone Sites
7

8. Component Technology = Building master item DB generated
from +20B datasets(item-based) accumulated over 10Ys
Genre
Source
Output
Applications
Online Retail
data
AucEon
data
Third Party
data
・Online Review
・Behavioral Log
・POS data
Solutions
- Data Consulting
Applications
- SaaS Product
- Apps/Media
APIs
SDKs
Aucfan
Master
Item
DB

9. Experimental applications: will it be possible to predict the
final sale price of iphone 4 across the auction platforms?
700
600
500
400
300
200
100
0
predicEon
price
actual
price
Experimental
DemonstraEon
・Product
informaEon
・Bidders
InformaEon
・Market
Trend
・Exhibitors
informaEon
Price
predicEon
model
PredicEve
price
levels
Input
Output
Applied
Technology
QuesEon:
To
which
amount
will
the
actual
sale
price
of
iphone4
on
a
given
date
converge?

10. Our products constellations satisfy the various needs of
online merchants from buyers to sellers.
sideAucfan Pro
Aucfan Schol Buyer Professional
Beginners
Global aucfan
Mono Cheki
(iOS/Android App)
Seller Side
Data Offering
aucfan.com
aucfan Touch
10
Copyright
©
2013
Aucfan
Co.,Ltd.
All
Rights
Reserved.

11. Asian expansion: We outreach the exponentially growing
markets in Asian region: 2Bmiddle classes, $1TEC market
potential1.
Strategic
Investment
Data
Exchange
Strategic
Alliance
Outsourcing

12. Future Milestones: we will stand out as the only destination
for marketing intelligence in commodity goods trade.
2013
2014
2015
2016
toC
toB
Offline
Retail
Cross
Boarder
Trading
Behavioral
Log(External
Alliance)
Reiew/Behavioral
Log
Master
Item
DB(non-­‐model
number)
Price
PredicEon：PredicEve
Algorithm,
Behavior
Analysis
AucEon
Price
Online
Retail
Price
Master
Item
DB
AucEon
Price
Matching：Natural
Language
Processing
Master
Item
Matching:
Natural
Language
Processing
SoluEon/
ApplicaEon
Data
Source
RD
ConsulEng/Business
SoluEons/ABL
Data
Type

13. Financial Overview = strong +40% in Operating Profit on Sales
Rate…Expected to hit $9M in Revenue in 2014
Hikng
$9M
in
2014

14. Key Takeaways:
Thank you for listening…Summary for our presentation
• The
big
data
is
eaEng
the
world.
Only
the
agile
data
driven
companies
can
survive.
・
We
will
pursue
the
unique
dominant
posiEon
in
the
online
commerce
market,
and
reach
our
hand
over
the
global
market.
Besides
the
online
data
we
have
collected,
we
will
aggregate
offline
data
too,
as
well
as
local
retail
prices
and
online
reviews.
• We
will
aggressively
invest
in
emerging
startups
in
SEA
region
who
leverage
disrupEve
technology
and
bigdata.
Contact:
Yuma
Ichiba
ichiba@aucfan.com