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Transforming the Mobility Industry
–the Story of Didi
Frank Pang
Vice President of Didi Chuxing Co,.ltd
July 2017
2
Table of Contents
1.
2
Evolution of
Ridesharing
Industry
2.
7
Company
Highlights
3.
15
Strategies
Smartphone
Ridesharing
3
Ridesharing Will Create the Next Technology Giant
×10
Present
Past
Smartphone
$340 bn
Ridesharing
Evolution of ridesharing propelled by maturity
of GPS/HD Mapping/4G LTE technology
Future
PC
$210 bn
PC
Connecting Information Connecting the Physical World
Creating Value for Consumers and Communities
4
Driver-
dependent
Low utilization
(less than 5%)
Private
ownership
Autonomous
cars
High utilization
Present: Transportation 1.0 Future: Transportation 2.0
Key
Features
Shared
rides
Car as an asset
Mobility-as-a
-Service (MaaS)
Impact on
Consumers
and Cities
Congestion
and pollution
Convert parking
space to commercial
districts/parks
Large spaces
used for parking
Higher utilization
→ Fewer cars
Lower cost driven
by MaaS
High cost of
ownership
$7 → $3
Ridesharing Solves the Supply and Demand Conundrum
5
全职司机
# of rides
Traditional model does not solve the
imbalance in supply and demand
Ridesharing is the only solution to
balance market supply and demand
Demand Prediction
Intelligent Dispatch
Dynamic Pricing
兼职司机
User fulfillment rate
Driver income/hour
# of rides
Peak Hours -
Undersupply
Low fulfillment
rate
Non-Peak Hours
- Oversupply
Low driver
income/hour
# of rides
由滴滴其他服务满足
全职司机
兼职司机
Fulfilled by other
Didi services
Supply
Demand
Full-time drivers
Part-time drivers
Supply
Demand
Supply
Demand
6
Table of Contents
1.
2
Evolution of
Ridesharing
Industry
2.
7
Company
Highlights
3.
15
Strategies
|Didi has become the world’s leading mobile transportation platform.
June 2012
Birth of Didi
March 2014
100m Users
Feb 2015
Merge of Didi &Kuaidi
Sep 2015
Rename as Didi
Chuxing
March 2016
10m Daily Rides
Dec 2015
Cover 400+Cities
June 2016
15m Daily Rides
Aug 2016
Acquire Uber China
Didi – Over The Past Five Years
June 2016
20m Daily
Rides
Didi – The World's Largest One-Stop Transportation Platform
8
Note: # of daily rides above as of Nov 2016. Uber China is included in private car business
Private Car Daily Rides
13mn
Hitch
Daily Rides
2mn
TaxiRegistered Drivers
1.7mn
Enterprise SolutionsEnterprise Accounts
60,000
Chauffeur
160k
Daily Rides
Test Drive
Registered Users
500k
>20 million daily completed rides
400+ cities
Registered
Users400mn
2
AI / Machine
Learning
Big Data
World's Largest Technology-driven Transportation Platform
9
Cloud
Computing
70TB location tracking
data per day
Highly reliable: 24/7
stable operation
Advanced infrastructure:
100,000+ servers in 2 years
20+mn peak requests
per day
4500TB data
processed per day
85% accuracy of
15mins demand
prediction
Dynamic pricing
Precise ETA
prediction with
deviation of <15%
World-class technology
team with top R&D and
data analytics capabilities
Intelligent incentives:
4x higher efficiencyTracking
3
1.8
1.4
Dynamic demand
forecast for the next
15 mins,directing
drivers to denser
demand areas
Optimal route planning and
accurate ETA prediction based
on real-time traffic
Dynamic pricing
optimizes supply-
demand equilibrium
through sophisticated
algorithms
Cutting-edge Technology: Intelligent Dispatch
10
Route
Planning
1.0
1.5
1.8
2.0
1.2
1.6
4
Better pooling experience and higher fulfillment rate
User
Experience
Fulfillment Rate
Basic
Pooling
Multi-Hop Pooling
Virtual Stations
Multi-
Passenger
Pooling
Cutting-edge Technology: Pooling
11
70% pooling
fulfillment rate
20% lower ASP
4
Cutting-edge Technology: Safety
12
Leveraging big data and AI to enhance
security for both drivers and passengers
Trip
sharing
ID
verification
Emergency
assistance
Privacy
protection
Facial and voice
recognition
Existing Safety functions: Other initiatives
to be launched:
Proprietary driver
assistance, real-time
driver behavior
monitoring, and
danger warnings
Advanced Driver
Assistance Systems
(ADAS)
68
Safety Score
Acceleration
Night Driving
Swerving
Braking Time
Overtime
Driving
Speed
4
13
Table of Contents
1.
2
Evolution of
Ridesharing
Industry
2.
7
Company
Highlights
3.
15
Strategies
Taxi-only
user
Private Car-
only user
Hitch-only
user
Bus-only
user
Multiproduct
user
Months
%
Continue to Drive Growth and Enhance User Experience
14
Continue penetration into 3rd/4th-tier cities
Private Car MAU from 3rd/4th-tier cities
1
Encourage better driver service through preferential
dispatch and intelligent incentives
Driver score trends over time
Increase engagement by adding more
usage scenarios
Increase user LTV through cross-selling of products
Private car rides per month by cohort
Growth Initiatives User Experience
higher user value
Lifetime spending per user
[90,100][80,90)[70,80)[50,70)[0,50)
2015/10/1 2015/12/1 2016/2/1 2016/4/1 2016/6/1 2016/8/1 2016/10/1 2016/8/1 2016/10/1
Oct, 2015 Oct, 2016
Aug-16 Sep-16 Oct-16 Nov-16 Dec-16
0 2 4 6 8 10 12 14 16 18 20 22 24 26
Build a Smart Transportation Ecosystem to Capture Future
Opportunities
15
Minibus
Private Car ChauffeurHitch
Taxi Bicycle Car Rental
Fleet
Management
After-market
Services
Used Car Sales
Smart City
Auto Value
Chain
AI/
Big Data
Cloud
2
Mobility-
as-a-Service
Taxi
Private Car
Auto Finance
Global Expansion through Alliances with Regional Partners
16
Global Ridesharing Footprint
Uber
99/Easy/Cabify
Ola
Careem
Mytaxi
Line
Grab
Yandex Taxi
Kakao Taxi
Bitaksi
N/A
Didi Chuxing
1
Invested by Didi
3
11.50 didi transforming-mobility_final

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11.50 didi transforming-mobility_final

  • 1. Transforming the Mobility Industry –the Story of Didi Frank Pang Vice President of Didi Chuxing Co,.ltd July 2017
  • 2. 2 Table of Contents 1. 2 Evolution of Ridesharing Industry 2. 7 Company Highlights 3. 15 Strategies
  • 3. Smartphone Ridesharing 3 Ridesharing Will Create the Next Technology Giant ×10 Present Past Smartphone $340 bn Ridesharing Evolution of ridesharing propelled by maturity of GPS/HD Mapping/4G LTE technology Future PC $210 bn PC Connecting Information Connecting the Physical World
  • 4. Creating Value for Consumers and Communities 4 Driver- dependent Low utilization (less than 5%) Private ownership Autonomous cars High utilization Present: Transportation 1.0 Future: Transportation 2.0 Key Features Shared rides Car as an asset Mobility-as-a -Service (MaaS) Impact on Consumers and Cities Congestion and pollution Convert parking space to commercial districts/parks Large spaces used for parking Higher utilization → Fewer cars Lower cost driven by MaaS High cost of ownership $7 → $3
  • 5. Ridesharing Solves the Supply and Demand Conundrum 5 全职司机 # of rides Traditional model does not solve the imbalance in supply and demand Ridesharing is the only solution to balance market supply and demand Demand Prediction Intelligent Dispatch Dynamic Pricing 兼职司机 User fulfillment rate Driver income/hour # of rides Peak Hours - Undersupply Low fulfillment rate Non-Peak Hours - Oversupply Low driver income/hour # of rides 由滴滴其他服务满足 全职司机 兼职司机 Fulfilled by other Didi services Supply Demand Full-time drivers Part-time drivers Supply Demand Supply Demand
  • 6. 6 Table of Contents 1. 2 Evolution of Ridesharing Industry 2. 7 Company Highlights 3. 15 Strategies
  • 7. |Didi has become the world’s leading mobile transportation platform. June 2012 Birth of Didi March 2014 100m Users Feb 2015 Merge of Didi &Kuaidi Sep 2015 Rename as Didi Chuxing March 2016 10m Daily Rides Dec 2015 Cover 400+Cities June 2016 15m Daily Rides Aug 2016 Acquire Uber China Didi – Over The Past Five Years June 2016 20m Daily Rides
  • 8. Didi – The World's Largest One-Stop Transportation Platform 8 Note: # of daily rides above as of Nov 2016. Uber China is included in private car business Private Car Daily Rides 13mn Hitch Daily Rides 2mn TaxiRegistered Drivers 1.7mn Enterprise SolutionsEnterprise Accounts 60,000 Chauffeur 160k Daily Rides Test Drive Registered Users 500k >20 million daily completed rides 400+ cities Registered Users400mn 2
  • 9. AI / Machine Learning Big Data World's Largest Technology-driven Transportation Platform 9 Cloud Computing 70TB location tracking data per day Highly reliable: 24/7 stable operation Advanced infrastructure: 100,000+ servers in 2 years 20+mn peak requests per day 4500TB data processed per day 85% accuracy of 15mins demand prediction Dynamic pricing Precise ETA prediction with deviation of <15% World-class technology team with top R&D and data analytics capabilities Intelligent incentives: 4x higher efficiencyTracking 3
  • 10. 1.8 1.4 Dynamic demand forecast for the next 15 mins,directing drivers to denser demand areas Optimal route planning and accurate ETA prediction based on real-time traffic Dynamic pricing optimizes supply- demand equilibrium through sophisticated algorithms Cutting-edge Technology: Intelligent Dispatch 10 Route Planning 1.0 1.5 1.8 2.0 1.2 1.6 4
  • 11. Better pooling experience and higher fulfillment rate User Experience Fulfillment Rate Basic Pooling Multi-Hop Pooling Virtual Stations Multi- Passenger Pooling Cutting-edge Technology: Pooling 11 70% pooling fulfillment rate 20% lower ASP 4
  • 12. Cutting-edge Technology: Safety 12 Leveraging big data and AI to enhance security for both drivers and passengers Trip sharing ID verification Emergency assistance Privacy protection Facial and voice recognition Existing Safety functions: Other initiatives to be launched: Proprietary driver assistance, real-time driver behavior monitoring, and danger warnings Advanced Driver Assistance Systems (ADAS) 68 Safety Score Acceleration Night Driving Swerving Braking Time Overtime Driving Speed 4
  • 13. 13 Table of Contents 1. 2 Evolution of Ridesharing Industry 2. 7 Company Highlights 3. 15 Strategies
  • 14. Taxi-only user Private Car- only user Hitch-only user Bus-only user Multiproduct user Months % Continue to Drive Growth and Enhance User Experience 14 Continue penetration into 3rd/4th-tier cities Private Car MAU from 3rd/4th-tier cities 1 Encourage better driver service through preferential dispatch and intelligent incentives Driver score trends over time Increase engagement by adding more usage scenarios Increase user LTV through cross-selling of products Private car rides per month by cohort Growth Initiatives User Experience higher user value Lifetime spending per user [90,100][80,90)[70,80)[50,70)[0,50) 2015/10/1 2015/12/1 2016/2/1 2016/4/1 2016/6/1 2016/8/1 2016/10/1 2016/8/1 2016/10/1 Oct, 2015 Oct, 2016 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 0 2 4 6 8 10 12 14 16 18 20 22 24 26
  • 15. Build a Smart Transportation Ecosystem to Capture Future Opportunities 15 Minibus Private Car ChauffeurHitch Taxi Bicycle Car Rental Fleet Management After-market Services Used Car Sales Smart City Auto Value Chain AI/ Big Data Cloud 2 Mobility- as-a-Service Taxi Private Car Auto Finance
  • 16. Global Expansion through Alliances with Regional Partners 16 Global Ridesharing Footprint Uber 99/Easy/Cabify Ola Careem Mytaxi Line Grab Yandex Taxi Kakao Taxi Bitaksi N/A Didi Chuxing 1 Invested by Didi 3