The document discusses online taxi and auto aggregator services in India. It provides an overview of the industry, including key players like Ola and Uber. It describes the business models of aggregators and how they partner with taxi and auto owners. It also analyzes the growth drivers and market size of the organized and unorganized taxi market in India. The document further discusses the technology, customers, suppliers and value propositions of app-based taxi services. It analyzes the strengths, weaknesses, opportunities and threats faced by aggregators and compares Ola and Uber on various parameters. Finally, it outlines some of the challenges faced by aggregators and proposes solutions and a way forward.

1. Online Taxi/AutoAggregator
For Vehicle Finance co’s

2. Mobile App for Auto booking
View all available auto close to customer Select the auto and call the driver

3. Mobile App for Auto booking
View live travelling on google map Bill will be generated online

4. Mobile App for Auto booking
Distance and travel time will be on screen Option to pay through e wallet

5. Industry Analysis
Taxi Market $9
Billion
Organized
Market
$0.5 Billion
Owners
$1.5 to 2 million
Easycabs Meru
Aff liators
$1 million
Savaari Taxi Guide.in
Aggregators
$2.5 million
OLA Uber
Unorganized
Market
$ 8.5 Billion
GrowthYoY
Taxi industry : 15-20%
Aggregators: 30-40%
Drivers of growth
• Price
competitiveness
• Customer
convenience
• Entry of multiple
player
• Investment
backup

6. Introduction
S.N. Parameters
1 Name OLA, UBER and Taxi for Sure(aggregator)
5 Business model partners with Taxi, auto owners, provides modern technologyand
processes for booking, dispatch etc. without holding anyinventory
6 Revenue Model Runs on a pay-for-performance model. Charges a commission in whatever
sales they make.
7 Service Provided Commercial Vehicles financed
Hassle-free, reliable and technology-efficient: Car rental,Auto rental,
8 No. of Taxis Commercial Vehicles financed by NBFC
9 Technology Website, Mobile Application,Analytics, Servers etc.
10 Operationalin 100 cities, Plans to expand in 200 cities by the end of2015
11 Financial evaluation 500 crore

7. Introduction
cabsTechnology
GPS, Smartphoneapps,
Heat map,servers
Suppliers
Taxidrivers
Customers
Upper middle class, Business
class, Techsavvy
One tapto
ride
Reliable
pickup
Ride
feedback
Cashless
Flexibility
todrive
Time
advantage
Higher
income
Various
benefits
Valueproposition
Passengers
Drivers

8. Appbased
Taxi
service
Information:
Consultation:
Ordertaking
Hospitality:
Safekeeping:
Exceptions
Billing:
Payment:
Configuration of Service
Website, Blogs, Mobile App, text messages
Customized offer
using Analytics,
History of travel
Cab booking
through
online, app,
callcentre
Driver’s
behavior
Safety button on app, safekeeping of belongings
Clear rates
fordifferent
category of
car
mobile wallet,
Credit, debit card,
cash,
Helpline, blogs, social
media help forexception
handling

9. Ps
Product
Price
Place
Products:
Taxi services,
AutoServices
Challenges:
Femalepassengers
security,
Differentiation
Solution:
Female onlycab,
Panic button,
Electriccar
Solution:
Competitive pricing,
consolidation,
economies of scale
Challenges:
Price warbetween
different players
Place:
MobileApp,
call Centre, web,
Challenges:
Different Interfaces,
Technology
dependency
Solution:
Investment in
technology
Price

10. Ps
Process
Promotions:
Promo codes byreferral,
Various discounts, Blogs,
Rating optimization inapp
Promotion stores, digital media
promotions, word of mouth
Challenges:
Customerresponse
against existing
promotions
Solution:
Analytical
approach
Process:
AppBased
booking,
Reporting time,
Payment Refund
Challenges:
Technical Glitches,
People non-
compliance
Solution:
Training,
Investment in
technology

11. Ps
People
Physical. E.
People:
Taxi drivers,
Call centerstaff
Challenges:
Security,
Inappropriate
behavior,
Solution:
Stringent
Background
check,audits,
Training
Physical Evidence/
environment:
Condition of thecar,
Inside the taxi
environment
Challenges:
unhygieniccondition,
Bad condition of the
car
Solution:
Audits, Trainings,
incentives

12. SWOT
• Rising competition
• Cab operator deeppocket
• Gettingovercrowded
• Absence of cleargovernment
regulations
• Huge unorganizedmarket
• Increasing internet penetration &
smart phoneusers
• Rising disposableincome
• Shifting of consumers towards
convenience
• Acquisition of smallerplayers
• Misbehaviorof the driversaffects
the brand image
• Hugedemand leads tocash
burning
• First moveradvantage
• Loyalty of thedrivers
• Huge supplyside
• Hugecustomerbase & network effect
• Rapid expansion andonline
application
• Strong backup by VCinvestments
Strength Weakness
ThreatOpportuni
ty

13. Technology
• Heat Mapping technologies to assessdemands
• God View- Real time aerial view of the movement of thecar
• DataAnalytics : how many times app is opened
• Dynamic pricealgorithm
• Webservers
• GPS technology
• Various Softwares

14. Rivals
Direct
• App Based taxiservices:
• Radio Taxiservices
• Unorganized taxi
services
• Car leaseservices
Indirect
• Public transport
• Self owned vehicle by
consumer
• Car-pooling
Unorthodox
• Traffic on theroad
• Technology
• Driverless, Computer
assistedcar
• Advancement of
communication
technology
Raises Alarmfor:
 Unorganized Taxi services
 Unorganized Auto services
 Automobile manufacturer

15. Comparative Analysis
S. No. Parameter Olacab Ubercab
1 Valuation $ 3.5 billion $ 50 billion
2 History 2010 2007
3 Presence 100+ cities in India, No planto
gooverseas
300+ cities and 60 countries, 11cities
in India
4 Investors Softbank, tiger global Google, Goldman sachs
5 Supply 1.5 lakh 50K
6 Price Min. 100 to 200, Rs. 8 to 20 Km
Taxi for sure is being pitched for
lowerprices
Min Rs. 60 to 125, 7/ km to 12/km
7 Promotion App based, word of mouth,
internet
App based, word of mouth, internet
8 Mode of booking 95 to 99% throughapp Apponly
9 No. of rides/ day Approx. 6 lakhs 2.5 lakhs
10. Acquisition Taxi for sure
$200 million
Meru

16. Challenges
S. N. Challenges Solution/ proposed solution
1 Technology (Location tracking) More investment in technology
2 Data usage of drivers, Batterylife
of handset
Technology, incentives,
3 Ride later: Process Training, loyalty, incentives
4 Background checking of drivers,
non-regulated drivers
Strict verification processes, Zerotolerance
5 Data privacy of customers:
history of travel, otherpersonal
information
Strengthening of personal data security
6 Tough Competition Economy of scale, Diversification,
consolidation
7 Pressure from investors Creation of customer base, loyaltyprograms
8 Law-compliance: using mobile
while driving
Training, Technology
9 Fuel compliance Offering heavy discount to registered car
owners to go for CNG, collaborating withcar
manufacturer, banks

17. Way forward
Training, Incentive, offers and facilities to drivers
Datasecurity
Car leasing, Bus aggregations
Newservices
Delivery of e-commercegoods
Venture into e-commercearena
Consolidation with mergerof of other finance co.’s
CRM programs
Corporate segments

18. Thank you