Contenu connexe Similaire à The Coming Fourth Digital Revolution In The Travel Ecosystem (20) The Coming Fourth Digital Revolution In The Travel Ecosystem1. Research & Innovation
API & Platform
Business Strategy & Digital Transformation
New Usages, Connected Business & Mobility
Copyright © William El Kaim 2015
The End Of Travel As We Knew It
Disruption Of The Travel Ecosystem
William El Kaim – March 2015
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2. Copyright © William El Kaim 2015
Plan
• The 4th Revolution In Travel Industry: Travel As A Service And Mobility
• Interactive Proactive Multimodal Intermodal Assistant
• The Power of Big Data
• Pervasiveness Through Unbundling and Deep Linking
• Disruptions: End of Intermediaries?
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3. Copyright © William El Kaim 2015
The 4th Revolution In Travel Industry:
Travel As A Service And Mobility
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6. Copyright © William El Kaim 2015
The 4th Revolution – Mobility as a Service
SOLOMO*
Sharing, User
Generated Content,
Direct Booking
Pervasive access and usage of information pushed to people and connected
objects: Open Data, Big Data, User Generated content, multimodal planner, etc.
Mobility information natively supported in Calendar app, Operating System, voice
activated virtual assistant, TV.
Travel booking is now commoditized and offered by Retail and eCommerce online
shops
Local and domestic transportation offer challenged in real time by customers and
usage
New business models are emerging for renting vs. sharing vs. owning, impacting the
transportation industry as a whole.
GDS
Birth of Travel
Agency
Internet
Birth of Internet
Travel Agencies and
Corporate Travel
Mobility
Smart city, Live Door
To Door Multimodal
Journey
* SOLOMO means Social, Local, Mobile
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7. Copyright © William El Kaim 2015
Re-programming Mobility … and Travel
• Travel industry = 9,2% of global GDP
• Half is terrestrial, half is digital …
• Technology operates on 2 axis: making things and moving things
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8. Copyright © William El Kaim 2015
Re-programming: Software is Eating the World
• Value from bits (information content) grows faster
than the value from atoms (the physical product or
human-delivered service)
• Digital capabilities increasingly will determine which
companies create or lose value.
• The “plug and play” nature of digital assets causes
value chains to disaggregate, creating openings for
focused, fast-moving competitors.
• New market entrants often scale up rapidly at lower
cost than legacy players can, and returns may grow
rapidly as more customers join the network.
Source: McKinsey Quarterly and PWC
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9. Copyright © William El Kaim 2015
API and Open Source Everywhere
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https://developer.uber.com/
https://sudo.hailoapp.com/
10. Copyright © William El Kaim 2015
Mobility Aggregator: Capitaine Train
• Capitaine Train sells train tickets to
European destinations from SNCF,
Deutsche Bahn, Eurostar, Thalys and
more.
• It works on mobile, with an emphasis
on delivering great customer support.
• Does not own any train!
https://www.capitainetrain.com/ 10
11. Copyright © William El Kaim 2015
Tempo: Interactive Notifications
• Interactive Notifications are available to
those on iOS8, and bring you
contextual alerts so you don’t need to
dig for information — it’s all brought to
you.
• Get maps, directions and estimated drive
times.
• Send “running late” texts or emails to meeting
attendees.
• Dial-in to a conference call.
• Check flight status, terminal and gate
information.
• Find and order Uber rides to your next
meeting, intelligently auto filling destinations
based on data from your calendars.
• Discover the weather forecast based on
location.
http://www.tempo.ai/ 11
12. Copyright © William El Kaim 2015
Calendar42: Mobility Attached to Agenda
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http://site.calendar42.com/
14. Copyright © William El Kaim 2015
Using Hackatons To Reinvent Mobility
• 2 months to build a
connected mobility app
using API from one
Bank, connected car
startup Xee, Salesforce
and mobility providers
(Uber, ZenPark).
http://mobilebankingfactory2.bemyapp.com/ 14
15. Copyright © William El Kaim 2015
Re-programming Mobility
• In lieu of large civil infrastructure projects, transportation systems are increasingly being
augmented with a range of information technologies that make them smarter, safer,
more efficient, more integrated.
• Transformation is now being driven by the private sector.
• Companies are investing in infrastructure for mobility on a similar scale, but using very different
technology.
• All but invisible to planners and citizens alike, new communications network are
becoming the most important transportation infrastructure of our era, enabling us to re-
invent the how our roads, transit systems, and freight and logistics networks function.
• The hidden nature of these new mobility infrastructures – tiny devices in our pockets
communicating over invisible radio waves with algorithms running on servers in the
cloud – has conspired to conceal the important public policy and planning issues that
their mass adoption raises.
Source: RE-PROGRAMMING MOBILITY, The Digital Transformation of Transportation in the United States, Dr. Anthony Townsend, Senior
Research Scientist; Rudin Center for Transportation Policy & Management
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Re-programming Mobility
• A large portion of 2020 revenues are likely to come from products and
services that don’t even exist today
• Advances in technology without a change in business model nor traction are
mere productivity gains from the multitude’s standpoint, and are
commoditized in the blink of an eye, preventing the company from
differentiating itself.
Source: Frost and Sullivan
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17. Copyright © William El Kaim 2015
4th Digital Revolution: Pulled by Unicorns
• “The Unicorns”, the billion-dollar tech startup
was supposed to be the stuff of myth said
Forbes. Now they seem to be …
everywhere.
• AirBnb, GrabTaxi, SpaceX, Lyft, Uber, to name a
few, are already conquering the world.
• E-Commerce companies are also entering
the travel and transport market
• Amazon and eBay selling hotels, or Alibaba
launching AliTrip
• Giants in Asia are also selling Travel, with a mobile
vision
• Qunar
• Didi Dache taxi hailing service via the WeChat app
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IPITA Vision
• Integrated proactive intermodal travel assistant (IPITA) creates an integrated
tool for selecting, booking and navigating different modes of travel customized
to individual needs, using real-time information and advanced technology.
• Easy to steer, it uses smart devices or other interfaces such as data glasses
or contact lenses as displays.
• Any changes or disruptions, such as congestion or weather problems, are
directly detected, and alternative modes of travel or rerouting are suggested
in real time.
• All of this is provided by one interface that can also purchase a ticket for all
the transportation required.
Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 20
21. Copyright © William El Kaim 2015
Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 21
22. Copyright © William El Kaim 2015
IPITA: Not Existing Yet
Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 22
25. Copyright © William El Kaim 2015
Mobility Ecosystem requires Big Data
• The shift from a world of static reporting (aggregated data on cubes) to a
world of predictive and intelligence services (generated value from data in
multiple ways) is Now!
• Rise of predictive information through cards
• Leveraging both data at rest (stored in a database) and data in motion (data
stream in real time) is the new normal.e
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The Power of Big Data
Historical Data
Big Data: Data Mining,
Reporting, and
Benchmarking,
Forecasting
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27. Copyright © William El Kaim 2015
Google Flight Explorer
https://www.google.com/flights/explorer/ 27
28. Copyright © William El Kaim 2015
SkyScanner Traveler Insight
28http://business.skyscanner.net/portal/en-GB/Analytics
29. Copyright © William El Kaim 2015
NYC Taxi Data Visualization
http://googlemapsmania.blogspot.co.uk/2014/11/mapping-new-york-taxi- 29
32. Copyright © William El Kaim 2015
The Power of Big Data
Live Data
Live Dashboards and
Tracking systems like Pre
and Post Ticketing, Early
compliance and fare
check.
Historical Data
Big Data: Data Mining,
Reporting, and
Benchmarking,
Forecasting
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36. Copyright © William El Kaim 2015
Airports Misery Map
http://fr.flightaware.com/miserymap/ 36
37. Copyright © William El Kaim 2015
Train Misery Map by CrowdSourcing
http://www.raildar.fr/
If you do not open your data,
the crowd will do it for you!
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38. Copyright © William El Kaim 2015
Train Maps by SNCF
http://www.sncf.com/fr/geolocalisation 38
39. Copyright © William El Kaim 2015
The Power of Big Data
Forecast Data
Ad-hoc advanced analytics or
for pro-active information
generation through
information cards (like Google
Now!)
Live Data
Live Dashboards and
Tracking systems like Pre
and Post Ticketing, Early
compliance and fare
check.
Historical Data
Big Data: Data Mining,
Reporting, and
Benchmarking,
Forecasting
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40. Copyright © William El Kaim 2015
Qucit: Forecast Urban Mobility
http://www.qucit.com/#top 40
43. Copyright © William El Kaim 2015
Urban Engines : CrowdSourcing or Tracking?
• Without embedding any sensors in the subway or video cameras watching
the platforms, Urban Engines can tell:
• things like how long commuters were waiting, how many trains went by that were so full
commuters couldn’t get on and what the volume of each train car was throughout the day.
• It only needs the data from when the commuter enters and exits the station,
and by knowing the aggregate of all the commuter data at the same time, it
can infer how the system is operating.
• Essentially, Urban Engines is taking the smallest and cleanest amount of data
possible to map out the entire public transportation network.
• Could be used also inside airports or in any place where mobility could be
tracked
• https://www.urbanengines.com/
Source: Gigaom 43
48. Copyright © William El Kaim 2015
MultiModal and Time Series - iGeolise
http://www.igeolise.com/ 48
50. Copyright © William El Kaim 2015
Xerox Mobility Analytics Platform
• Xerox’s new Mobility
Analytics Platform (MAP)
provides a new city-wide
picture of transportation
operations including,
adherence to schedules,
passenger-loading levels
and car park utilization
rates.
• The world’s leading
provider of parking spaces,
VINCI Park is testing MAP
in Neuilly, France
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51. Copyright © William El Kaim 2015
Sabre MarketPlace Analytics
• Offers airlines visibility
into shopping activity
for their routes,
including how well they
are converting travel
demand into bookings.
• Analytical dashboards
and heat maps used to
visualize shopping
activity for travel up to
a year in the future and
as far back as 120
days in the past
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56. Copyright © William El Kaim 2015
SIRIUS
• SIRIUS open source
initiative
• Provide an end-to-end
standalone speech and
vision based intelligent
personal assistant (IPA)
• Similar to Apple’s Siri,
Google’s Google Now,
Microsoft’s Cortana, and
Amazon’s Echo.
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57. Copyright © William El Kaim 2015
Xerox New Virtual Agent
• Xerox has developed an intelligent, virtual
customer care agent that is capable of
understanding and solving customer queries
in the same way a human agent would.
• The WDS Virtual Agent is based on artificial
intelligence research developed by PARC
and the Xerox Research Centre Europe
(XRCE) and is capable of learning from its
human colleagues.
• The AI software listens to human agents
diagnose and solve customer issues and
then develops the intelligence required to
answer customer queries itself, without
having to be programmed.
http://www.wds.co/product/self-care/virtual-agent/
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58. Copyright © William El Kaim 2015
3rd Generation Mobile App is There
• First generation: ‘information appliance’ model.
• Using software, you transformed your phone into a mostly mono-purpose device just like
it said on the tin. Now it’s a phone. Now it’s a calculator. Now it’s a messaging tool.
• Second generation: the ‘home screen’ era
• Every app fought hard to be your home base.
• The prevailing wisdom was that you had to cram everything your service offered into
mobile, using a form of design-driven gavage to stuff your app until it was positively
groaning with tabs and gutters and drawers.
• 3rd Generation: Apps As Service Layers
• Apps you have on your phone but only open when you know they explicitly have
something to say to you
• They’re purpose built and informed by contextual signals like hardware sensors, location,
history of use and predictive computation.
Source: TechCrunch 58
59. Copyright © William El Kaim 2015
The Age Of Apps As Service Layers
• These ‘invisible apps’ are less about the way they look or how many features
they cram in and more about maximizing their usefulness to you without
monopolizing your attention.
• A confluence of factors have made these kinds of context-aware apps
possible at this point in time.
• Increasing power efficiency in physical memory and device processors has led to better
battery life.
• As iOS and Windows Phone and Android get more sophisticated and more contextually
aware, they’re providing the tools needed by developers to not only collate and act on
these signals, but also to present them to a user with speed and care.
• And services like Foursquare or Waze have reached a critical mass of data and users that
have enabled it to develop systems for accurately telling whether you’re walking by a
restaurant or actually walking in the doors.
Source: TechCrunch 59
62. Copyright © William El Kaim 2015
Hailo New Google Now Card
• Hailo has teamed up with Google to introduce a
Now card that will help make the commute a
little bit easier for its customers.
• Instead of poking around in apps and web
pages to find what you need, Now cards in the
Google app can give you the right information at
exactly the right time.
• For people who have opted in to Google Now
and have downloaded the Hailo app, the Hailo
Now card will send an alert to anyone who has
booked a journey from outer London zones in to
Central London between 7-10am in the morning
an offer of a cab home if the passenger is still in
the same London location after 5pm.
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https://blog.hailoapp.com/2015/02/02/hailo-google-now/
63. Copyright © William El Kaim 2015
Mobile App Linking
http://applinks.org/
Apple shows off iOS app extensibility at WWDC
2014.
Extensibility opens the door for developers to hand
off data between apps and work with content
between apps.
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64. Copyright © William El Kaim 2015
Scout: Mobile Taxi Aggregator in India
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Check real time
availability of cabs
across multiple
service providers in
one single app.
Once you have
selected your nearest
cab, the app will lead
you to the relevant
service providers app
to complete the
booking
http://scootapp.com/
67. Copyright © William El Kaim 2015
From AdWords to AppWords
• New technology that lets mobile
apps reach outside of their
respective walled gardens so that
users can search and navigate
between specific places within them.
• Israel’s Deeplink.me
launched AppWords, a mobile
search and ad platform that uses
keywords to trigger relevant content
between one app and another.
• Installed Apps will bid for displaying
the ads and link to them.
• Several Taxi Apps can bid for an ad on
an Itinerary
67http://deeplink.me/appwords
69. Copyright © William El Kaim 2015
Ride New Carpooling Commuting Service
69https://www.ride.com/
70. Copyright © William El Kaim 2015
Travelstart Use Yo!
https://index.justyo.co/a/TRAVELSTART 70
74. Copyright © William El Kaim 2015
Uber Quicker Than Taxi
• In a few short years, ride-sharing
companies have dominated their taxi
competitors. In San Francisco alone,
Uber reportedly earnsmore than three
times the entire taxi market ($500 million
vs. $140 million).
• The longer Uber exists in a city, the less
patient consumers become. Uber is
making consumers impatient!
• Uber alerts drivers to a potential surge in
users, they hop on the road and are back
home in a few hours.
• Big data and predictions are key!
74Source: The Week
76. Copyright © William El Kaim 2015
HRG Splits Operations – Launch Fraedom
http://www.fraedom.com/ 76
80. Copyright © William El Kaim 2015 http://www.bridj.com/#new-page
No Mobility Zone Now Covered
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Source: TheFamily
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Uber, Leap Transit, and Bridj have
made mass transit agencies realize that
their captive ridership could actually be
threatened over time.
86. Copyright © William El Kaim 2015
Evolutions of Ecosystem
Traveler
Travel agency
GDS
Airlines, Train,
Hotel
Traveler
GDS
Airlines, Train, Hotel
MetaSearch
Aggregators
Travel agency
Online Travel
agency
Direct Booking
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87. Copyright © William El Kaim 2015
Conquering the Last Mile
Traveler
Door-to-door
GDS
Airlines, Train, Hotel
MetaSearch
Aggregators
Travel agency
Online Travel
agency
Direct Booking
Taxi, VTC, Bikes, car
sharing, restaurant etc.
Mobility
Planner
Direct Booking
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89. Copyright © William El Kaim 2015
Platform Needed…
89
The new digital, networked, real-time society forces us
to start thinking and acting as an ecosystem
Ecosystems are developed using platforms to
glue services via API and funds to encourage
startups and partners to hook in
90. Copyright © William El Kaim 2015
Key Resources
• Connected World – Transforming Travel,
Transportation and Supply Chains, World
Economic Forum.
• Re-programming Mobility: The Digital
Transformation of Transportation in the
United States
• Frost & Sullivan’s Future of Mobility
Claudine O'Sullivan
http://www.claudineosullivan.com/
Email : info@claudineosullivan.com
William(at)el-kaim(point)com
+33 6 41 73 00 34
http://fr.linkedin.com/in/williamelkaim
http://www.twitter.com/welkaim
http://www.slideshare.net/welkaim
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