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Rise of smart mobility part 3 - the coming fourth digital revolution in travel

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Rise of smart mobility part 3 - the coming fourth digital revolution in travel.

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Rise of smart mobility part 3 - the coming fourth digital revolution in travel

  1. 1. The Rise of Smart Mobility Era – Part 3 The Coming Fourth Digital Revolution in the Travel Ecosystem William El Kaim – May 2015
  2. 2. This Presentation is part of the Enterprise Architecture Digital Codex http://www.eacodex.com/Copyright © William El Kaim 2016 3
  3. 3. Read the Companion Article on SKIFT Copyright © William El Kaim 2016 4Access the Article
  4. 4. Lisez l’article associé à cette présentation sur TOM Copyright © William El Kaim 2016 5Accès à l’article
  5. 5. 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? 6Copyright © William El Kaim 2016
  6. 6. The 4th Revolution In Travel Industry: Travel As A Service And Mobility 7Copyright © William El Kaim 2016
  7. 7. Customer at the HEART! 8Copyright © William El Kaim 2016
  8. 8. Sharing Economy 9Copyright © William El Kaim 2016
  9. 9. CoavMi: Jet Sharing Copyright © William El Kaim 2016 10http://coavmi.com/
  10. 10. 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 11Copyright © William El Kaim 2016
  11. 11. Mobility As A Service in Finland Copyright © William El Kaim 2016 12http://maas.fi/
  12. 12. Sidewalk Lab (from Google) • We’re on the brink of a historic period for cities around the world. • By 2050, the population in cities will double, intensifying existing socioeconomic, public health and environmental problems. • At the same time, innovations in technology can be used to design communities that are more efficient, responsive and resilient. • Sidewalk Labs aims to foster the development of technology products, platforms and infrastructure that help improve life in cities around the world. Copyright © William El Kaim 2016 13http://www.sidewalkinc.com/
  13. 13. 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 14Copyright © William El Kaim 2016
  14. 14. 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 15Copyright © William El Kaim 2016
  15. 15. API and Open Source Everywhere 16 https://developer.uber.com/ https://sudo.hailoapp.com/ Copyright © William El Kaim 2016
  16. 16. 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/ 17Copyright © William El Kaim 2016
  17. 17. 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/ 18Copyright © William El Kaim 2016
  18. 18. Calendar42: Mobility Attached to Agenda 19 http://site.calendar42.com/ Copyright © William El Kaim 2016
  19. 19. “Intelligent Email” 20http://www.slidemailapp.com/Copyright © William El Kaim 2016
  20. 20. 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/ 21Copyright © William El Kaim 2016
  21. 21. 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 22Copyright © William El Kaim 2016
  22. 22. 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 23Copyright © William El Kaim 2016
  23. 23. 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 24Copyright © William El Kaim 2016
  24. 24. Top Technology Shift To Leverage 25Copyright © William El Kaim 2016
  25. 25. Interactive Proactive Multimodal Intermodal Assistant 26Copyright © William El Kaim 2016
  26. 26. 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 27Copyright © William El Kaim 2016
  27. 27. Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 28Copyright © William El Kaim 2016
  28. 28. IPITA: Not Existing Yet Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 29Copyright © William El Kaim 2016
  29. 29. IPITA: Business Models 30Copyright © William El Kaim 2016
  30. 30. The Power of Big Data 31Copyright © William El Kaim 2016
  31. 31. 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 32Copyright © William El Kaim 2016
  32. 32. The Power of Big Data Historical Data Big Data: Data Mining, Reporting, and Benchmarking, Forecasting 33Copyright © William El Kaim 2016
  33. 33. Google Flight Explorer https://www.google.com/flights/explorer/ 34Copyright © William El Kaim 2016
  34. 34. SkyScanner Traveler Insight 35http://business.skyscanner.net/portal/en-GB/AnalyticsCopyright © William El Kaim 2016
  35. 35. NYC Taxi Data Visualization http://googlemapsmania.blogspot.co.uk/2014/11/mapping-new-york-taxi-data.html 36Copyright © William El Kaim 2016
  36. 36. Safety Line http://www.safety-line.fr/en/ 37Copyright © William El Kaim 2016
  37. 37. Uber Leaderboard https://uberstats.parseapp.com/ 38Copyright © William El Kaim 2016
  38. 38. 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 39Copyright © William El Kaim 2016
  39. 39. Waze https://www.waze.com/ 40Copyright © William El Kaim 2016
  40. 40. Waze Live Map https://www.waze.com/fr/livemap 41Copyright © William El Kaim 2016
  41. 41. http://corp.smartaxi.me/ 42Copyright © William El Kaim 2016
  42. 42. Airports Misery Map http://fr.flightaware.com/miserymap/ 43Copyright © William El Kaim 2016
  43. 43. Train Misery Map by CrowdSourcing http://www.raildar.fr/ If you do not open your data, the crowd will do it for you! 44Copyright © William El Kaim 2016
  44. 44. Train Maps by SNCF http://www.sncf.com/fr/geolocalisation 45Copyright © William El Kaim 2016
  45. 45. 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 46Copyright © William El Kaim 2016
  46. 46. Milanamos Copyright © William El Kaim 2016 47http://milanamos.com/
  47. 47. Qucit: Forecast Urban Mobility http://www.qucit.com/#top 48Copyright © William El Kaim 2016
  48. 48. Path To Park http://www.pathtopark.fr/ 49Copyright © William El Kaim 2016
  49. 49. CrowdSourcing or Tracking? http://snips.net/ 50Copyright © William El Kaim 2016
  50. 50. 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 51Copyright © William El Kaim 2016
  51. 51. Urban Engines Video https://www.urbanengines.com/ 52Copyright © William El Kaim 2016
  52. 52. Urban Engines Source: Gigaom 53Copyright © William El Kaim 2016
  53. 53. Urban Engines Source: Gigaom 54Copyright © William El Kaim 2016
  54. 54. Urban Engines Source: Gigaom 55Copyright © William El Kaim 2016
  55. 55. MultiModal and Time Series - iGeolise http://www.igeolise.com/ 56Copyright © William El Kaim 2016
  56. 56. ForCity http://www.forcity.com/en/ 57Copyright © William El Kaim 2016
  57. 57. Beeline • Singapore has announced a proof of concept for an experimental bus scheme that could allow citizens to reserve bus seats and create new routes that better suit their needs. • The scheme, called Beeline, is intended to allow commuters to suggest where they would like to be picked up from, and where they would like to go. • The government has this week launched a web site - beeline.sg - with an interactive map for this purpose. • If enough citizens suggest a new route, a private bus service could be activated. • Other proposed features include allowing pre- booking of seats; notifications of bus arrival times; and express buses for especially popular routes. Copyright © William El Kaim 2016 58https://www.beeline.sg/
  58. 58. Public Bus On Demand • MIT researchers have created a platform that could turn bus transportation into your own personal pickup service. • Platform that would place buses strategically around the city. • As people request them via phone or computer, the buses would use an algorithm to reroute to their locations. It would take no more than seven minutes for a bus to arrive. • Karthik Narayan, a senior experience designer at Isobar US, has a potential solution: on-demand public buses that pick you up wherever you are and drop you off where you need to go, no need to run to the bus stop or go ten blocks out of your way. • The concept is a bit similar to the carpool services that Uber and Lyft offer today. • Source: FastCoExist Copyright © William El Kaim 2016 59https://youtu.be/_JF5jWdJXPw
  59. 59. 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 60Copyright © William El Kaim 2016
  60. 60. 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 61Copyright © William El Kaim 2016
  61. 61. Boxever http://www.boxever.com/ 62Copyright © William El Kaim 2016
  62. 62. WayBlazer: IBM Watson for Travel http://wayblazer.com/ 63Copyright © William El Kaim 2016
  63. 63. BD4Travel • bd4travel (“Big Data for Travel”) offers IT solutions for real time personalization and targeting of customers and customer segments on travel portals. Copyright © William El Kaim 2016 64http://bd4travel.com/
  64. 64. Pervasiveness Through Unbundling and Deep Linking 65Copyright © William El Kaim 2016
  65. 65. Call a Cab! http://bt.tn/ 66Copyright © William El Kaim 2016
  66. 66. 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. 67Copyright © William El Kaim 2016
  67. 67. 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/ 68Copyright © William El Kaim 2016
  68. 68. 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 69Copyright © William El Kaim 2016
  69. 69. 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 70Copyright © William El Kaim 2016
  70. 70. The Age Of Apps As Service Layers Source: GLASSEFFECT 71Copyright © William El Kaim 2016
  71. 71. The Age Of Apps As Service Layers Source: GLASSEFFECT 72Copyright © William El Kaim 2016
  72. 72. 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. 73 https://blog.hailoapp.com/2015/02/02/hailo-google-now/ Copyright © William El Kaim 2016
  73. 73. 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. 74Copyright © William El Kaim 2016
  74. 74. Scout: Mobile Taxi Aggregator in India 75 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/Copyright © William El Kaim 2016
  75. 75. Le Taximetre: Taxi/Black Car Aggregator in France Copyright © William El Kaim 2016 76http://www.letaximetre.fr/
  76. 76. URX https://urx.com/ 77Copyright © William El Kaim 2016
  77. 77. Quixey 78http://www.quixey.com/Copyright © William El Kaim 2016
  78. 78. 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 79http://deeplink.me/appwordsCopyright © William El Kaim 2016
  79. 79. UBER New API https://developer.uber.com/ 80Copyright © William El Kaim 2016
  80. 80. Ride New Carpooling Commuting Service 81https://www.ride.com/Copyright © William El Kaim 2016
  81. 81. Travelstart Use Yo! https://index.justyo.co/a/TRAVELSTART 82Copyright © William El Kaim 2016
  82. 82. Pocket WiFi http://hippocketwifi.com/en/ 83Copyright © William El Kaim 2016
  83. 83. Travel WiFi http://travel-wifi.com/# 84Copyright © William El Kaim 2016
  84. 84. Disruptions: End of Intermediaries? 85Copyright © William El Kaim 2016
  85. 85. 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! 86Source: The WeekCopyright © William El Kaim 2016
  86. 86. HRG Splits Operations – Launch Fraedom http://www.fraedom.com/ 87Copyright © William El Kaim 2016
  87. 87. Locomote Disrupted Bus. Travel in Austalia 88Copyright © William El Kaim 2016
  88. 88. NexTravel: New OBT https://www.nextravel.com/intro 89Copyright © William El Kaim 2016
  89. 89. Serko: New Mobile App for Bus. Traveler 90Copyright © William El Kaim 2016
  90. 90. Ex: Ride Share in Washington D.C. • Lift startup based out of the 1776 tech incubator, offers an app-based hailing system similar to Uber or Lyft but with its own gimmicks designed to make it stand out. • Counts Transdev as investor • Split works much like a car-pool. • Drivers will pick up customers who are all going the same way, taking them to their destination one by one. • It's $2 per ride and $1 per mile with no surge pricing, with rides costing between $2 and $8. • The eventual plan is to cover the entire District, but for now, Split is driving around the area in the map below and has about 20 drivers working for them. • Compete with: Uber, Lyft, Sidecar and Green Tomato Cars + commuter sharing startup Bridj + Getaround, a shared-car rental platform Copyright © William El Kaim 2016 91
  91. 91. Split: Ride-Sharing in DC Copyright © William El Kaim 2016 92http://split.us/
  92. 92. http://www.bridj.com/#new-page Bridj: Luxury Shuttle on Demand in DC 93Copyright © William El Kaim 2016
  93. 93. Getaround in DC Copyright © William El Kaim 2016 94https://www.getaround.com/
  94. 94. Transloc • The emerging TransLoc operating system can draw on Traveler data in two key ways. • First, it can inform agencies that some of their fixed route service might be inefficient—say, by changing the number of buses or routes that run at different times of the day based on ridership. • More critically, says Kaufman, the new system will be able to recommend where transit agencies can supplement existing fixed service with a more flexible, on-demand option. 95http://transloc.com/Copyright © William El Kaim 2016
  95. 95. LA Zooz – No company – Bitcoin like http://lazooz.org/ 96Copyright © William El Kaim 2016
  96. 96. Mobility Era Will Lead to New Ecosystems 97Copyright © William El Kaim 2016
  97. 97. Source: TheFamily 98 Uber, Leap Transit, and Bridj have made mass transit agencies realize that their captive ridership could actually be threatened over time. Copyright © William El Kaim 2016
  98. 98. Digital Darwinism Source: Altimeter 99Copyright © William El Kaim 2016
  99. 99. Red Queen Effect Source: Meedabyte 100Copyright © William El Kaim 2016
  100. 100. Evolutions of Ecosystem Traveler Travel agency GDS Airlines, Train, Hotel Traveler GDS Airlines, Train, Hotel MetaSearch Aggregators Travel agency Online Travel agency Direct Booking 101Copyright © William El Kaim 2016
  101. 101. 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 102Copyright © William El Kaim 2016
  102. 102. Anatomy of a Modern Digital Business (Pivotal) 103Copyright © William El Kaim 2016
  103. 103. Platform Needed… 104 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 Copyright © William El Kaim 2016
  104. 104. 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 105Copyright © William El Kaim 2016

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