1 / 18

Combined Flight Booking

Combined Flight Booking. Group 3 jürgen bauer patrick größ moritz riedl sebastian gabmeyer stefan kögl. Overview. Joe‘s Problem Prototype Offer Customer Process Business model assessment. Joe 35 years US citizen. Joe 35 years US citizen

enya
Download Presentation

Combined Flight Booking

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Combined Flight Booking Group 3 jürgenbauer patrickgröß moritzriedl sebastiangabmeyer stefankögl

  2. Overview • Joe‘s Problem • Prototype • Offer • Customer • Process • Business model assessment

  3. Joe 35 years US citizen

  4. Joe 35 years US citizen Plans a Euro Trip for his upcoming holidays

  5. Joe doesn‘t like going by train… Too slow… Always needs seat reservations… Joe generally doesn‘t like his fellow passengers…

  6. Joe‘s Problems So many airliners Expensive What‘s the best route?

  7. Joe found combined booking on the web… • His inputs are: • Start from: New York • Cities to visit (+ time constraints) • Paris min 3 days max 5 days • London min 2 days max 4 days • Rome min 4 days max 7 days • Vienna min 2 days max 4 days • Departure date: 12.08.09

  8. Joe found combined booking on the web… • His inputs are.. • Start from: New York • Cities to visit (+ time constraints) • Paris min 3 days max 5 days • London min 2 days max 4 days • Rome min 4 days max 7 days • Vienna min 2 days max 4 days • Departure date: 12.08.09 The system calculates the optimal Solution..

  9. The systemcalculatesthe optimal solution… • New York – London: 12. 08. 2009 (VirginAtlantic) 575 $ • London – Paris: 15.08.2009 (EasyJet) 83 $ • Paris – Rome: 19.08. 2009 (AirFrance) 180 $ • Rome – Vienna: 25.08.2009 (Niki) 125 $ • Vienna – New York 29.08.2009 (Austrian) 375 $ Total Price: 1338 $ … or add additional constraints

  10. Idea of „Combined Flight Booking“ • offer the optimal combination of flights • set destinations • set timeframe • for trip • for each destination • set order of destinations (optional) • get route with lowest costs • get links to booking-page of airline • Premium Service: tickets for all flights of selected route will be bought and send to customer

  11. Prototype 1/2

  12. Prototype 2/2

  13. Offer Value Proposition Simplified Process to get Route Information Service Cheap Flights

  14. Customer Customer Relationship Customer Segments young people fond of travelling budget-aware customers social backpackers network business people newsletters website city guides trip reports Distribution Channels

  15. Process Partner Network Key Activities query carrier‘s flight DB flight information data optimal route generation software developer result display ad distributor airlines parse flight information hotel chains car rental companies credit card companies Key Resources next step

  16. Cost/Revenue costs to get flight data advertis- ment commision revenue of premium service software development technology costs marketing costs Cost Structure Revenue Streams

  17. SWOT Analysis Strengths Weaknesses • Flexible, motivated team • Lots of in-house knowledge • Low cost structure • Hardly any real-world project experience • Languages • Legal knowledge • Marketing expertise Opportunities Threats • New/existing competitors extend their service • Access to/availability of flight data • Shift in consumer tastes • Formation of a new generation of euro-trip backpackers • Integration of hotel look-up service • Integration of car-rental service

  18. differentiation from competitors HIGH MEDIUM LOW factors

More Related