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Bdecisive - Booking.com Taipei Hack 2nd Prize

Bdecisive - Booking.com Taipei Hack 2nd Prize

Bdecisive - Booking.com Taipei Hack 2nd Prize
2017/3/11-12

Jeremy Yen

March 13, 2017
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  1. The Reality During the trip The hotel is so small

      ȓ  It doesn’t worth the price Even my niece can book better then you
  2. Day 1 - 3/12 ~ 3/13 Day 2 - 3/13

    ~ 3/14 ♥ Angela ♥ Brian Jeremy ♥ Jeremy Nick Angela Brian Jeremy ♥ Angela ♥ Brian
  3. Focus on the vital info Booking.com • Price / Surcharge/

    Refundable • Location (nearby summary) • Booking.com score • Extra services • Current Price
  4. Target user Family Trip Planner Friends Trip Planner School /

    Graduation Trip Planner Solo traveller looking for accompany
  5. Use case example Jeremy is planning a trip for team

    1 to visit Brian at Jakarta. Jeremy already done the research and wanted to act fast before the price raise.
  6. Impact on Save time on making decision Book at the

    best price. Retrieves the availability of each hotel realtime Retain the customer by: - Reducing comparing effort - Encouraging fast reservation. Bdecisive User Booking.com
  7. Scalability • All booking.com API call are done by backend

    • Cache API result in MongoDB • Async API calling poll in backend • Lumen as a small and efficient API backend • Wrap with docker for easy deployment • Work with load balance (nginx, HAProxy) to scale at anytime.
  8. Nick is looking for travel parters at a backpacker forum

    in Taiwan. He posted a Bdecisive poll page to further explain his trip plan Another use case
  9. Nick Jian User profile in native Android App The profile

    shows the message which was given by Nick’s traveling parter and friends