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overview
Amadeus Instant Search
ACO RussiaGrach MuradyanMOW, December 2014
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LFS challenges
Ø Low Fares Search – major online serviceØ Important competition factor
Ø LFS dilemma: response time vs. data accuracyØ Short response time: based on pre-computation
Ø Dynamic situation with availability on critical flights
Ø Longer response time: real time processing Ø More actual data – still risk of loosing last seat available
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LFS challenges
Ø Two Amadeus product lines in LFSØ Real time processing: preceding the booking
processØ MasterPricer / MasterPricer Calendar
Ø MetaPricer (meta-search)
Ø FlexPricer (airline direct channel)…
Ø Pre-computated data: inspiration / Instant Search Ø Extreme Search
Ø Featured Results
Ø MasterPricer Instant (planned for 2015)…
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LFS challenges
Ø MasterPricer – dynamically created recommendationsØ Multi-stage processing
Ø Journey Server
Ø Route Explorer
Ø Connection builder
Ø Availability Server
Ø Fare Server
Ø Sweeper
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LFS challenges
Ø MasterPricer average response time: 4089 msØ Depending on the MP options used
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LFS challenges
Ø Average time for Extreme Search reply: 39 msØ 100 times faster vs. MasterPricer
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Pricing and
Shopping Platform
Massive Computati
on Platform
Massive Search
Platform
Instant Transactions
Standard Transactions
A Transaction Based Processing
Pre-Computation Based Processing
Ultra Fast Index Search
B
C
B Availability
Server
Price Feed
Fare
Data Base
ATPCO (Public and
Cat35 Fares)FareXpert
(Private Fares)
Poll
Avail.Cache
Calculator
AVS
IB
UXUX
AFAF
LHLH
BABA
…
Fare SearchEngine
JourneyServer Schedules
OAG…
C
A
Plug
ins
Massive Platforms
……
……
Pres
enta
tion
laye
r .C
OM
Con
tent
agg
rega
tor l
ocal
ca
che
(Hot
el, L
CC
, etc
.)
Transactional Price Data Feed
Retail Interactive queries
Bulk results
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Extreme Search: computation results
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Des
tinat
ions
1 Cube per Origin
MOW
683 € – LH – Cheapest709 € – SU – Direct
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Extreme Search: key features
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Up to 1500 results in one reply
Accuracy (90% with 2% tolerance)
Ultra fast response time (40 ms + network)
Fixed cost (for a given data volume)
Open query (only origin is mandatory)
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“I want to go on vacation to Bali, but when is the best time of the year to get a cheap price?”
Extreme Search: offer page
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“I’ll treat myself with a travel to a place far away... Where can I go within my budget of €900?”
Extreme Search: offer page
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Travel AgencyMarketing Team
Dynamic Marketing
12
Batch
OriginDestination+ More Options
Cheapest Flights to Bangkok
$499
Computation Template
Landing Pages
Campaign Admin
Easy TravelQ
Easy TravelQ
Creation+ Refresh
URL Mapping
Easy TravelQTemplates
Landing Page Templates
<header>
<img>
Easy TravelQ
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Mobile application
Ø Corner project: XS + MP = success
Ø For iPhones & iPads
Ø Free -> in App Store
Ø First launched in Aug 2014
Ø Android version to follow
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Ø 1 transaction: 4 instant resultsØ Fastest recommendation
Ø Cheapest recommendation
Ø Most popular flights based on wisdom
of crowd
Ø Sponsored result for a good deal
Ø Information tags for each resultØ Low Seat Availability creating emergency to
book
Ø Popularity Rating demonstrating the value of the choice
Amadeus Featured Results
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Featured Results: flow
FR price
results cache
Extreme search web-service query with Featured Results
embedded Business intelligence (Popularity
of the destinations)
1 Subsequent shopping query:
- Instant- Mono-destination
- Mono dates,- 4 bookable
recommendations
2
Shopping stepPre-shopping step
Featured Results (FR) pre-
computation platform
Simultaneous live shopping query:
Master Pricer Travelboard
3
Live process0
246810121416
0€20€40€60€80€
100€120€140€160€
Paris
Popularity %
Cheapest Price
Barcelona
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Ø Business intelligence within the flight search process
Ø Combining different criteria
MIDT
Data source
All indirect bookings (agents) tickets (from
any GDS)12/07/2014
LON -> NYC MIA -> REK …
Travel solution
Nb Bookings
Travel solution
Nb Bookings
Travel solution
Nb Bookings
DL 155 65 UA 784 13 … …
BA 240 98 AA 420 28 … …
Featured Results: popularity
Featured Results: offer page
Featured Results: offer page
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Thank you !
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LFS: MasterPricer flow
» Behind MP request: processing a cascade of transactions » A number of servers involved
» All calculations - in real time
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