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REPORT
Clearedfortakeoff
AIelevatescustomerserviceintravelandtransportation
Managementsummary
transportationindustry,enhancingefficiency,cuttingcostsandimproving
customersatisfaction.Withitsabilitytoautomaterepetitivetasks,providereal-timesupportanddeliverhyper-personalizedservices,thenewtechnologyallows
companiestomeettherisingexpectationsoftoday'stravelerswhileaddressingtheoperationalcomplexitiesinherentinthissector.
A
rtificialintelligence(AI)isreshapingcustomerserviceinthetraveland
TheindustryhaslongshownastronginterestinusingAI-basedtechnology,withearlyusecasesalreadyshowcasingitstransformativepotential.FromAI-powered
chatbotsmanagingreal-timeitinerarychangestopredictiveanalytics,theindustry
isbusyintegratingAIintocustomer-facingandback-endprocesses.Indeed,the
industryappearstohavereachedapivotalmomentinitsadoptionofAI.Yet,significantregionalvariationpersists:WhileAsialeadswithadvancedAIimplementations,Europeshowsstrengthsindatareadinessbutlagsbehindinformalizingcustomerservice
usecases.TheUnitedStates,meanwhile,excelsintreatingdataasanassetbutfaceschallengesinareassuchassecurityandcompliance.
Despitethisprogress,steppinguptheadoptionofAIacrossthetravelandtransportationindustryisnoteasy.Challengesincludefragmentedprocesses,alackofstructured
AIgovernance,andresourceconstraints,particularlyamongsmallerplayers.Moreover,AIrequirescompaniestorethinktheiroperatingmodel,upskilltheirworkforceand
ensurerobustdatastructurestofullycapitalizeonitspotential.
Toremaincompetitiveinthisrapidlyevolvinglandscape,travelandtransportation
Cover:WeiquanLin/GettyImages
companiesmustmovebeyondisolatedusesofAIandadoptamoreholisticapproach.Thatincludesintegratingend-to-endprocesses,aligningtheirAIstrategieswiththeir
organizationalgoalsandfosteringinnovation.Below,wediscussthesechallenges–
andshowhowfirmsinthetravelandtransportationindustrycanunlockthefullpotentialofAItodeliverbothoperationalexcellenceandexceptionalcustomerexperiences.
2RolandBerger|Clearedfortakeoff
3RolandBerger|Clearedfortakeoff
Contents
Page
4
8
14
18
20
1Tickettotransformation
IsAIamust-haveoraluxuryupgrade?
2Clearedfortakeoff
HowtravelisleadingtheAIjourney
3Fromcheck-intochatbots
AIinaction
4Smoothlandingorturbulenceahead?
PreparingforAI
5Fullthrottle
ChartingthefuturewithAI
Fast
Facts
ofsurveyed
firmsconsiderthemselves
innovators
Regulatory
concernsseenasmainbarriertoadoption,
rangingfrom
56%offirmsinAsiato71%intheUSA
ofsurveyed
83%
managers
attribute"high"
importancetoAI
4RolandBerger|Clearedfortakeoff
1
Tickettotransformation
IsAIamust-haveoraluxuryupgrade?
Thetravelindustryhascomealongway.Fromtheinceptionofbrick&mortartravelagenciesin1840sEnglandandthefirstmasstourismboominthesecondhalfofthe19thcentury,theindustryhasoscillatedbetweengoodtimesandbad.1TwoworldwarsandtheCOVID-19pandemiceachtemporarilyputahalttointernationaltravelbutcouldnotdestroypeople'sinnerurgetoexplore.AsdiscussedinRolandBerger'sstudy
D2Cchallenges:Thetravel
industry
,2today'stravelindustryishometoavibrantdiversityofmarketplayerssellingtravelservicestoconsumersinahighlycomplexmarket.
Companiescanonlythriveinthismarketiftheystayontopoftheirgame,embracingnewtechnologiesthataddressconsumerpreferencesanddesires.Inthisstudy,weinvestigateindustryprogressonadoptingAIandplanstointegrateitfurther,identifyingcurrentgapsandmarketopportunitiesforplayers.Ourfindingswillbeofinteresttoallmarketparticipants,betheytouroperators,mobilityoperators,contentproviderssuchashotelchainsandairlines,oranyotherentitiesindirectcontactwithtravelconsumers.
Threetrendsarecurrentlydrivingtheadoptionofnewcustomerservicetechnologybythetravelindustry:strongerdemandfortravel,higherconsumerexpectationsoftravelexperiencesandtheincreaseddigitalizationofdistributionchannels&customerjourneys.Inlate2024andearly2025,RolandBerger,inpartnershipwithPotlocandTalentNeuron,carriedoutacomprehensiveglobalsurveyofdecision-makersincustomerservicedepartments,
Thetravelandtransportation
industryhastakenoffonitsAIjourney, butcruisingaltitudediffersalot amongtheplayers.Rule-basedAIuse caseswithchatbotsincustomer servicemarkonlyafirstmoveintheAI journey.Thenextstepisalready overdue-usingGenAI-basedagentsthatprovide,e.g.,packagecomposition proposals.Additionally,theimpactof AIonwebvisibilityneedstobe understoodandplayersmustrethink theefforttheyexpendongainingD2C marketshares.Standingstillisdefinitelynotanoption!"
withacross-industrypanelof550globalmanagers.Theresultsofthatstudyarereportedin
Servicewithasiliconsmile:
CustomerserviceintheageofAI
.3Some90ofthemanagersanddecision-makersinvolvedinthesurveyworkdirectlyinthetransportationindustry.Theirresponses,reportedhere,provideuswithinsightsintothespecificchallengesincustomerservicefacingtravelandtransportationcompanies,oneofthemostpromisingareasforAI,highlightinghowwidelyAIsolutionsarealreadyinusetodayandillustratingcurrentusecasesforthetechnology.A
MatthiasHanke,SeniorPartner
1Bieger,T.,Laesser,C.,&BeritelliP.(2025).DasEndedesTourismus?UniversityofSt.Gallen.
/10.36198/9783838563695
2
/en/Insights/Publications/D2C-challenges-The-travel-industry.html
3
/en/Insights/Publications/Customer-service-in-the-age-of-AI.html
5RolandBerger|Clearedfortakeoff
AKeytrendsdrivingtheadoptionoftechnologybythetravelindustry
Trend
#1
Strongerdemandfortravel
Trend#2
Higherexpectations
oftravel
experiences
Trend#3
Greaterdigitalization
ofcustomer
journeys
Source:RolandBerger
Trend#1:Strongerdemandfortravel
Thetravelindustryhasexperiencedaremarkableresurgencepost-pandemic,withglobaldemandreachingunprecedentedlevelsin2024.Fouryearsaftertheoutbreak,theindustryhasnotonlyreboundedbutexceededitspre-pandemicperformanceinmanyareas.InternationaltourismreceiptsareexpectedtohitUSD1.6trillionin2024,afourpercentincreaseover2019inrealterms,indicatingthesector'srobustrecovery.4Anestimated1.4billioninternationaltouristswererecordedin2024,representinganimpressive11%increaseoverthepreviousyear.5Thissurgeindemand,drivenamongotherthingsbythephenomenonof"revengetravel"–peopletakingtripsthattheyweren'tabletoduringCOVID-19–underscorestheresilienceoftheindustryandtheenduringdesireofconsumerstoexploretheworld.
Increasedtourismposesacriticalquestionforindustryplayers:Howcantheymeetboomingdemandeffectively,especiallyinthefaceofresourceandpersonnelscarcity–aparticularprobleminWesterneconomies?Astravelcompaniesgrapplewiththesechallenges,theymustexploreinnovativesolutionsforoptimizingoperations,improvingcommercial
vrAIisnolongeracompetitive
processes,enhancingcustomerserviceandensuringtheycanfulfiltheneedsofagrowingmarketinasustainablefashion.Meetingtheexpectationsof1.4billioninternationaltouristsrequiresnotjustoperationalefficiencybutalsoastrategicapproachtoresourceallocation,workforcemanagementandcustomerengagement.
edgebutastrategicnecessity.
Whilemanyinourindustryhavemadepromisingstarts,therealchallenge
liesahead:embeddingAIacrossthe
entirevaluechain.Thosewhoactnow,withvisionandresolve,willdefinethenexteraoftravelandtransportation."
FlorianDehne,Partner
4UnitedNationsWorldTourismOrganization(UNWTO).WorldTourismBarometerandStatisticalAnnex,January2025.
/doi/abs/10.18111/wtobarometereng.20?journalCode=wtobarometereng
5Ibid.
6RolandBerger|Clearedfortakeoff
Theroleoftechnology,particularlyAI,willbeessentialinaddressingthesechallengesandensuringtheindustrycanthriveinaneraofheighteneddemand.B
BEvolutionofinternationaltravelinrecentyears
Internationaltourismreceipts[USDtn]
Internationaltouristarrivals[m]
Today
+11%
1,500
1,400
1,300
1,200
1,100
1,000
900
800
700
600
500
400
300
200
100
0
1,445
1,465
1,415
1,305
1,339
1,246
1,1091,151
1,204
COVID-19
1,015
1,060
975
973
460
406
20102012201420162018202020222024
Source:RolandBerger,UNWTO
Trend#2:Higherexpectationsoftravelexperiences
Asglobaldemandsurges,sotoodotheexpectationsoftoday'stravelers.Consumersarelookingforout-of-the-ordinarytravelexperiencesandincreasinglyprioritizingconvenience,efficiencyandpersonalization.Toachievethis,theyarereadytomakeconcessions,suchasspendingmore:Accordingtooneindustrystudy,over90%oftravelersareallocatingthesameorhigherbudgetsfortravelin2025comparedtothepreviousyear.6WhileyoungergenerationssuchasGenZfocusonstretchingtheirbudgetswithcost-effectiveoptions,BabyBoomersareincreasingtheirtravelspendsignificantly,optingforpremiumservicesandaccommodation.Demandisgrowingforupgradedexperiences,frombusiness-classflightstoluxuryhotels,asconsumersseektomaximizecomfortandqualityduringtheirjourneys.7
6Sabre.(2025).SabreTravelerSentimentSurvey.Sabre.
/insights/adventure-seekers-multi
-generational-trips-and-this-years-biggest-spenders-sabre-survey-results-reveal-2025s-key-travel-trends/
7Ibid.
1.6
1.4
1.2
1.0
0.8
0.6
0.4
0.2
0.0
7RolandBerger|Clearedfortakeoff
Inadditiontofinancialconcessions,travelersareincreasinglyopentosharingpersonaldatainexchangeforgreaterconvenienceandpersonalization.AccordingtoIATA,85%ofpassengersarewillingtoshareimmigrationdatadigitallyinadvanceoftheirtrip,and89%expressinterestintrustedtravelerprogramsthatexpeditesecurityscreening.Thisopennessunderscoresashiftinconsumermindset,whereprivacyiswillinglytradedforseamless,tailoredtravelexperiences.8
Addingtothecomplexityofincreasedexpectationsistherisingpopularityofnichetraveltrends,suchas"cool-cations"andspecialtyexperiencessuchasSantaClaus-themedvacationsorsafariorsnorkelingadventures,tonamejustafew.Thesetrendsrequirecompaniestoofferincreasinglyspecializedservices,raisingquestionsabouthowmuchcanreasonablybeexpectedfromhumanemployeesinbothsalesandserviceroles.
Fortravelfirms,meetingtheseheightenedexpectationspresentsbothchallengesandopportunities.Amoredemandingclienteleincreasestheriskofcustomerdisappointmentbutalsoopensthedoortoinspiringandexcitingtravelerswithexceptionalservice.TonavigatethisVUCA(volatile,uncertain,complexandambiguous)world,companieshavenochoicebuttoembraceAI–asdiscussedintherecentRolandBergerstudy.
Trend#3:Greaterdigitalizationofcustomerjourneys
Digitaltransformationisreshapinghowconsumersinteractwithfirmsinthetravelindustry.Forexample,digitalchannelshavebecomethedefaultforplanning,bookingandpayment,with71%ofpassengerspreferringonlineorapp-basedbookingand53%favoringairline-specificdigitalplatforms.Paymentpreferencesarealsoevolving,with79%oftravelersoptingforcreditordebitcardsanddigitalwalletsgainingtraction,particularlyamongyoungerdemographics.Thisshifttowarddigital-firstinteractionsdemandsthattravelcompaniesnotonlymaintainastrongpresenceontheirownplatformsbutalsoengageeffectivelyonthird-partychannels,suchasonlinetravelagents–meetingconsumerswheretheyare.9
Asdigitalchannelsbecomethedominanttouchpointforplanningandbookingtravel,companiesinthetravelsectormustadapt,findingwaystobalancepersonalizationwithdatasecurity.AIprovidesthetoolstoenhancedigitaltouchpoints,therebydirectlyinfluencingKPIssuchascustomersatisfactionwhileminimizingcostsandoptimizingoperationsforcompanies.
AIhasawiderangeofapplicationsincustomer-relatedareas,fromprocessingandinterpretinglargeamountsofdatatodrivingchatbotsandhelpingdevelopresponsestospecificcustomerissues,alongwithenablingcommercialexcellence.Inlightoftheincreasingdemandsfromcustomers,AIincustomerservicemayprovetobeanenablerforhumanemployees,augmentingtheircapabilitiesandenablingfirmstoprovidebetter,moreeffectiveandmorecustomer-specificsolutionsatalowercost.
8IATA(2024).IATAGlobalPassengerSurvey2024.IATA.
/en/publications/newsletters/iata
-knowledge-hub/key-trends-in-passenger-behavior/
9Ibid.
8RolandBerger|Clearedfortakeoff
2
Clearedfortakeoff
HowtravelisleadingtheAIjourney
ThetravelindustryisatapivotalmomentinitsadoptionofAI,withearlyusecasesalreadydemonstratingitstransformativepotential.Frompersonalizedtripplanningtoreal-timeitineraryadjustments,AIisbeginningtoreshapehowtravelersdream,plan,buyandexperiencetheirjourneys.Theseinitialapplications,whilepromising,arejustthetipoftheiceberg,hintingatvastpossibilitiestocome.
Sofar,ourfocushasbeenprimarilyonthetravelindustry.Butthetravelandtransportationindustryisnaturallywiderthanthat,includingallfirmsinvolvedinmoving(orfacilitatingthemovementof)peopleandgoodsbyair,road,railorsea.Itismadeupoflargenumbersofstakeholders,includingplayersfocusedonbothconsumersandcorporatecustomers.Ourdatasetisbalancedbetweenthetwo,paintingatruepictureoftravelandtransportationandcoveringawidespectrumofcompaniesandusecasesalike.C
CB2Bvs.B2Cfocusoftravelandtransportationfirmsvs.otherindustriesinthesurveysample
USA
Travelandtransportation
[n=90]
42%
B2Cand B2Bandtechnicalservice
19%
B2CandB2Bandtechnicalservice
19%
B2CandB2B
48%
[n=21]
B2Bandtechnicalservice
5%
OnlyB2B
10%
OnlyB2C
Other
[n=460]
4%
9%
▲
9%
18%
[n=129]
18%
11%22%
[n=164]
25%12%
20%36%
2%5%
22%
Asia
42%
[n=36]
2%13%
8%
[n=167]
6%
5%
21%
15%
58%
Europe
30%
41%
[n=33]
FirmswithB2Cprocess
FirmswithoutB2Cprocess(exclusivelyB2B)
Source:RolandBerger,Potloc
9RolandBerger|Clearedfortakeoff
Thatsaid,perhapsthemostvisibledevelopmentsinthemarketfirstandforemostaffecttheB2Csphere.WeaskedrespondentswhethertheyfelttheirorganizationswerereadytoimplementAIintermsoftheiroperatingmodel,technology,accesstohigh-qualitydata,processautomationandsoon.Wethenusedtheiranswerstoclassifythembroadlyas"innovators,""adopters"or"laggards."Whatdidwefind?The90executivesfrominternationaltravelandtransportationfirmsfeaturethehighestnumberofself-proclaimedinnovators–tenpercent,comparedtosevenpercentacrossallindustries.TheserespondentsperceivetheirfirmasbeingatthehelmofusingAIincustomerservice.D
DAIimplementationreadinessbyindustry:
Travelandtransportationfirmsareforerunners[%ofrespondents]
InnovatorAdopterLaggard
33%
●7%
Overall
60%
FOCUS
Travel&transportation1)
●10%
58%
32%
Financialservices
Energyandutilities
Telecommunications
Retailandwholesale
Consumerproducts
9%
9%
7%
6%
0%
34%
29%
32%
41%
33%
57%
62%
61%
53%
67%
0-19%shareofvotes
40%+shareofvotes
20-39%shareofvotes
1Travel&transportation(incl.aviation,railroad,airportandmaritimeoperations)
Source:RolandBerger,Potloc
Withtenpercentinnovators,thetravelandtransportationindustrystandsoutfromothersectors.ThethreetrendsdiscussedinChapter1havealreadybeenrelevantfortheindustryforanumberofyears,pushingcompaniestobecomeincreasinglymoredigitalandgeneratecommercialvalue.Thetravelindustryrequiresclosealignmentwithconsumersinmanyinstances,eveninthecaseofB2Bfirmssuchasairlinecateringfirms,whoseproductsarealsoultimatelyusedbyconsumers.Thisappearstoboosttheindustry'smotivationtoadoptnewtechnologies,morestronglythanindustriesthatareonedegreeremovedfromendconsumers.Forexample,theconsumergoodssector,whoseproductsreachconsumersviathird-partyretailersinasimpleconsumptioncontext(forexample,foodconsumptionathome),hasnoself-styledinnovators.
WhiIethetraveIandtransportationindustryappearstohaveacomparativeIygoodgraspofthetopicofAIincustomerservice,itsperformancecomparedtootherindustriesmeritscIoseexamination.TheRolandBergerAIReadinessFrameworkcomprisesasetofkeydimensionsandIeversthatrepresentprerequisitesforthesuccessfuIdepIoymentofAI–reIatedstrategiesinthecustomerserviceenvironment.FourcriticaIdimensions-data,products,operatingmodeIandtechnoIogy-formthecoreofourmodeI,eachsupportedbyfouressentiaIIevers.These16IeverscoIIectiveIyformthefoundationforusingAItodriveefficiency,innovationandcustomersatisfaction.TheirinterconnectednessensuresthatAIinitiativesarenotonIytechnicaIIyfeasibIebutaIsostrategicaIIyaIignedwithbusinessgoaIs.BeIow,weoutIinethebackgroundforeachofthefourdimensions.
FigureEshowsthevaryingIeveIsofmaturityinthefourdimensionsforcompaniesacrossaIIindustries.ThedatadimensionappearstobethemostdeveIoped,withhighreadinessindataanaIyticaIdiscipIines,incIudingbigdata.CompaniesareaIsomakingstridesintreatingdataasanassetforprocesses,aIthoughindatacapabiIitiesanddataquaIitytheyshowonIymediumreadiness.Theproductsdimensionshowsmixedprogress,withhighreadinessinusecasesforimprovingexistingprocessesandmediumreadinessfortheactuaIdepIoymentofusecase–specificorproduct–andservice–specificknowIedge.ThetechnoIogydimensionIagssomewhatbehind,withmediumreadinessthroughoutaIIareasandverymixedresuItsforback–enddigitaIizationandintegrationIayers,asweIIasareassuchasscaIabIeinfrastructureandsecuritymechanisms.LastIy,theoperatingmodeIdimensionistheIeastmature,withIowreadinessindecentraIizedP&L–responsibIeteamsandoutcome–basedgovernanceasweIIasagiIecross–functionaIteams,aIthoughsomeprogressisevidentincompaniesIviewsonprocessautomationoptimizationopportunities.ThismirrorsweIItheoveraIIpictureofreIativeIyhighawarenesscombinedwithIittIeproficiency-andtheneedfortargetedeffortstoincreaseAIreadinessacrossaIIdimensions.E
HowdoestraveIandtransportationcomparewithotherindustries?FigureFcomparesthe16dimensionsofAIreadinessintraveIandtransportationwiththereadinessinotherindustrieswithintheUS,asweIIascomparingtheUStraveIandtransportationindustrywiththeotherregions.ForthethreegeographicaIregionscoveredinthesurveycomparedwithaIIotherindustriestakentogetherintheUS,thefigureindicatesthepercentageofrespondentsineachcasethatconsiderthemseIves"fuIIyready"(vs."somewhatready"or"notquiteready/notreadyataII").F
AnuancedpictureemergesfortraveIandtransportation,withnotabIestrengthsandweaknessescomparedtootherindustriesandincertaingeographicregions.IntheUnitedStates,forexampIe,theindustryisparticuIarIystrongintreatingdataasanassetforprocesses,with29%ofrespondentsstatingthattheircompanyis"fuIIyready"inthisdimension,significantIyhigherthanthe14%readinessIeveIseeninotherindustries.SimiIarIy,traveIandtransportationintheUnitedStatesoutperformsintermsofhavingstructuredcataIoguesofcustomerserviceusecasesandoutcome–basedgovernance(33%-theUnitedStateshasbeenattheforefrontoftechnoIogicaIautomationandcoding,whichhaspromptedfirmstoconsiderwaystoimprovetoamuchIargerextentthansimiIarfirmsinAsia(6%)andEurope(9%).
10RolandBerger|Clearedfortakeoff
11RolandBerger|Clearedfortakeoff
ETheRolandBergerAIReadinessFramework
Cross-industryresults
Category
Operatingmodel
Products
Data
Technology
Maturitylevel
●.
.
.
●●
●
●
●
●●
●●
Dimension
Processautomationoptimizationopportunities
DecentralizedP&L-responsibleteamsAgilecross-functionalteams
Outcome-basedgovernance
Monitoringofdata-drivenproducts/services
Personalizationandcontextawareness
StructuredcatalogueofcustomerserviceusecasesUsecasestoimproveexistingprocesses
High-quality,diverseandup-to-datedataBigdataanalyticscapabilities
DataavailableasanassetforprocessesDatacapabilitiesandskills
Scalableinfrastructure(cloudification)SecurityandcompliancemechanismsTechnologicaltoolsandenablers
Back-enddigitalizationandintegrationlayer
Readinesshigh
.Readinesslow
●Readinessmedium
FAIreadinessoftravelandtransportationvs.otherindustries
[%ofrespondentswhoconsiderthemselves"fullyready"]
USA(exemplaryforindustrycomparison)AsiaEurope
ProcessautomationoptimizationopportunitiesDecentralizedP&L-responsibleteams
Agilecross-functionalteams
Outcome-basedgovernance Monitoringofdata-drivenproducts/services PersonalizationandcontextawarenessStructuredcatalogueofcust.serviceusecases
UsecasestoimproveexistingprocessesHigh-quality,diverseandup-to-datedataBigdataanalyticscapabilities
Dataavailableasanassetforprocesses
DatacapabilitiesandskillsScalableinfrastructure(cloudification)SecurityandcompliancemechanismsTechnologicaltoolsandenablers
Back-enddigitalizationandintegrationlayer
Other
industries
21%5%
7%
9%
23%
15%17%19%
14%
31%
14%
37%
22%12%
23%12%
Travel&
transportation
19%
5%
10%
24%
24%
10%
33%24%
19%
19%
29%24%14%
5%
19%
10%
Travel&
transportation
28%
6%
11%
8%
28%
17%
6%
33%
31%
31%
19%
22%
33%28%31%14%
Travel&
transportation
15%
9%
24%
24%
39%
21%9%
24%
36%33%30%27%
15%
18%
30%
9%
Operatingmodel
Products
Data
Technology
ParticularstrengthParticularweakness
Source:RolandBerger,Potloc
12RolandBerger|Clearedfortakeoff
However,theUStravelandtransportationindustrylagsbehindinself-perceivedbigdataanalyticscapabilities–perhapsduetorespondentscomparingthemselvestoindustriesfaraheadinthisrespect,suchasmediaortechnology,orbecauseourdatasetincludesahigherproportionofB2BfirmsintheUnitedStatesthanelsewhere.Furtherweaknessesexistinsecurityandcompliancemechanisms,whereonlyfivepercentofUSrespondentsreportfullreadiness,comparedto12%inotherindustries.Thisgaphighlightsacriticalareaforimprovementinthetechnologicalinfrastructureoftravelandtransportationcompaniesintheregion.
InAsia,travelandtransportationcompaniesexcelinproduct,operatingmodelandtechnologyaspects.Some33%ofrespondentsindicatefullreadinessinusecasesthatimproveexistingprocesses,highlightingtheirdesiretofurtheroptimizeprocessesbothinthesupplychainandinvolvingcustomers.Whiledatacapabilitiesappearweakerincomparison(22%),processautomationeffortsandopportunitiesarerelativelystrong(28%),furthersupportedbystrong"cloudification"(33%)andtheITbackbone.Thisstrengthunderscorestheregion'sfocusoncustomer-centricsoftwareapplications–Asiaisalsotheleaderin"superapps"thatcovermanyaspectsofconsumers'dailylives.
InEurope,travelandtransportationleadsinseveraldimensions.Forexample,36%ofrespondentsreportfullreadinessinhigh-quality,diverseandup-to-datedata,comparedtojust14%inotherindustriesintheUnitedStates.Similarly,39%oftravelandtransportationrespondentsarefullyreadywithregardtomonitoringdata-drivenproductsandservices,significantlyoutperformingthe23%readinesslevelofotherUSindustries.Therecentsurgeinspecialtytravel(seeChapter1)maybeanexplanatoryfactorhere:ThesheernumberofspecialtytravelfirmscontinuestorisewithinEurope,andtheseplayersrelyonadata-drivenproductandserviceapproachthatenablesthemtotailortheirservicestocustomerpreferences.AkeyweaknessisEuropeliesinthestructuredcatalogueofcustomerserviceusecases,whereonlyninepercentoftravelandtransportationrespondentsreportfullreadiness,comparedto17%inotherindustriesintheUnitedStates.ThisgapsuggeststhatwhileEuropeantravelandtransportationcompaniesexcelindataandmonitoringcapabilities,theymayneedtofocusmoreonformalizingandscalingcustomerserviceusecases–anessentialgaptoclosewhenitcomestoimplementingAI.
Overall,thetravelandtransportationsectordemonstratesstrongregionalvariationsintermsofAImaturity,withclearareasofleadershipandopportunitiesforimprovement.Whileouranalysisunderscoresthetravelandtransportationindustry'sambitiontobecomeaforerunner,todosoitwillneedtoaddressareassuchashavingclearlydelimitedstructuredcataloguesofAIusecases,tonamebutoneareaforimprovement.
Lookingahead,thenextwaveofAIadoptioninthetravelindustrywilllikelyfocusondeepeningpersonalizationandenhancingpredictivecapabilities.AIsystemscouldevolvetoanticipatetravelerpreferenceswithevengreateraccuracy,offeringhyper-personalizedrecommendationsbasedonpastbehaviors,real-timedataandcontextualfactorssuchasageandlikelyfamilyconstellations.Additionally,asAIcontinuestomature,itmayplayalargerroleinoptimizingcommercialandoperationalprocesses,fromdynamicpricingmodelstoresourceallocationacrosst
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