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REMAPPINGTRAVELWITHAGENTICAI
TableofContents
1Introduction4
2AI’sgrowingbutnotfullyrealizedroleintravel6
3Agentic:ThenextchapterinAI’sevolution11
4Theagentic-AI-poweredfutureofcustomerexperienceintravel15
5HowagenticAIcanimprovetravel’sinternalworkflows20
6LaunchingandacceleratingagenticAIadoption25
AboutSkift
Skiftisthelargestindustryintelligenceplatformpro-vidingmedia,insights,andmarketingtokeysectorsoftravel.SkiftdeciphersanddefinestrendsforglobalCEOsandCMOsacrossthetravelindustrythroughacombinationofnews,research,conferences,andmarketingservices.
AboutMcKinsey&Company
McKinseyisaglobalmanagementconsultingfirmcommittedtohelpingorganizationsacceleratesus-tainableandinclusivegrowth.Weworkwithclientsacrosstheprivate,public,andsocialsectorstosolvecomplexproblemsandcreatepositivechangeforalltheirstakeholders.Wecombineboldstrategiesandtransformativetechnologiestohelporganizationsinnovatemoresustainably,achievelastinggainsinperformance,andbuildworkforcesthatwillthriveforthisgenerationandthenext.
Theworkisindependent,reflectstheviewsoftheauthors,andhasnotbeencommissionedbyanybusiness,government,orotherinstitution.
Acknowledgements
ThereportdrawsonjointresearchcarriedoutbetweenMcKinsey&CompanyandSkiftResearch,includingexecutiveinterviewsacrossthetravelandtechnologysectors.
Theauthorswishtothankanumberoftravelandtechnologyexecutiveswhogenerouslysharedtheirperspectives,includingMarilynMarkham(VicePresidentofAI&AutomationStrategy,AmericanExpressGlobalBusinessTravel);NaveenManga(CTO,Marriott);RodrigoAcunaAgost(HeadofResearch&AI,Ama-deus);MatthiasKeller(CPO,Kayak);AtyabBhatti(CEOandCofounder,SkyLink);KurienJacob(PartnerandManagingDirec-tor,HighgateTechnologyVentures);GiladBerenstein(Founder,BrookBayCapital,LLC);CaraWhitehill(VicePresident,Thayer);DrewPinto(ExecutiveVicePresident,Marriott);ParveenChan-derKumar(CEO,IHCL);AlexMcGowan(Chiefoperationsandservicedeliveryofficer,CathayPacific);BrenoHelfsteinMoura(Headofhospitality,Palantir);DavidNeeleman(CEO,Breeze);ShilpaRanganathan(CPO,Expedia);andRobRansom(CSO,BookingHoldings).
ThereportteamalsobenefitedfromthesupportofMcKinseycolleaguesSalArora,JustinJ.Zhang,JosephIm,KevinMajor,WilliamHawley,AnkitMital,AnkurPuri,KaitlinNoe,DarrenRivas,SarahSahel,KamilaCieslak,AlessandraPowell,andNadyaSne-zhkova,allofwhomplayedaninstrumentalroleincreatingthisreport.TheauthorswouldadditionallyliketothankSkift’sTaylorSlatteryandMcKinsey’sSethStevensonforeditorial,externalrelations,andcommunicationssupport.
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY3
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY4
Introduction
A
genticAIcouldupendthetravelindustry.TravelandhospitalityorganizationsshouldexplorehowagenticcanhelpcatalyzeAI’stransformativepotential.
genAI’ssignificanceformostcorporationsremainsunde-termined:McKinseyresearchindicatesthat78percentofcompaniesreportusinggenAI,yetmorethan80percentofcompanieshaveseennomaterialcontributiontoearningsfromtheirgenAIinitiatives.Thissuggeststhattherecontinuestobegreatenthusiasmaboutwhatthetechnologycandoandgreatuncertaintyabouthowbesttoextractvaluefromit.
AgenticAIisthebuzziestnewtechtoolonthescene,anditoffersthrillingcapabilities.WhilegenAImostlyfunctionsasanadviserbyprovidingwell-informedcounsel,agenticAIcanfunctionmoreasadirectreportbyaccomplishingtasks.Ithastheagencytomakedecisionsandthenautonomouslyactonthem.Itcanidentifyproblems,findfixes,andapplysolutionsallonitsown.It’ssmartandtireless,aself-starterandgo-getter,requiringonlylimitedhumanoversight.Per-hapsmostimportant:AgenticAIcanserveasaninterfacethatcouldhelpcompaniesharnessthefullpowerofAI.
Thetravelindustryhasbeennostrangertotechupheaval.Tectonicshiftsoverthepastseveraldecadeshavechangedthewaysthatweplan,book,andexperienceourjourneys—whilealsodisruptingthecompaniesthathelpbringthosejourneystolife.
Whilesometechinnovationscreateclearandcapturableopportunitiesfortravelindustrygrowth,othersoffertanta-lizingpotentialthatbumpsupagainstreal-worldchallenges.Withthearrivalofeachsuccessivetechtrend,industrystake-holdersareforcedtoasksomequestions:WillthisflashyinventionbringdelighttotravelersanddeliverROItotravelcompanies?Orwillitburntime,money,andeffortwhilegeneratinglittleinthewayofconcreteresults?
ConsidergenAI,aheraldedtechnologythathasgarneredconsiderableattentionfrominvestors,executives,andboard-rooms.WithintwomonthsofChatGPTusheringgenAIintothepublicconsciousnessin2022,thesoftwarehadalreadyattractedmorethan100millionusers.Butafewyearslater,
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY5
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》INTRODUCTION
AgenticsystemscouldholdthekeysthatatlastunlocktheAI-fu-eledproductivityandefficiencygainsthathavesofarproved
elusiveformanyorganizations.AgenticAImakespossibletrue
processreinvention,notjusttaskautomation,byembeddingagentsacrosscomplexverticalworkflowsandfunction-specificusecases.Itcanboostspeed,personalization,andresiliencewhileopeningnewrevenuestreams.
GiventhetremendouspotentialofagenticAI,travelandhospital-itycompaniesarebeginningtoexperimentwithit.Buttorealizethetechnology’sfullimpact,organizationswillneedtocreatenewAIstrategies,governance,andinfrastructure—alteringcorebusinessprocessesandwaysofworking.Companieswillhavetoshiftfromscatteredpilotstoenterprise-scaletransformationsarchitectedbycross-functionalteamsandchampionedbydeeplyengagedC-suiteleaders.
WhatdoesthetravelindustryneedtoknowasitpondersgoingallinonagenticAI?Howsuitedisthistechnologytotheuniquedynamicsofthetravelsector?Whichconsumer-andnon-con-sumer-facingusecasescouldoffertravelandhospitalityplayersthemostROIintheneartermandoverthelonghaul?HowcanorganizationsintegrateagenticAIinwaysthatwillallowittodelivermaximumbenefittocompanies,workers,andconsumers?
Thisreport,acollaborationbetweenMcKinseyandSkift,exam-
inesthepotentialforagenticAItounleashthefullvalueofAIin
travel.Basedonanalysisincorporatingsurveysof1,002travelers
and86travelexecutives,thereporttracesthedigitalprologuethat
broughttheindustrytothismoment,detailsagenticAI’strans-
formativecapabilitiesforbothtravelersandtravelcompanies,
andprovidesablueprintfortravelandhospitalityleaderswho
areeagertoacceleratetheirorganizations’agenticAIinitiatives.《
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY6
AI’sgrowingbutnotfullyrealizedroleintravel
W
avesofnewtechnologyhaveperiodicallywashedoverthetravellandscape,leavingitforeveraltered.Inthe1960sand’70s,globaldistributionsystems
madeitpossiblefortravelagentstoaccessreal-timeairlineinventoryandfares,therebyenablingglobalscalabilityandboostingthegrowthofcorporatetravelmanagement.Inthe1990s,onlinetravelagenciesextendedthatsamepowerdirectlytoconsumers,forcingmanytravelagentstoreframetheirroles.Thewidespreadadoptionofsmartphonesinthe2000sledtomoreon-the-godecision-makingfortravelerswhilealsocreatingnewopportunitiesfortravelcompaniestogatheruserdataandpushouttargetedoffers.Otherongoingdevelopments,rangingfromautonomoustaxistoroomservicerobotstovariousforms
ofAI,continuetoreshapetheindustry.
Inrecentyears,AIhasopenednewhorizons.Thetechnologybuildsonmoderndigitaladvances,manyofwhichhavehaddirecteffectsonthetravelsector.Deterministicprogramminglanguagelaidthegroundworkforself-serviceairlinekiosksthatautomatethecheck-inprocess.Diagnosticandpredictiveanalyticshaveallowedhotelstotrackroomturnoverratesandairlinestoanticipateweatherdelays.Machinelearningenableddynamicpricingofticketsandstays.ThesebuildingblocksformthefoundationthatAIisconstructedon.
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY7
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》AI’SGROWINGBUTNOTFULLYREALIZEDROLEINTRAVEL
Exhibit1
Advancesindigitaltechnologyhavetransformedthetravelindustryinthelast~75years
Newestwaveoftheevolution
2010-2015
2010-2020
2000-2010
AgenticAl
2024-pres.
GenerativeAl
2022-pres.
Machinelearning
2012-2020
1.IBMandAmericanAirlines|2.SchipolAirportandKLM|3.E.g.,StarwoodHotels|4.E.g.,Tomorrow.ioandJetBlue|5.E.g.,MedalliaandHilton|6.E.g.,Expedia
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》AI’SGROWINGBUTNOTFULLYREALIZEDROLEINTRAVEL
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY8
AI’sincreasingtravelindustrypresence
AIhasseenacceleratingadoptioninthetravelindustry.Onlyabout4percentofcompaniesintheSkiftTravel200(asubsetofthelargestpubliclytradedtravelcompaniesintheworld)mentionedsomeformofAIintheir2022annualreports.By2024,thathadrisento35percent.
Meanwhile,AI-basedtravelstart-upsareattractingasurgeofventurecapitalinterest.In2023,accordingtoSkifttracking,onlyabout10percentoftravel-industry-relatedventurecapitalfund-ingwenttotravelstart-upsthatprovidedAI-enabledofferings.Bythefirsthalfof2025,thatfigurewas45percent.“Atleast70percentofourportfolioisusingAI,”saysKurienJacob,manag-ingdirectoratHighgateTechnologyVentures,atravel-focusedinvestmentoutfit.“It’sgettingusedinoperations,inengineering,inproduct,andnowit’sbeingbroughttocustomers.”
Sometravelandhospitalitycompaniesseemexcitedabout theopportunitiesthatAIispresenting.Inasurveyof86mostlyUS-basedtravelexecutivesconductedforthisreport,26percent ofrespondentssaythatintroducingAItotheirorganizations hasledtocostreductionsinoperations,30percentsaythatit’s aidingfasterdecision-making,33percentsaythatit’simprov- ingcustomerpersonalization,36percentsaythatit’senabling higher-qualityoutputs,and59percentsaythatit’sincreasing employeeproductivity.Amajorityofrespondentsindicatethat adoptingAIintheirorganizationshasresulted,overthepastthree years,inmorethan6percentannualrevenuegrowthandmore than6percentannualcostsavings.(It’simportanttodistinguish thebroaderdefinitionoftheterm“AI”andthecapabilitiesthatit encompassesfromthenarrowerdefinitionimpliedbytheterm“genAI.”)
“Insomeways,it’simpossibletotracktheabsolutebottom-line impact,butthere’snodoubtweareseeingreallypositivecus- tomerandbusinessoutcomesfromAI,”saysAlexMcGowan,chief operationsandservicedeliveryofficerforCathayPacificAirways.“Forexample,wehadarecenttyphoonthatshutdownflightsfrom 5:00a.m.until6:00p.m.,withmorethan200flightsstopped duringthatperiod.UsingAIandaugmented-decision-making
tools,wewereabletorebuildourscheduleinroughlytwohours,whenhistorically—usingwhiteboardsandspreadsheets—itwouldhaveprobablytakeneighttotenhoursandbeenmuchlessprecise.”
TravelconsumersarealsobecomingmorecomfortablewithAIandareincreasinglyexposedtoAItoolsthatcanenhancetravelexperiences.IntheJune2025SkiftUSTravelTrackerSurvey(whichcollectedresponsesfrommorethan1,000UStravelers),morethanhalfofrespondentsreporthavingusedAI-basedplanningtoolsfortravel.Andinjustthepastyear,useofChatGPTfortravelplanninghasincreasedconsiderably.
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》AI’SGROWINGBUTNOTFULLYREALIZEDROLEINTRAVEL
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY9
Exhibit2
HowfamiliarareyouwithAl-basedtravelplanningtools(e.g,chatGPT,GuideGeek,TripGen)?veryfamiliar-IUsethemregularlyfortravelplanning
36%
Familiar-Ihaveusedthemoccasionally
24%
somewhatfamiliar-I'veheardofthembuthaven'tusedthem
Notfamiliar-Idon'tknowmuchaboutthesetools
15%
Neverheardofthembeforethissurvey
source:USTravelTrackersurvey,conductedbetweenJune3,2025,andJuly5,2025,(N=1002)
Exhibit3
HaveyouusedchatGPTorasimilarAl-basedapptoassistinplanninganyaspectofyourtrip?
20242025
30%
25%
25%
22%
21%
21%
13%
13%
yes,extensivelyyes,occasionally
source:USTravelTrackersurvey,conductedbetweenJune3,2025,andJuly5,2025,(N=1002)
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》AI’SGROWINGBUTNOTFULLYREALIZEDROLEINTRAVEL
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY10
Criticalinformationgetslockedinsidedisparatelegacyinfra-structures,thwartinginteroperability.Thelackofcentralizeddataownershipacrossthetravelecosystemlimitsthenet-workeffectsandfeedbackloopsthattypicallyaccelerateAIperformance.Asaresult,itcanbeexceptionallychallengingfortravelcompaniestotraineffectiveAImodelsortodeliverpersonalized,real-time,AI-poweredexperiencesatscale.
.Travelcompaniestendtofavorinvestmentinhumanintercon-nectioninsteadoftechinnovation.Atthe2025SkiftData+AISummit,ChrisSilcock,presidentofglobalbrandsandcom-mercialservicesforHilton,said,“It’snotanunfairsuggestionthathotelshavebeenbehindthecurveintermsofAIadoption.It’sbecausewehavebeensofocusedontheexperience—thehuman-to-humaninteraction.”
Someofthetravelsector’swarinessregardingAImightbeattributedtotheindustry’sgeneralviewthatitspecializesinservice,nottechnology.Newtechcapabilitiesareoftenseenasenablersbutnotascorebusinesscomponents.Asaresult,techtalentandtechinvestmentcanlagbehind.
Thegoodnewsisthatanewwaveoftechadvancementcouldaddressbothconcerns.Itcouldhelpthesectortoovercomemanydatahurdlesandstrengthensomeofthehumanele-mentsoftravel—whilealsounlockingimportantusecasesandefficiencyimprovements.
ChallengesthathinderAI’sdeploymentintravel
Despiteallthisburgeoningenthusiasmandadoption,however,thetravelandhospitalitysectorsstillappeartolagbehindothersintermsofAImaturity.Thisfinding,suggestedbydiscussionswithindustryleaders,issupportedbyvariousdatapoints.Forinstance,ina2025surveyfromEpsilonDataManagement,11percentoftravelleaderssaythattheirorganizationsdon’tuseAIatall—almostdoubletherateofnonusethatthesurveyobservesinotherindustries.Employmentfiguresalsoindicatethatthetravelindustryhasn’trampedupitstechhiring:USCensusBureaudatarevealsthattravelsuppliers,suchasairlinesandaccommo-dationcompanies,employonly1percentoftheirworkforcesintechroles,andcompaniesinotherindustriestypicallyemploycloserto4percentoftheirworkforcesintechroles.
Travelcompanies’AI-basedeffortshavelargelycenteredoncreatingenterprise-widecopilotsandchatbots,andsucheffortshavescaledquickly.Butforthemostpart,thesemorehorizontalinitiativeshavedelivereddiffuse,hard-to-measuregains.Verticalusecasesthatarefunctionspecifictothetravelsectorcouldbemoretransformative,butthevastmajorityofthesemorefocusedexperimentshaveremainedstuckinpilotmode.
WhyhasthetravelindustryfacedchallengesasitattemptstodivedeeperintoAI?Twopossibilitiesemergeascentralstumblingblocks:
.SiloeddataandincompatiblesystemsmakeusingAImoredifficult.Thetravelindustry(andespeciallyhospitality)ishighlyfragmented,cobbledtogetherinpartfromcountlesssmalltomedium-sizebusinessesspreadacrossnearlyeverycountry.Thisleadstosiloeddatathat’sinconsistentinitsparametersanddifficulttounify.Asingleconsumercouldinteractwithmorethan100differenttravelplatformsorservicesinjustoneyear.Likewise,onetravelcompanycouldhavedataaboutasinglecustomerlodgedwithinadozendifferentoutdateddatasystems.
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY11
Agentic:ThenextchapterinAI’sevolution
njustthetimesincethepublicationofthe
2023McK-
inseyandSkiftreportonAIintravel
,therehavebeensomeremarkableAIinnovations.Perhapschiefamongthese
istheadventofagenticAI,acutting-edgetechnologypoisedtorevolutionizethetravelindustry.AfewfeaturesdistinguishagenticAIfrompreviousformsofAI(includinggenAI):
I
.AgenticAIcanautonomouslymakedecisionsandtaketheinitiativetoaccomplishgoals,usingmultistepreasoningwhileundertakingcomplexactions.
.Toexecutetasks,agenticAIcancallonexternaltools,APIs,andsystems.
.AgenticAIcanstoreandrecalllong-term,structuredmemoriesthattrackcontext,progress,anduserpreferences,allowingittodeeplypersonalizeitsresponsesandtohandlerequestsspreadacrossmultiplesessions.
WhilegenAIhasmostlyplayedareactive,advisoryrole—answer-ingresearchquestionsandofferinghelpfulsuggestionswhenspecificallypromptedtodoso—agenticAItakesafarmoreproactiveposture.AnAIagentcancarryoutacomplicatedtaskendtoendandcanevendirectteamsofotherAIagentstoworktogetherontheproject.Agenticcanmonitorasituation,under-standonitsownwheninterventionisnecessary,andthendeveloparesponsiveplanandenactitwithlittlehumaninvolvement.Itcanalsorememberwhosomeoneisandwhatthey’veneededinthepastandthenincorporatethatunderstandingintothepresent.
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY12
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》AGENTIC:THENEXTCHAPTERINAI’SEVOLUTION
Exhibit4
AgenticAlelevatesexistingAltechnologies
Non-exhaustive
LevelHighLOW
GenAl
primaryfunction
Decision-makingprocess
Adaptability
Memory&Learning
Multi-systemsintegration
Humaninvolvement
●Rulessetbyhumans
scusecasesexamples
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AgenticAI’scapabilitiescouldenableexcitingnewpossibilitiesinalmostanysector.ButwhyisagenticAIespeciallysuitedtodisruptingthetravelindustry?
.Unliketraditionalautomationtoolsthatcanonlyaccessstruc- turedAPIs,agenticAIcannavigateuserinterfacesdirectly, clickingthroughwebsitesandlegacysystemsmuchasa humanwould.Thisenablestheintegrationofinformation infragmentedsituationsthatprevioustechnologiessimply couldn’thandle.Byactingasconnectivetissueinthisway, agenticAIcanretrieveorupdatedataacrosssilos,performmultistepworkflows,and,importantly,savehumansfrom doingtediousinterpretationsbetweendisconnectedsystems.“Intravel,youhaveallthesesystemsthatdon’ttalktoeach other,”saysMarilynMarkham,vicepresidentofengineering andAIstrategyatAmericanExpressGlobalBusinessTravel (AmexGBT).“Humanscansometimesfeellikethey’rehaving tospendtimeactingas‘middleware’thatcallonthevarious applicationsandtransferresultsfromoneovertothenext.Wewanttofreeourteamstofocusoncomplexcustomerqueries,andonmorevaluabletasks.”
.AgenticAItendstoshineinsituationsthatdependonretriev-ingandreasoningacrosstwodifferenttypesofdatasources:structureddatasources(suchasflightschedules,pricingtiers,andbookingrecords)thatarevitalforexecutingactionsandunstructureddatasources(suchassupporttranscripts,customerreviews,andtravelblogs)thatarecrucialforunder-standingnuancedcontext,preferences,andsentiment.Thisisafrequentlyseenblendofcomponentsinthetravelindustry,andagenticAIcaneffortlesslycombinethesedisparateele-mentsbecauseitcanaccessbothtypesofdatadynamically,interprettheminrealtime,andactaccordingly.Thiscanallowend-to-endpersonalization,decision-making,andautomationatscale.
》AGENTIC:THENEXTCHAPTERINAI’SEVOLUTION
.Theidealagenticusecasehasaclearobjectivethatcanonlybeaccomplishedbyusingopen-ended,multistepreasoninganddecision-making.Manytravelindustryusecasesfallintothiscategory.Fewobjectives,forexample,areclearerthanreturningastrandedtravelerbackhome.Tomanageadisruptedtravelitinerary,however—repletewithacanceledflight,unexpecteddelay,andsuddenneedforaccommoda-tion—canrequiremultistepcoordinationacrossavarietyofchannels.AgenticAI,initsfullyrealizedform,couldrebooktheflight,extendthehotelreservation,cancelthecarpickup,andupdateallbilling.
.AgenticAIthriveswhenpresentedwithahighvolumeoftasksthataregenerallyrepetitiveinbasicstructurebutstillrequirepersonalizationbasedonindividualcontextoruser-specificdata.Manyworkflowsintravelandhospitality—forinstance,bookingLondon-to-NewYorktripsforpartnersofalawfirmwithheadquarterslocatedinbothcities—followacon-sistentpatternanddon’tneedtobecompletelyreinventedeachtime,yettheyalsocan’tbesufficientlyhandledusingaone-size-fits-allapproach.
REMAPPINGTRAVELWITHAGENTICAISKIFT+MCKINSEY&COMPANY14
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》AGENTIC:THENEXTCHAPTERINAI’SEVOLUTION
ConsiderthehypotheticalexampleofSally,aLondonpartneratagloballawfirmwhoneedstoflytoNewYorktomeetwithcol-leagues.Hundredsofpartnershavemadethissametripbeforeher,allfollowingthesameroutebookedagainstthesamesetofcompanytravelpolicies.Sally,however,hasafewspecializedrequirements:Shecan’twalklongdistancesandneedsassis-tanceattheairporttogettohergate,shepreferssittinginanaisleairplaneseatwhereshehasmoreelbowroomtowork,shealwaysusesthesameairlineforflightstotheUnitedStatestogainloyaltypoints,shelikeshotelroomswithtwoqueenbedsformorespace,andsheavoidshotelroomsontopfloorsduetoherfearofheights.
Agenticsystemsarewellequippedtodeliveratripsuchasthis,basingtheiractionsoninformationderivedfromcustomerinter-actionsthatrequireadaptive,high-touchengagement.AgenticAIcanconnectfragmentedsystems,combinestructuredandunstructureddata,tweakarepetitivetaskbasedoncontext,andnavigatethetravelindustrymazetoachieveallofSally’sobjectives.Whenfullydevelopedanddeployed,agenticAIcouldcreateapersonalizeditineraryforSallythattailorsthetriptopref-erencesshementionsinachatsession,incorporatespreferencesrememberedfrompreviouschatsorgleanedfromotherdatasources,reflectsupdatedinformationandfeedbackfrommorerecenttripstakenbyotherlawfirmpartners,andalignswithherfirm’slatestpolicies.AgenticcouldthenseamlesslycoordinateacrossmultiplebookingsystemstoensurethatSally’sentiretripcouldbereservedatthepressofabutton.
Butconsumer-facingusecasesaren’ttheonlytravelindustrysituationsinwhichagenticAIcouldthrive.Itcouldalsobeappliedtointernalworkflows.ConsiderthehypotheticalexampleofMiles,ahousekeepingmanageratalargehotelwhojugglesstaffsched-uling,roomreadiness,andunexpectedguestrequests.HeadingintoaweekendwithalargeSaturdaynightweddingplanned,Milesisconcernedaboutkeepingthingsrunningwithoutahitch.
IfahotelhasimplementedanagenticAIsystem,thatsystemcouldautonomouslyanticipateaspikeinlate-checkoutrequestsbasedonbothstructureddata(suchaspatternsofguestsinpreviousreservedweddingblockswho’verequestedlatecheckouts)andunstructureddata(suchasincomingfeedbackfromcurrentguests).AnAIagentcouldsuggestoptimizedstaffingshiftsandcoverageforMilestoapprove,setupcontingencyplansforlatecheckouts,andestablishcoordinationwiththehotel’sbookingsystem,roomstatusdatabase,andpayrollsoftware.Onthedayofthewedding,asguestrequestsrollin,theAIagentcould
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