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© Royal Bank of Canada 2017
HowanAIPoweredConversationalInterfaceAlteredtheRelationshipWithOurCustomers
September19,2017
LucyVillaflores&KennethShiuRoyalBankofCanada
© Royal Bank of Canada 2017 2
CompanyProfile
Ø Largest bank in Canada
Ø 6th Largest retail bank by assets in North America
Ø +16 million clients and has 80,000 employees worldwide
Ø Corporate headquarters are located in Toronto, Ontario
Ø Founded in 1864 in Halifax, Nova Scotia
Ø Over 1,200 branches in Canada and a growing footprint in the U.S.
Ø Over 120 branches across seventeen countries in the Caribbean
© Royal Bank of Canada 2017 4
AdviceCentreHighlights
55 million self-serve IVR transaction per year
Supporting 13,500 Agent Seats
Expanded 600 home based advisors
20+ terabytes of structured and unstructured data
5.6 million proactive contacts per year
#1 JD Power, Ipsos & Dalbar
24x7x365 Customer Support
100 Million Incoming Calls Per year
MissionCriticalplatformservingmillionsofclientseachyear
© Royal Bank of Canada 2017 5
CustomerServiceOverview
AvailableChannelsandBusinessLinesServed
Call Center Chat Email Video
© Royal Bank of Canada 2017 6
WhyConversational?
Oldtechnologiesstoodbetweenusandahappycustomer
Ø Limitedself-serviceavailabilityandusage
Ø Lengthyaveragehandlingtimes
Technologyshouldbeinvisibletothecustomer!
NewConversationalStrategyObjective:SEAMLESS HUMAN-LIKE COMMUNICATION USING THE MOST HUMAN-FRIENDLY INTERFACE EVER INVENTED — V O I C E
DTMF IVR MENU TREE
Ø CustomersgetlostinIVR
Ø ManymisroutedcallsandAgent-to-Agenttransfers Ø Agentscosts5timesmorethanIVR
© Royal Bank of Canada 2017 7
GettingStartedwithNLU
RaninitialRFPforNLU
2014
Metnewvendorforfirsttime
JUN.15
CreatedCXLabDemo
SEPT.15 MAR.16
StartedCustomer-FacingPilotbuildforCards-IVR
AUG.16 JAN.17
GreenlightforFullNLU
Transformation
Our Journey to Conversational Virtual Assistance
FEB.2017
BusinessCaseApproved
RemainingLOB’s
NLUGoLive
OCT.17
Cards-IVRPilotGoLive
© Royal Bank of Canada 2017 8
ProvingtheTechnologywithaPilot
SuccessfulConversationalPilotforCreditCardServiceLineü Classifiescustomerrequestsinto+130differentintentcategoriesandsub-categoriesü Currentlydelivers10end-to-endConversationalSelf-ServicesforCardsIVR
TrackingResultswithBi-weeklySupervisedReports
BusinessKPI’sTechnicalKPI’s
TechnicalKPI’sØ AuthenticationinIVR
Ø Self-serviceAutomation&Containment
Ø Agent-to-AgentTransfers
Ø IVRTransferstoAdvisors
Ø SemanticAccuracy(CISR)
Ø TaskCompletionRate(TCR)
© Royal Bank of Canada 2017 10
ConversationalPerformanceandSuccessMetrics
“SemanticAccuracy”— ConceptIdentificationSuccessRate(CISR)CISRillustratestheextenttowhichthesystemsuccessfullyextractedthecorrectmeaningoutofthe
individualcallerutterances(in%)iscalculatedby:
=CorrectlyUnderstoodUtterances*100/TotalStepsbyCooperativeUsers
“SuccessfulCalls”— TaskCompletionRate(TCR)TCRrepresentsthepercentageofcallswhereDiaManT®successfullyservicedthecustomer’s
requestbycorrectlyroutingtothecorrectadvisororprovidingself-service(in%)iscalculatedby:
=SuccessfullyCompletedCalls*100/TotalCallsByCooperativeUsers
IndustryStandardNLUKPI’smeasuredbi-weeklywithsupervisedreports
© Royal Bank of Canada 2017 11
PilotResults
Within3monthsofPilotoperationthesystemreached
93%SemanticAccuracy& 86%TaskCompletionAUTHENTICATION SUCCESS
increased from44%→71.5%
WORD ERROR RATEdecreased from18%→5.6%
SEMANTIC ACCURACYincreased from80.6% →93.17%
ImprovementofmetricsCONTINUESaftertransitionfrompilottofullproductionoperation!
64.00%
66.00%
68.00%
70.00%
72.00%
74.00%
Aug-16 Oct-16 Nov-16 Jan-17 Mar-17 Apr-17 Jun-17 Aug-17
IVR Transfers
IVRTRANSFERSdecreasedfrom73%→65%
© Royal Bank of Canada 2017 12
BusinessBenefits
Double digit increase in successful completion of self-service
Increased Call Capacity (i.e. same amount of call volume with fewer ports required than old system)
Increased Client Satisfaction
Discovery of new convenient services to offer our clients
OperationalImprovements
© Royal Bank of Canada 2017 13
ClientLensonNewAIVirtualAssistant
Lessthan1%negativefeedback(sampleof1.45Millioncalls)50%ofcomplaintsrelatedtoissuesthatcanreadilybeimprovedwithfurthertuning,i.e.“didnotunderstandmyrequestcorrectly”
VoiceoftheCustomerFilters
© Royal Bank of Canada 2017 14
LessonsLearned
ü Openthetapaswideaspossiblefromthestart
ü KPIImprovement=ContinuousTrainingandTuning=Data
ü NLU(AI)testingmethodologyisnotthenormalwayQAengineersthink
ü Thereareabillionwayspeopleaskforthesamething– semantictuningiskey
ü AdheretostandardhumancommunicationprotocolwithVUIdesign
ü SelectingproperVoiceTalentisextremelyimportantforconversationalfeeling
© Royal Bank of Canada 2017 15
Being open and able to try new technologies, such as Chatbotswith the same platform , without need for new integrations.
Importance of Open Architecture
PLUG INS
Our customers want to have access to automated self-services using alternative channels of communication; SMS, Web Chat, Whatsapp, Facebook messenger and email. Our Dialogue manager needs to be Omni-channel if we are to continue improving.
Omni-Channel Strategy
MULTI CHANNEL
All customer interactions with new vendor NLU system produce big data that is providing us with a priceless repository of knowledge.
The Real Value of Data
INSIGHT
22
We discovered a lot about what our customers really wanted, and what new services need to be developed in the call center for the future.
SMS WEB CHAT WHATSAPP FACEBOOK
REAL TIMEVOICE BIOMETRICS
ANALYTICS
KeyDiscoveries
© Royal Bank of Canada 2017 16
ExtendingParleyApplicationtoDigitalChannels
DeployingOneApplicationforConversationalNLUSelf-ServiceonDigitalChannels
Channels
Media Voice Voice, Text, GUI Text, GUI Voice, Text Voice, Text, GUI
Phone Mobile App Online Whatsapp Facebook
Text
SMS
DesignandBuildVAApplicationOnce,andDeployonMultipleChannels
OptimizedInteractionswithVoice,Text,GUI&RichInteractiveMedia