ssl martin marietta high radius
TRANSCRIPT
Presenters
Susie WestCEO
sharedserviceslink
Elaine NowakDirector,
Product Marketing And ManagementHighRadius
Tammy LindorfDirector, Shared Services
Martin Marietta
• Send me your question early • Use this opportunity to get the answers/info you seek• The sooner you send me the question, the more likely it will be asked• Remember to stay on for Q&A in the last 10 minutes of the session
Questions
• Shared services are evolving from traditional centers for cost-optimization to drivers of value and competitive edge. More and more GPOs are focusing on redefining the value proposition of their shared service centers, by redefining service level agreements, prioritizing talent management, and leveraging digital transformation opportunities.
• Today we explore the next steps for shared services and how Martin Marietta is evolving shared services, why automation is instrumental in the digital future, and their AR automation journey with HighRadius. We explore their AR operational challenges at Martin Marietta before automation, and how they overcame it to achieve faster customer onboarding and 85%+ automatic cash-posting rate
• We will also dive into the evolution of technology in finance: From cloud to AI, and now chatbots and digital assistants-- do not fall behind in the race of digital transformation
Context
Agenda
How Martin Marietta Achieved Faster Customer Onboarding & 85%+ Automatic Cash-Posting Rate
Order-To-Cash 2022: Next-Gen Technologies For The New Wave Of Digital Transformation
About HighRadius
Q&A
1
2
3
4
5
The Next Step For Your Shared Services Maturity
01
PollQuestion
WhatisyourplanforyourA/RSharedServicesIn2021?
A. Leverageourcurrentmodeltodrivefurthercostoptimization
B. FocusonrecoveryfromCOVID-19
C. Leverageourcurrentmodeltoprovidehighervalueandcompetitiveedge
D. Weareyettocreateafixedplanfor2021
10
A/RSharedServicesMaturity:WhichIsTheNextModelOfOperation?
Value-CreationModel
Cost-OptimizationModel
What’sNext?
11
MovingToTheNextStage– WhatShouldBeDone
Digitaltransformation:ThroughPeople,ProcessandTechnologyevolutionisthekey
DIGITALTRANSFORMATION
PeopleManagementWorkforceevolutionasperthejobrequirements
ProcessManagementStandardizedbest-in-classprocessestiedtotheorganizationalvision
TechnologyManagementNext-generationtechnologycapabilitiesthatsetyouapartinthemarket
12
1.CostOptimizeA/RSharedServiceCenters
People,ProcessandTechnologyarecomponentsofatraditionalcostoptimizingSSC
TaskEnablers
SiloedProcesses
RoboticProcessAutomation
COSTREDUCTION
13
2.ValueCreatingA/RSharedServiceCenters
Howtheseleversneedtoevolveinordertodeliveradditionalvaluetothebusiness
VALUECREATION
StrategicThinkers
IntegratedProcesses
ArtificialIntelligence
14
3.CompetitiveEdgeDeliveringA/RSharedServiceCenters
TheNextStep?Whatifyoursharedservicecentercouldprovideyoucompetitiveedgeinthemarket
COMPETITIVEEDGE
SelfMotivatedPerformers
Robust&ScalableProcesses
AI-PoweredDigitalAssistants
15
SharedServicesLeaders’ExpectationsFromTechnologyInA/R
Toachievethevisionofcompetitiveedge,technologiesshouldbeabletoenable:
BettervisibilityacrossbusinessunitswithERP-agnostictechnology
Minimaltransactionalprocesseswithautomationallowingtofocusonstrategicinitiatives
Positivecustomerexperiencethroughresult-deliveryinatime-sensitiveframe
17
AboutMartinMarietta
• MartinMariettaisanAmerica-basedcompanyandaleadingsupplierofbuildingmaterials,includingaggregates,cement,readymixedconcreteandasphalt
• IsamemberofS&P500Index
• Hasanetworkofover400operationsspanning27states,CanadaandtheBahamas• Hasdedicatedteamsthatsupplynecessaryresourcesforbuildingsolidfoundationsonwhichour
communitiesthrive
18
SharedServicesEnvironmentatMartinMarietta
AdoptedSharedServicesmodel
in2015withagoaltoeffectively
integrateacquisitionsandwork
towardsourmissiontobecomea
World-ClassOrganization
19
Order-To-CashLandscapeAtMartinMarietta
1EDIFileLockboxesAt3DifferentBanks
Divisionstructurebasedonregionsofthecountry
CashApplicationandCreditReferencesarehandledbySharesServices
CreditandCollectionperformedwithinDivisions
20
ChallengesInTheOrder-To-CashLandscape
• EachDivisionhaditsownprocesswhichcausesinconsistencyforsharedcustomers
• CustomersetupwasmanualbasedonaformsubmittedtoMasterDatafromthecreditmanagers
• Obtainingauditsupportfromthefieldtoprovecreditanalysiswasinconsistentanddifficult
CreditandCollection!
CashPostingRateBeforeAutomation:
ForEDI
ForLockboxes
49%
74%
02
PollQuestion
WhatstageofA/Rdigitaltransformationisyourorganizationcurrentlyin?
A. PlanningStage- Decidingproductandvendor
B. DeploymentStage- Fixingintegrationsandtestingthesystem
C. Post-GoLiveStage- Evaluatingthenewsystem
D. Havenotautomatedyet
E. Automatedaverylongtimeago
23
ChallengesAffectingTheA/RDigitalTransformationProject
ForPeopleManagement
• Transitionfrompeople‘keyingininformation’toamorevalue-addedserviceofanalyzingandoptimizing
• Trackproductivity
!
!
!
ForProcessOptimization
• Understandpainpointsandidentifytimespentoneveryprocessthroughbettermetrics
• Standardizeacrossdepartmentsanddivisions
ForTechnologyDevelopment
• Movefrom‘manual’or‘offline’processandlettechnologydothework
24
OvercomingTheA/RDigitalTransformationChallenge:OurStrategy
StagesofadigitaltransformationprojectatMartinMarietta
Identifyingthepainpoints
DefiningExpectationFromTheSolution&
Vendor
GettingStakeholderBuy-In
CreatingASolution
DeploymentStrategy
FosteringChangeManagement
25
IdentifyingThePainPointsInOurA/R
OvercomingTheA/RDigitalTransformationChallenge:OurStrategy
Inconsistentcreditcalculation
ManualrecordkeepingandCustomersetup
CreditManagement CashApplication
Mis-keyingbythebankcausingmisapplication
Themanualapplicationprocessforcustomerspayingbyticketsandorstatements
26
DefiningExpectationsFromTheA/RSolution
OvercomingTheA/RDigitalTransformationChallenge:OurStrategy
1. Easiercustomerapplicationformcompletion
2. Moresupportbeingmaintainedbythecreditmanagers
3. Standardizedratingprocedure
4. Standardizedcreditapprovalauthority
5. Automatedcustomersetup
CreditManagement
27
CashApplication
1. IncreasedAccuracy
• OCRkeepsthebankkeyinginerrorstoaminimal• AutomationsystemmatchesopenA/Rwithincreasedaccuracy
2. ImprovedEfficiency
• Otherthaninvoices,itallowsconfigurationtomatchoncriterialikestatementsandbillsoflading
3. IncreasedCostSavings
• Automationsystemcostslessthanthekeyingfees
• Helpedreducetheheadcount
DefiningExpectationsFromTheA/RSolution
OvercomingTheA/RDigitalTransformationChallenge:OurStrategy
28
DefiningExpectationsFromTheA/RVendor
OvercomingTheA/RDigitalTransformationChallenge:OurStrategy
Solutionwasscalableandcouldbeeasilyintegrated
Includedmultipleofferings– Credit,CashApplication,ElectronicInvoicePresentmentandPayment,andCollection
Commitmenttosystemimprovements
HighRadiuswaschosenbasedonthefollowingconsiderations:
CreditCloud CashApplicationCloud
CustomerrecommendationsatHighRadius AnnualConference- Radiance
29
GettingStakeholderBuy-In
OvercomingTheA/RDigitalTransformationChallenge:OurStrategy
PresentABusinessCase
WiththeSharedServicesgoaltostandardizeandfindefficiencies,managementwasalreadyopentoanyimprovementsuggestions,soitwasveryeasytoobtainapproval
Changeprovidedincreasedaccuracy&efficiencyaswellasacostsavings
Deploymentplanchangedfromdesigntoactualimplementation.EndedupgoingwithastaggeredimplementationplanwithCreditfirst,followedbyCashApplication.
KeywasensuringITengagementandavailability.Hadtobeflexiblebecauseofcompetingprojects
CreatingASolutionDeploymentStrategy
30
Engagedtheteamtounderstandtheirpainpointsandwantsforanewsystem
Includedtheteaminthedesignandtesting
Alignedstaffreductionwithretirementsothattherewasnotconcernsaboutjobsecurity
Solicitedfeedbackandimplementedtheirsuggestionswheneverpossible
Changemanagementisthekeytomanagingthe“people”aspectofautomation:
FosteringChangeManagement
Howtogetyourteamsalignedwiththeideaofautomation
31
32
ResultsAchievedByAutomatingCreditandCashApplicationFunctions
72%49%
EDIHitRateAfterAutomation
84%74%
LockboxesHitRateAfterAutomation
Theremainingdifferenceismadeupof:
• 1%non-A/Rrelatedreceipts• 18%instancesofnoremitorinvalid
informationontheremittance
• 9%undergoingrelatedsystemimprovements
Theremainingdifferenceismadeupof:
• 5%non-A/Rrelatedreceipts• 8%instancesofnoremitorinvalid
informationontheremittance
• 3%undergoingrelatedsystemimprovements
ExploringFutureOpportunitiesAtMartinMarietta
CollectionsManagement
1. Wewantasystemfortrackingwhatthecollectorsaredoing,toseetheirnotesandensuretheyarefocusingontherightcustomers
2. Wewanttohaveabetterwaytocontrolandinteractwithoursharedcustomersacrossdivisionstoavoidconfusion
33
ExploringFutureOpportunitiesAtMartinMarietta
BillingandPayments
1. Wewantasolutiontotrackinvoicespresentment
2. Wewanttobeabletooffermoreelectronicinvoicingoptionsforourcustomers
3. Wewantacloudsolutionthatcanactasabackendprocessorforthepaymentscomingonourcustomerportal.This willhelpspeeduptheprocessingtime
34
RPAVsAIForYourOrder-To-Cash
RPA AIVs.
Needsregularhumanintervention Functionswithoutregularhumanintervention
Mimicsthehumanthoughtprocessbasedonpatterns
Processesdatafedinastructured,semi-structuredorevenunstructuredform
Usesprobabilitiesandvariables
Evolveswithexperienceandexposuretodata
Simplymimicstheuser’sactionsastrained
Processesdatafedinastructuredform
Operatesinadefiniteandstaticenvironment
Runssolelyonrules-basedalgorithms
36
RPAForYourOrder-To-Cash
Expectation RealityVs.
RPAonlyautomatestaskswhichdonotrequirecreativity,emotionalintelligence,orcomplexdecisionstrategies
RPAwillfailwherethereareexceptions,unexpectedevents,oranyparticularcases
RPAwillautomatecomplextasks
RPAwillrun24/7withnostops,nobreaks,nosleepingtime,novacations,without
forgetting,omitting,misunderstanding,orunderestimatingerrorsandwithout
encounteringanyproblems
37
ArtificialIntelligenceBenefitsInASharedServicesEnvironment
ConsolidatedcreditandcollectionsprofileforacustomerpresentacrossdifferentERPsandgeographies
Singleresourcereachingouttoacustomer- noduplicationofeffort
Judiciousutilizationofresourcesmightmakeitpossibleforyoutoallocatethemtodifferentjobroles
Increasedcollectionproductivityandreducedcost– Credit/ARdepartmentsareservice-providerstothebusiness
LeveragingAIforimprovedcollectionsinasharedservicesenvironment
38
UnderstandingAI-PoweredDigitalAssistantsforA/R
20%ofanA/Rmanager’stimeislostinfindingthereportstomonitor
teamperformance
37%A/Rstaffproductivityislostwhilesimplylookingforcustomerrelated
dataandinvoiceinformation
AI-enableddigitalassistantsempowerARteamswith:
§ Quickcustomerinformation
§ Real-timedataanalysis
§ Futurepredictionsforbettercustomerservice
40
HowDigitalAssistantsAssistA/RTeams– WorkExperience
ImprovedUserExperience
CustomerInteractionTranscription
CustomerIntentAnalysis
IntelligentSuggestedActions
42
HowDigitalAssistantsAssistA/RTeams– CustomerInteraction
ImprovedUserExperience
CustomerInteractionTranscription
CustomerIntentAnalysis
IntelligentSuggestedActions
45
HowDigitalAssistantsAssistA/RTeams– IntelligentSuggestioned
Actions
ImprovedUserExperience
CustomerInteractionTranscription
CustomerIntentAnalysis
IntelligentSuggestedActions
47
HowDigitalAssistantsAssistA/RTeams– IntentAnalysis
ImprovedUserExperience
CustomerInteractionTranscription
CustomerIntentAnalysis
IntelligentSuggestedActions
51
TheFuturewithFreeda™
……Andhenceprovedtobeatrustedcolleagueforyouranalysts
52
SentimentAnalysisToUnderstandCustomerIntent
• Suggestreal-timequestionstoaskyourcustomeroncalls
• Providesuggestionsonhowtoanswercustomerquestions
• Predicttheprobablequestions thatyourcustomermightask
• Assigncustomerstodifferentsentimentbuckets- positive,negativeandneutral
• Usingvoiceandtonetodetermineintent- willthecustomerkeepapromiseornot,thusallowingyouranalyststotakenecessaryactionproactively
Summary:CompetitiveEdgeDeliveringSharedServiceModel
Best-In-ClassTechnologysuchasAI-PoweredDigitalAssistants
World-ClassUserExperience
CompetitiveEdge
53
03
PollQuestion
WouldyouliketoknowmoreaboutA/RautomationwithAI-Powereddigitalassistants?
A. Yes,Iwouldliketospeaktoasolutionexpert
B. Yes,Iwouldliketoreceivesomematerialsforresearchpurpose
C. Yes,butIwouldliketoconnectoncewearebackintheoffice
D. Notatthemoment
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