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WEBINAR

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

Your copy of the slides

The slides will be available after the webinar at

www.sharespace.digital

• 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

HowMartinMariettaIsFuture-ProofingA/RSharedServicesWithNext-GenTechnology

October20,2020

TheNextStepForYourSharedServicesMaturity

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

HowMartinMariettaAchievedFasterCustomerOnboarding&

85%+AutomaticCash-PostingRate

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%

SolutionNeeded:DigitalTransformationOfOrder-To-Cash

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

Order-To-Cash2022:Next-GenTechnologiesForTheNewWaveOfDigitalTransformation

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

Next-GenTechnologyForYourA/R:AI-PoweredDigitalAssistants

39

UnderstandingAI-PoweredDigitalAssistantsforA/R

20%ofanA/Rmanager’stimeislostinfindingthereportstomonitor

teamperformance

37%A/Rstaffproductivityislostwhilesimplylookingforcustomerrelated

dataandinvoiceinformation

AI-enableddigitalassistantsempowerARteamswith:

§ Quickcustomerinformation

§ Real-timedataanalysis

§ Futurepredictionsforbettercustomerservice

40

SeeLiveInAction:Freeda,AnAI-PoweredDigitalAssistantFromHighRadius

41

HowDigitalAssistantsAssistA/RTeams– WorkExperience

ImprovedUserExperience

CustomerInteractionTranscription

CustomerIntentAnalysis

IntelligentSuggestedActions

42

43

ACollector’sDailyWorkboardWithFreeda

43

44

ACollector’sCallWorkboardWithFreeda

44

HowDigitalAssistantsAssistA/RTeams– CustomerInteraction

ImprovedUserExperience

CustomerInteractionTranscription

CustomerIntentAnalysis

IntelligentSuggestedActions

45

46

Live Call Transcription

46

HowDigitalAssistantsAssistA/RTeams– IntelligentSuggestioned

Actions

ImprovedUserExperience

CustomerInteractionTranscription

CustomerIntentAnalysis

IntelligentSuggestedActions

47

48

Creationofsuggestedactionsfromthecapturednotes

48

49

Creationofsuggestedactionsfromthecapturednotes

49

50

Followupitemsandrecommendationsforanalyststoapprove

50

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

About HighRadius

2006

On-PremiseSolutions

2010

CloudSolutions

2014

Artificial Intelligence

2019

AutonomousSystems

2017

StrategicInvestments

Trusted By200+ Fortune 1000

Companies

$ 1 Trillion +transactions processed annually

2020

PERFORMANCE

A/R Suite for Mid-Size Businesses

Series B | $1b+ Valuation

New Products & IP

Credit EIPP Cash App Deductions Collections

Integrated Receivables

Treasury Management

Cash Forecasting

Cash Management

Bank Reconciliation

57

Partial List of Customers

58

1000+Finance Transformation Projects

6 continents | 45 countries

Partial List of Customers

Ireland

SwedenNetherlands

Luxembourg

Thailand

ChinaSouth Korea

Canada

United States

Mexico

Costa Rica

Brazil

Argentina

Russia

Japan

South Africa

MalaysiaSingapore

Philippines

Taiwan

Indonesia

Australia

New Zealand

Finland

United Kingdom

Norway

Denmark

PolandGermany

Czech Republic

RomaniaSwitzerland

Italy

France

Portugal

Spain

HEADQUARTERHouston

India

Amsterdam

London

Frankfurt

59

Regional Offices● Houston, TX (Global Headquated)● London, UK

Frankfurt, DE● Amsterdam, NL● Hyderabad, India

1000+ Implementations6 continents | 45 countries

Implementations

AmsterdamLondon

Frankfurt

EMEA Regional Offices

Global Footprint

Q&A

NextFromsharedserviceslink

www.sharespace.digital

January23rdJanuary16th January30th