版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進行舉報或認領(lǐng)
文檔簡介
BuildingaSmarterSupplyChain
ThepowerofAIandBlockchain
todrivegreatersupplychainvisibilityandmitigatedisruptions
BuildingaSmarterSupplyChain
ThepowerofAIandBlockchaintodrivegreatersupplychainvisibilityandmitigatedisruptions
Theglobal,digitaleconomyisradicallyreinventingbusiness.Forleadersacrossindustries,it’snotjustthepaceofbusinessthat’schanged–it’severythingfromcustomerexpectationstocompetitivelandscapes.
87percentofCSCOssayitisextremelydifficulttopredictandmanagedisruptions
AccordingtoIDC,33percentofallmanufacturingandretailcompanieswillbedisruptedbydigitally-enabledcompetitorswithinthenextthreeyears.1
Todaymorethanever,businessesmustevolvetostaycompetitive.Savvyleadersarelookingtotheirsupplychainstodotheheavylifting,drivingdifferentiationthatimpactsquality,delivery,costs,customersatisfactionandmore.
CSCOscitealackofvisibilityas
thekeyhurdleinmitigatingdisruptions:
Infact,84percentofCSCOscitelackofvisibilityastheirbiggestchallenge
Yet,mostbusinessesareoperatingwithsupplychainsystemsbuiltinadifferentera.Theystruggletomakesenseofanoverwhelmingamountofdatascatteredacrossdifferentprocesses,internalandexternalsources,andsiloedsystems.Theystrugglewithvisibility,andwithconnectingandexchangingcriticalinformationacrossanincreasinglycomplexecosystemofpartnersandsuppliers.
Lessthan10%oftoday’ssupplychaindataiseffectivelyused,andmostcompaniesarevirtuallyblindtothe80%ofdatathatisdarkorunstructured.Withtheselimitations,itisdifficulttooptimizesupplychainoperations–andthebusinessisexposedtounnecessarydisruptions,delaysandrisks,aswellasincreasedcosts.
1. TheThinkingSupplyChain,IDC,March2017
Page2 BuildingaSmarterSupplyChain
ANewEraofSupplyChainVisibility
“AIandblockchainaretransformativetechnologieswhichpromisetochangethewaybusinessesandindustriesoperate,particularlyintheirmanagementofsupplychainandabilitytoadaptbasedondemand.”
—JeanetteBarlow,VicePresident,OfferingManagement&Strategy,IBMSterling
Westandatasignificantinflectionpointintermsofdisruptivetechnologies.AI,Blockchain,theCloud,DigitalBusinessNetworksandIoTholdincrediblepotentialtoradicallytransformbusinessandthesupplychain.
Forexample,AIcanrapidlyandcomprehensivelyread,understandandcorrelatedataatincrediblescaleandspeed.It’sagame-changerincapturingandunderstandingallthedataavailabletoyourenterprise–andthencuttingthroughthedata“noise”toprovidereal-timeanalysisandactionableinsights.WithAI,youcanexpandtheuniverseofvaluabledatasourcesavailabletoyourenterprise,andincreasetheusefulnessofthat
data.
By2021,one-thirdofmanufacturersandretailerswillbetrackinggoodsusingblockchain-IDC
Blockchainisideallysuitedtolargenetworksofdisparatebusinesspartners.Byprovidingasingleversionofthetruththroughasharedledger,blockchainincreasestrustand
efficienciesacrossthenetwork,whichiscrucialineliminatingandresolvingdisruptionsanddisputes.Withblockchain,transactionrecordsareimmutable(ortamperproof)andsecure,agreeduponbyallpartiesandeasilyreferenceable.Italsocreatesasharedaudittrailforusebyeveryoneinthepartnerecosystem.
Bytheendof2020,one-thirdofallmanufacturingsupplychainswillbeusinganalytics-drivencognitivecapabilities,thusincreasingcostefficiencyby10%andserviceperformanceby5%
Together,AIandBlockchain,EmpowertheSupplyChainto:
Gainend-to-endsupplychainvisibilityacrosssystemsanddatasources
Retrieveandcorrelaterelevanttransactionaldata90%fastertogaincriticalinsights
Improvecollaboration,gainefficienciesandreducecosts
Reducetimetovaluebyatleast85%
Proactivelypredictandmitigatedisruptions
Reducemitigationtimefromdaystominutes
PlanandarchitectforthefuturewithAIandblockchain
BuildontopofcurrentITinvestmentsandrealizevaluequickly
Page3 BuildingaSmarterSupplyChain
FoundationsforBuildingaSmarterSupplyChain
Asmartersupplychain,poweredbyAIandblockchain,providesgreatervisibilityandinsightsintotheend-to-endsupplychain–includingthetransactionallifecycleandpartnerecosystem.ItleveragesthepowerofAItoconnectandcorrelatedatafromdisperseanddisparatesystemsandsources,andsortsthroughdataoverloadtoprovidenewinsightsandrelevantalerts.Itcomplementsandelevatesexistingsystemsandinvestments.
AIcanalsohelpyouproactivelypredict,assessandmitigatedisruptionsandrisks.Asmartersupplychainthatleveragesthistechnologybuildssignificantlymoreresiliencyandresponsiveness.
Leadingcompaniesarelearningfirsthandhowthesedisruptivetechnologiesenableimprovedefficiencyandreducedcosts.Theyrepresentaneweraofsupplychainmanagement,complementingandelevatingexistingsolutionsacrossplanning,sourcing,inventory,fulfillment,logisticsandsupplyassurance.
WhenyoucombineAIandblockchain,theimpactisexponential.Supplychainsolutionscanembedthesetechnologiesinmeaningfulways,suchasto
driveimprovedinsightsandusabilityofthevastdataaffectingsupplychainorganizations.Fromcorrelationandanomalydetectioninbusinesstransactions,togaininginsightsbytappingintointernalandexternaldatasources,withthesetechnologiesorganizationscanproactivelygetaheadofevents.WhenAIandblockchainarecombinedtheycanenableapowerfulplatformthatprovidesbothasourceofshared,immutabledataforsuppliersandpartners–withthecapabilitytoimmediatelyidentifytradingpartnerbehaviorsandevents.
Thecompaniesreferenced[below]inthesecasestudiesareallearlyleadersinimplementingAIandblockchain.Allofthemsoughttobethedisruptorintheirindustry,ratherthanbedisrupted.Theyeachwereabletobuild,withthehelpofIBM,capabilitiesleveragingtheirexistingsystemsandapplicationstodriveimmediatevalueinspecificusecasesprioritizedbythebusiness.
GainEnd-to-EndVisibility
Illuminatethe80%ofdatathatisdarkandunstructured
Quicklycorrelateandunderstanddatafromacrossdisparatesystems
Sortthroughdataoverloadandgainnewinsights
Establishsharedvisibilitywithpartnersandkeysuppliers
MitigateDisruptionsandRisks
Proactivelypredict,assessandmitigatedisruptionsandrisks
Reducedisruptionmitigationtimeandrelatedcosts
Retainknowledgeandbestpracticesforfuturereference
HelpcutdisruptionsinhalfwithAI-enabledsmart-alertsandpredictivecapabilities
Page4 BuildingaSmarterSupplyChain
Page
PAGE
5
BuildingaSmarterSupplyChain
Fortune500CompanyLeveragesAIforGreaterVisibility,ImprovedOrderManagement
Aleadingindustrialautomationcompanylackedvisibilityintoitsend-to-endsupplychain–andspecificallyintoinboundsupplydeliveriesanddelays.Thismadeitdifficulttoeffectivelymanagecomplexoutboundordersandmeetcustomershippingandbundlingpreferences.ThecompanycapitalizedonAItoprovideaconnectedviewacrosstheirsupplychainandgaingreatervisibility
intomulti-componentorders.IBM’sAIsolutionhelpedthecompanyeffectivelymanagedataoverload,providingalertsforlate-deliveriesaffectinganycomponentinabundledorder.Inashorttime,thecompanyquicklytrainedtheAIsolutiontoassessorderstatusandfinancialrisk,soissuescouldbeprioritizedandresolvedbeforetheyimpactedcustomerdelivery.TheyalsousedAItosortthroughunstructureddatafromexternalnewsandsocialmediafeedstogetabetterunderstandingofmarketandsupplychangesthatcouldleadtodelays.Theresult?Clearvisibilitytomanagecomplexcustomerordersandsignificantlyimprovedorderdeliveryandquality.
“WhatyoujustsawAIdoinsecondstypicallytakesmehoursforeachquery...hugetimesavingsopportunity.”
DataAnalyticsLeader,Fortune500IndustrialAutomationCompany
BlockchainDrivesBigPharmaCompany’sCollaborationwithPartners
Aglobalpharmaceuticalcompanyhadlimitedvisibilityacrosstheirpartnerecosystem,whichledtoinefficienciesinmeetingcustomerdemand.Theyinteractedandworkedwithatleast20intermediariestoobtainandtransportsuppliesandproductstomeetcustomerdemand.Eventhoughblockchainisinitsinfancy,thecompanybeganexploringhowtoapplythetechnologytokeeptradingpartners
onthesamepageanddrivecollaboration.Theyestablishedasharedledgerforallpermissionedtradingpartnerstoprovideaccesstotransactionaldatainrealtime.TheyalsoplantoleverageIoT-basedshipmenttrackingdatatoallowpartnerstomonitorthelocationandconditionofshipments.Withablockchainnetwork,thepharmaceuticalcompanyanditstradingpartnerscanestablishashared,singleversionofthetruth–fromorderinceptionthroughfinaldelivery.Thecompanyexpectsthistoimprovecollaborationandeliminateblindspots,uncertaintyandinefficienciesacrosstheirpartnernetworkandsupplychain.
MasterLockUnlocksBusinessTransactionIntelligencewithAI
MasterLock,acompanythatdevelopsandmanufacturessecurityproducts,wantedtoprovideitsinternalbusinessuserswithself-serviceaccesstoreal-timedataabouttransactionstobettersupportcustomers,suppliersandfinanceprojects.ThecompanypartneredwithIBMtoimplementanAI-powered,BusinessTransactionIntelligencesolutioncombinedwiththeirIBMSterlingSupplyChainBusinessNetwork.Ultimately,MasterLocknotonlyachievedtheexpectedresultsofenablinguserstomoreeasilyfindandtrackbusinesstransactions,theywerealsoabletoquicklyidentifyandrectifyinefficienciesintechnicalEDIprocessingwithpartners.
“BusinessTransactionIntelligencewillallowourCustomerServiceandFinanceteamstoeasilytrackanorderfrominceptiontocash.Itwillallowthemtoperformtheirdutiesinamuchmoreefficientmanner.”
—ConnieRekau,EDIManager,TheMasterLockCompany
LenovoLeveragesAIandBlockchainforSupplyChainTransformation
Lenovo,aglobaltechnologyandmanufacturingleader,wantedtoestablishgreatervisibilityacrosssystemsanddatasourcestominimizedisruptionsandimprovecustomerordermanagement.TheywantedtouseAItoconnectdisparatesourcesofdataandgaingreaterinsightsintotopcustomers–andtocorrelatedatafromothersystemswiththeirordermanagementsystemstoimprovedeliveryandcustomersatisfaction.Injustsixweeks,IBMdemonstratedaproofofconceptforAIapplicationusingtheirowndata–andstarteddowntheroadtogreatervisibilityandreducingdisruptions.
“IBMSupplyChainInsightshelpsorganizationsleveragethepowerofArtificialIntelligencetogaingreatervisibilityandpredictiveinsightsacrossthesupplychain.Ultimately,thatvisibilityandinsightcanhelpdriveaction,efficiencyandincrementalrevenue.”
–BobbyBernard,GlobalProcurementandSupplyChainExecutive,Lenovo
AutomotiveManufacturerFocusesonCostReductions
Amajorautomotivemanufacturerwantedtoreduceinventorycostscausedbyhighsafetystocklevels.Toachievetheirgoal,theyneededgreaterdataaccuracyandbetterinsightintowhat’shappeningduringtransport.ByleveragingAIandIoTdatainshippingcontainers,theycannowpredictlatearrivalsbasedonrouteperformance,trends,carrierperformance,andweather.TheyalsousedAItoeffectivelymanagedataoverloadandgeneratesmartalertsbasedonsensitivitythresholds.WithAI,theyoptimizedinventorydowntotheshippingcontainerlevel,realizedfasterresolutionofeventsimpactingtimedeliveryofparts,improvedpredictionofdelays,andsignificantlyreducedneedforsafetystocks.
“WearespendinghundredsofmillionsonunnecessaryinventoryandseeAIasthebestpathtogeneratetheinsightstocreateaseamlessprocesstoeliminatewaste.”
SeniorSupplyChainExecutive,MajorAutomotiveManufacturer
IBMSterlingSupplyChainSolutionstoDriveVisibilityandManageDisruption
OursolutionsleveragethepowerofAIandblockchaintohelporganizationsarchitectforthefutureandbuildasmartersupplychainthat’smoreresilient,agileandcustomer-centric.
IBMSterlingSupplyChainInsightswithWatson
IBMSterlingSupplyChainInsightswithWatson(SCI)leveragesAIthatlearnsandunderstandssupplychaintoprovidemonitoring,visibilityandinsightsacrossyoursupplychain.WithSCI,organizationscanbeproactivelyalertedto,andbetterassessandmitigate,disruptionsandrisks.
SCIOperationsCenterwithSmartAlertsproactivelymonitorsandgovernsoperationswithspeedandagility–andprovidesconfigurablealertstocutthroughdataoverloadandpredictpotentialdisruptions.SCIResolutionRoomswithAskWatsonrecommendstherightteammemberstohelpresolvespecific
disruptions,andthenprovidesthatteamwiththerelevantinformation,updatesandinsightsneededtomitigatetheevent.DigitalPlaybooksareanorganizedbodyofknowledgeandbestpracticesbuiltovertimebasedonyourpastactivitycuratedbyWatson.Thisknowledgebasewillhelpyoutacklerecurringsupplychainchallengeswithgreaterefficiency.
SterlingSupplyChainBusinessNetwork
StreamlinecollaborationacrossyoursupplychainanddeliverAI-poweredB2BtransactionvisibilitytobusinessuserswithIBMSterlingSupplyChainBusinessNetwork(SCBN).Asingle,cloud-based,digitalbusinessnetwork,SCBNenhancescollaborationwithyourcustomers,suppliersandtradingpartnersbydigitizingandautomatingB2Btransactions,whileaccommodatingspecificbusinessrequirements,governmentregulationsandtechnicalcapabilities.
SCBNprovidesbusinessuserswiththeinsightsneededtomakefasterandmoreinformeddecisionsbyleveragingAItodeliverdeepsearchandvisibilityintoB2Btransactionlife-cycles,visualizetheentirelife-cycleofatransactioninreal-timeandincontext,ordrilldowntoseethegranulardetailofspecificdocuments.
IBMSterlingDeliveryTransactionIntelligence
IBMSterlingDeliveryTransactionIntelligenceisaportfolioofapplicationsthatbringsblockchaintotheSterlingSupplyChainBusinessNetwork.SterlingDeliveryTransactionIntelligencegivesyouasinglerecordoftruth,completewithtransparentimmutability,datarights,anaudittrail,permissionandprivacy,andasecurity-richenvironment.
SterlingDeliveryTransactionIntelligenceensuresthatalltheparticipantsinsupplychainprocessesstayinformedandconnectedoneventsandchangesinbusinesstransactionsfromordertodeliverywithoutcompromisingsecurityorconfidentiality.Withasingle,sharedviewofevents,partnerscanquicklyandeasilyresolveissuesandpotentialdisputes.
CopyrightIBMCorporation2019|IBMCorporation,Route100,Somers,NY10589|ProducedintheUnitedStatesofAmerica|October201
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
- 6. 下載文件中如有侵權(quán)或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 二零二五年綠色建筑材料交易合同規(guī)范匯編3篇
- 2025版微粒貸逾期8萬元債權(quán)轉(zhuǎn)讓服務(wù)合同3篇
- 2025版外債借款合同匯率風險與應(yīng)對措施3篇
- 二零二五年度菜鳥驛站快遞業(yè)務(wù)數(shù)據(jù)分析合同3篇
- 二零二五年度多功能木方模板設(shè)計與制造服務(wù)合同4篇
- 2025年學生就業(yè)實習合同
- 2025年名譽權(quán)質(zhì)押合同
- 2025年合作加盟代理合資經(jīng)營合同
- 二零二五版國際貨物檢驗鑒定服務(wù)合同(木材)3篇
- 2025年家居中介代理協(xié)議
- 化學-河南省TOP二十名校2025屆高三調(diào)研考試(三)試題和答案
- 智慧農(nóng)貿(mào)批發(fā)市場平臺規(guī)劃建設(shè)方案
- 林下野雞養(yǎng)殖建設(shè)項目可行性研究報告
- 2023年水利部黃河水利委員會招聘考試真題
- Python編程基礎(chǔ)(項目式微課版)教案22
- 01J925-1壓型鋼板、夾芯板屋面及墻體建筑構(gòu)造
- 近五年重慶中考物理試題及答案2023
- 乳腺導(dǎo)管原位癌
- 冷庫管道應(yīng)急預(yù)案
- 《學習教育重要論述》考試復(fù)習題庫(共250余題)
- 網(wǎng)易云音樂用戶情感畫像研究
評論
0/150
提交評論