alphachain’s iBp

service offerings

• DetailedSYSTEMDEMOSforyourselectedproces- sestogetacloserlookatthelatestSAPIBPofferings• PROOFOFCONCEPTworkshopsusingSAPIBPfor Inventorywitharapidprototypingapproachtoshow- casecustomerspecificscenarios.Intheseworkshops youcanrealisticallyforeseeyourcompany’skey businessprocessesinthisnewsoftwareand alphachainConsultingwillsupportyouinbuildingan implementationroadmap• Fastandsmoothimplementationthrough leveragingtheSAPRAPIDDEPLOYMENT CONTENTwithaheadstartthroughpro- totypetransfer• SOLUTIONEXPERTSandPROJECT MANAGEMENTforyourproject througheveryphase:fromdeveloping yourownITsolutiontoimplementation, datamigration,training,cutover,go-live andsupport

sap iBp for

INvENTORYFEATURES

• SAPIBPispoweredbySAPHANAandisdeployedas acloudbasedsolution• Excelandintuitiveanalyticsareusedasafrontendfor inventoryplanners• SAPIBPInventoryOptimisationusesastochastic algorithmicapproachtopredictsafetystockatnet- worklevelbyamulti-echelonmethod• Stockispredictedformultistageseliminating ‘Silo-effects’• SAPIBPMultiStageOptimisationconsidersdemand volatility,supplyvariability,forecasterrors,leadtime variability,targetservicelevelsandreplenishment frequency• IBP6.xandlaterversionsarebasedonaUnifiedData Modelandintegrateinventoryplanningwithother SAPIBPapplications.Thisinsuresthatinventorydata isconsideredforSupplyPlanning,Sales&Operations PlanningandControlToweroperations

SAP IBP for InventoryThe solution pack for your inventory

Inventoryreductionby10–20%andcustomer servicelevelincreaseby10%

Networkvisualisationbyintelligentanalytics

What-ifscenariocapability

Multi-echelonoptimisationasstate-of-art

Customer Benefits

alphachainConsultingGmbHIFriedrichstr.95I10117BerlinIph.+49(0)3022487553Ifax+49(0)3022487589Icontact@alphachain.euIwww.alphachain.eu

issues with exCessive stoCk or stoCkouts?

how do you deCide the stoCking loCation?

you want to plan safety stoCk aCross multiple loCations?

supplier plant regional dC loCal dC

lead time variability

replenishment frequency

demand volatility

forecast bias

target service levellot size variations

Multi-echolonoptimisationplansstockatmultiplelocationssimulta- neouslybyconsidering various factors