普华永道 用AI改造仓储 Transforming warehousing with AI

pwc

Transforming

warehousingwithAI

TransformingwarehousingwithAlPwC3

MessagefromFICCI

lampleasedtopresenttheFICCI-PwCreport,TransformingwarehousingwithAP'whichprovidesanimportantperspectiveontherapidevolutionoflndia'swarehousingsectoranditsroleinshapingthecountry'slogisticsandsupplychainecosystem.

Overthepastdecade,India'swarehousingindustryhasundergoneasignificanttransformation.Thegrowthof

manufacturing,e-commerce,organisedretail,anddomesticconsumption,togetherwiththeincreasingintegrationofIndiaintoglobalvaluechains,hasacceleratedthedemandformodern,efficient,andscalablewarehousing

infrastructure.Whatwasonceviewedprimarilyasastoragefunctionhasnowevolvedintoastrategiccomponentofthesupplychain,connectingproductioncentres,consumptionmarkets,ports,andotherlogisticsinfrastructure.

Thistransformationishoweverfarfromcomplete.Assupplychainsbecomemorecomplexandcustomer

expectationscontinuetorise,warehousingwillneedtobecomemoreagile,connected,productive,andresponsive.Thenextphaseofthisevolutionwillnotsimplybeaboutaddingmoreautomation;itwillbeaboutmakingoperationsmoreintelligent

Artificialintelligenceisemergingasanimportantenablerofthisshift.Bymovingbeyondrule-basedautomation

towardspredictiveanddata-drivendecision-making,Alcansupportawiderangeofwarehousefunctions,includingdemandforecasting,inventoryoptimisation,warehousedesignandlayout,workforceplanning,predictive

maintenance,andreal-timeoperationalmanagement.Wheneffectivelyintegratedwiththerightprocesses,people,infrastructure,anddata,thesecapabilitiescanhelpwarehousesimproveproductivity,optimisecosts,andbuild

greaterresilienceacrosssupplychains.

India'spolicyandinfrastructurelandscapeisalsoevolvingtosupportthistransformation.InitiativessuchasPM

GatiShaktiandtheNationalLogisticsPolicyarehelpingcreateanenablingenvironmentforimprovedconnectivity,integratedinfrastructureplanning,andgreaterefficiencyacrosslogisticsnetworks.Astechnologyandoperating

modelscontinuetoevolve,sustainedcollaborationbetweengovernmentandindustrywillbeessentialtoensurethatIndia'slogisticsecosystemremainsresponsivetotheneedsofarapidlychangingeconomy.

ThisreportexaminesthetransformationofIndia'swarehousingsectoroverthepastdecade,theevolutionfrom

automationtointelligenceandtheemergingroleofAlinshapingthewarehouseofthefuture.Italsointroducesthe

intelligentwarehouseframework,bringingtogethertechnology,people,processes,infrastructure,anddata,while

outliningaroadmaptowards2047focusedonbuildingsmarter,moreconnected,resilient,andfuture-ready

warehousinginfrastructureinlinewiththeaspirationsofViksitBharat.AsIndiastrengthensitspositioninglobalvaluechainsandworkstowardsits2047developmentambitions,efficientandintelligentwarehousingwillbeanincreasinglyimportantenablerofcompetitivenessandsustainablegrowth.

IcommendFICClandPwCfordevelopingareportthatbningstogetherrelevantinsights,industryperspectives,andaclearfocusonthewayforward.Ihopeyoufindthisreportusefulandlookforwardtoyourfeedbackandcontinuedengagement.

RizwanSoomar

Chair,FICCICommitteeonLogistics

CEOandManagingDirector-Subcontinent,CentralAsia,Levant,andEgypt,DPWorld

TransformingwarehousingwithAlPwC4

MessagefromPwC

Overthepastdecade,India'slogisticsandwarehousingsectorhasevolvedconsiderably,supportedbythePM

GatiShaktiNationalMasterPlanandtheNationalLogisticsPolicy.Thesemeasureshavegivenapushtomultimodalconnecivityanddigitalintegrationandloweredlogisticscosts.India'srisetothe38thrankamong139countriesintheeWorldBank's2023LogisticsPerfomanceIndexreflectsthisprogress.AchievingtheNationalLogisticsPolicy'sgoalotreachingthetop25by2030¹wouldrequiremoreefficientandconnectedwarehouses.

Warehousesnolongeraresimplystoragepoints;theyarecniticaltosupply-chaincost,service,andresponsiveness.2Fastertumaround,accuracy,flexibility,traceability,andbetterutilisationofspaceandmanpowerarenow

fundamental.Digitalsystemsandautomationhaveimprovedvisibilityandexecution,inlinewiththeNationalLogisticsPolicy'semphasisonintegrationandstandardisation.Thenextopportunitycanbeusingthisinformationfor

anticipatingfuturedemandandenablingbetterufilisationofinventory,workforce,equipment,andwarehousecapacitywhilemanagingbottlenecks.Alhasthepotentialtotakewarehousesfromimprovedexecutiontofaster,better

decision-making,particularlywheredecisionsarefrequent,uncertaintyishigh,anderrorsarecostly.Unlockingitsvalue,however,dependsonreliabledata,integratedsystems,appropriategovernance,andanoversightbyhuman.

Thetransitionisthereforenotjusttheadoptionoftechnology,buttoenablewarehousestosensechange,interpretitsoperationalimpact,andrespondwithspeedandprecisionbylinkinginfrastructure,digitalsystems,data,andhumanjudgement.

ThispaperexamineshowIndia'swarehousescanbecomemoreadaptablewithAI.ItpresentsapracticalframeworktoidentifywhereAlmaycreatevalue,integrateitwithexistingsystemsandprocesses,anddelivermeasurable

improvementsincost,service,resilience,andsustainability.Asthesectorentersitsnextphase,thefocusmustmovebeyondadoptingtechnologyforitsownsaketoapplyingintelligencewhereitcanimproveoperationsanddecisions.Thispaperaimstoinformandstmulatediscussionsamongindustryandpolicyexpertsworkingtowardsanefficient,flexible,andgloballycompetitivelogisticsecosystem.

ManishRSharma

PartnerandLeader,Infrastructure,Transport,Logistics,andRealEstatePwCIndia

1.PIB,IndiaMarksThreeYearsofNationalLogisticsPolicy(accessedason22September2026)

2.NITIAayog,Goodsonthemove(accessedason22September2026)

TransformingwarehousingwithAlPwC5

Tableofcontents

01AdecadeoftransformationinIndia'swarehousingsector

02Fromwarehouseautomationtointelligence

03Roleofintelligenceinawarehouse

04Theintelligentwarehouseframework

TransformingwarehousingwithAlPwC6

AdecadeoftransformationinIndia'swarehousingsector

India'swarehousingsecorhasundergoneastuctural

transformationoverthepastdecade.Thesectorhas

movedfromfragmented,tax-divenstoragenetworks,

andbasicgodown-stylefacilitiestowardslarger,higher

specification,andincreasinglyinstitutional-gradelogisticsassets.ThisshifthasbeendrivenbyGST-enabled

networkconsolidation,expansionof

e-commerce,organisedretail,manufacturinggrowth,

increasingthird-partylogistics(3PL)participation,and

privateinvestments,whichhavecollectivelyreshaped

warehousenetworks,theinfrastructure,andtheoperatingmodelinIndia.

Asaresult,themodernwarehousehasevolvedfromapassivestoragebuffertoanenhancedoperationalfacilitythatcombineshigherspecificationinfrastructurewith

attributessuchashigherclearheights,strongerflooring,betterdesigneddocks,improvedinventorycontrol,

operationalresilience,andend-to-endvisibility.Withtheincreasingneedforthesecapabilities,thereisstronger

demandforGradeAfacilitieswithimprovedinfrastructure,mechanisation,andwideruseoftechnology.

Regulationisalsosupportingtheshifttowards

standardisedwarehousing.TheWarehousing

DevelopmentandRegulatoryAuthority(WDRA)is

establishingtheminimumqualitystandardfor

infrastructure,insurance,inspection,andshelf-lifenorms,whileelectronicnegotiablewarehousereceipts(e-NWRs)provideverifiablerecordsownershipsofthegoodsthatenablebankstolendagainststoredgoods,supportedbytheCreditGuaranteeSchemefore-NWRbasedPledgeFinancing(CGS-NPF)guarantee.Theshiftisalready

visible:Thereare7,512WDRA-accreditedwarehousesason31March2026andINR5,696.56³crorehasbeenpledgedagainste-NWRsinFY26.Inshort,the

GovernmentofIndiaismakingwarehousingmorebankable.

3.WDRA,BhandaranDarpan-AQuarterlyNewsBulletin(accessedason25September2026)

TransformingwarehousingwithAIPwC7

Together,suchdevelopmentsarestrengtheningthesector’scapacitytosupportmoredemandingservicerequirements.

Increasingservicecomplexity

India'swarehousingsectorhasbeenreshapedoverthepastdecadeintermsofhownetworksaredesignedandwhatoperatorsnowdemandfromthem.Thefigurebelowtraceseachlensfromitsearliermodeltowhatchangedandwhatitmeansstrategically.

Networkdesign

Demandprofile

Figure1.Networkdesignandnewdemandpatternsreshapedwarehousenetworkdesign4

Earliermodel

Whatchanged

Strategicimplication

Multiplestate-level

GSTsupportedconsolidation

Scaleeconomicsand

depots;fragmented

intolargerregionalfacilities,

hub-and-spokenetwork

footprint

withhub-and-spokenetworksdevelopedaroundthem

optimisationbecamemoreimportant

Storage-led

requirement:few

docks,limitedSKUs,slowmonthly

replenishmentcycles

E-commerce,3PL,

manufacturing,retailandquickcommercemultiplieddockcounts,SKU

proliferation,anddailyreplenishmentcycles

Speed,flexibility,and

locationbecamecentraltofacilitydesign

Warehousesareincreasinglyexpectedtohandlelargerordervolumesandmorecomplexfulfilmentrequirements,ratherthanprovidebasicstorage.Thisshiftisbeingdrivenparticularlybythegrowthofe-commerce,3PL,

manufacturing,retail,andquick-commercecompanies,eachofwhichplacesdistinctdemandson

warehouseoperations.

networks,andquickdeliveryrequirements.Theserequirementshavealsoledtotheexpansionofdarkstores,wherelimitedspace,high-orderfrequency,andsub-hourdeliverycommitmentsrequireaccurateinventoryvisibility,efficientproductplacement,frequentreplenishmentaswellasrapidpicking.

02OrganisedretailersandFMCGcompaniesneedhigh-throughput,multi-channeldistribution,and

03Manufacturingsectorssuchasautomotive,electronics,andpharmaceuticalsrequirereliableinbound

043PLprovidersinturnneedscalable,technology-enabledfacilitiesthatcanservemultiplecustomerswith

01E-commerceandquick-commercecompaniesrequirerapidorderprocessing,denseurbanfulfilment

supply,specialisedhandling,traceability,andcompliance.

differentinventoryprofilesandservicerequirements.

frequentreplenishment.

Collectively,thesesector-specificdemandsareincreasingtheneedforlarger,specialised,andhigher-specificationfacilities.

4.IndiaTransport&LogisticsNews,India’slogisticscities:Poweringthenextwaveoftradeandgrowth(accessedason22September2026)

TransformingwarehousingwithAlPwC

Quickdeliveriesandfluctuatingorderprofileshave

madespeed,flexibility,andproximitytodemandcentresmoreimportant,whilerisingordervolumeshave

increasedtheneedforefficientlayouts,docking

capacity,material-handlinginfrastructure,andscalableoperations.Thisneedforgreaterproximityisalso

broadeningthegeographicfootprintofmodern

warehousing.EmergingTier-Ilandsmallermarkets

accountedfor18%ofwarehousingstockandrecorded12millionsq.ft.ofspacetake-upin2025.5

Withtotalwarehousingstockprojededtoincreasefrom~610millionsq.ft.in2025to850millionsq.ft.by2030,continuedinvestmentwouldbeneededtoaddressbothcapacityexpansionandassetquality.5

Multimodallogisticsparks(MMLPs)takethisastep

furtherbyfixinghowwarehousesconnecttotherestofthefreightsystem.Insteadofashipmentbeingtruckedtoagoodsyard,transferred,storedelsewhere,and

clearedatafourthplace,anMMLPputstherailsiding,highwayaccess,mechanisedwarehouses,container

terminals,andcustomsclearanceononecampus.Thatchangeswhatawarehousecando.Insidesuchapark,itcanreceiveafullrakeandnotjustdozensoftrucks

serveamanufactuningduster,handleexportandimportcontainers,andstillsupplyanearbycity.

Overthelast5-10years,Indiaswarehousingsectorhasmovedbeyondbeingprimarilyastoragefunctiontobecominganimportantpartofintegratedsupplychainoperations.Businessesareincreasingly

lookingatwarehousesasstrategicassetsthatcanimprovespeed,flexibility,andcustomerservice.Thenextphasewillrequiregreatertechnologyadoption,efficientspaceutilisation,workforcecapability,andseamlessintegrationacrossthesupplychain.Al

presentssignificantpotentialtoenhancewarehouseoperationsthroughbetterforecasting,inventory

visibility,routeandslotoptimisation,predictive

maintenance,andintelligentautomation.By2047,Indiacanbuildahighlyconnectedanddata-dnivenwarehousingecosystem,supportedbymodern

infrastructure,multimodalnetworks,innovation,andcontinuedcollaborationbetweenindustry

andgovenment.

KetanKulkarni,Member-FICCICommitteeonLogistics,andManagingDirectorandCEO,

AllcargoLogisticsLimited

5.HindustanTimes,Warehousingstockcrosses610mnsqftin2025,TierIcitiesaccountfor82%share(accessedason22September2026)

TransformingwarehousingwithAIPwC9

Fromwarehouseautomationtointelligence

Technologyhastransformedwarehousesfrommanual,

paper-basedoperationsintoconnectedandautomated

environments.Warehousemanagementsystemsprovidereal-timevisibilityintoinventoryandorders,while

barcodescanning,radio-frequencyidentification(RFID),andIoTimprovetrackingandprocesscontrol.

Conveyors,automatedstorageandretrievalsystems,

androboticshaveacceleratedmaterialmovement,

pickingandsorting,improvingthroughput,accuracy,andconsistency.Together,thesetechnologieshavecreatedthedigitalandoperationalfoundationforthenextphaseofintelligent,AI-enabledwarehousing.Thefocusmust

shiftfromvisibilitytodecisionintelligence.Aswarehousenetworksbecomelargerandmoreinterconnected,the

principalconstraintisshiftingfromdataavailabilityto

qualityandtimelinessofdecisions.Awarehouse

managementsystem(WMS)canshowoperatorswhat

hashappenedandwherecapacityorinventoryis

constrained.Thenextphaseistointegratethesesignalstoanticipatebottlenecks,predictdemandandlabour

requirements,flaginventoryorproduct-conditionrisks,andrecommendappropriateintervention.6Warehousingtransformationnowshouldthereforebedefinednotjustbytheamountofdatacaptured,butbyhoweffectively

technology-generateddataisconvertedintopredictiveintelligenceandfaster,better-informeddecisions.

Matchingtechnologyintensitytovelocity,volume,andvalueatrisk

Noteverywarehouseprocessrequiresadvanced

technology.Suitabilitydependsonthevelocityatwhichgoodsmove,thevolumehandled,andthevalueatriskfromerror,delay,damage,ornon-compliance.

Automationismostjustifiedinhigh-volume,

high-velocityenvironmentswhererepetitiveprocessesjustifyautomationasbenefitscanberealisedatscale.

Automationmayalsobewarrantedinlower-volume

processeswherethevalueatriskishigh,suchasthoseinvolvingcostly,fragile,temperature-sensitive,or

regulatedgoods.However,lower-volumeorvariable

activitieswithlimitedoperationalorfinancialriskmaybebetterservedthroughWMS,scanning,mechanised

handling,andhumanjudgement.

E-commerce,quickcommerce,andorganisedretail

typicallyoperateathighvelocityandvolume,withbroadstock-keepingunit(SKU)assortments,quickdelivery,

andfrequentreplenishmentcycles.Manufacturing

createsadifferentformofcomplexity:Warehouses

increasinglysupportproductionanddistributionthroughactivitiessuchaslabelling,packaging,kitting,

sequencing,andlightsub-assembly,wheretraceability,accuracy,andthevalueofavoidingdisruption

areimportant.

WhyadoptionremainsunevenacrossIndianwarehouses

Moreover,adoptionremainsuneven.Thewarehouse

automationmarketaccountsforasmallproportionoftheoverallwarehousingmarket,indicatingthatmany

facilitiescontinuetorelyonmanualprocessesandbasicmechanisation.Thisgapcontributestoinventory

inaccuracies,labourandskillshortages,receivinganddispatchcongestion,service-levelpressures,spoilage,andcompliancerisks.Thisisparticularlyevidentin

temperature-sensitivesupplychains,wherecold-chaininfrastructurehashistoricallyconstrainedthemovementoffreshfruitsandvegetables,leadingtohigherspoilageandqualityrisks.

6.EconomicTimes,TheroleofAIandpredictiveanalyticsinIndianwarehousing(accessedasof22September2026)

TransformingwarehousingwithAlPwC10

Structuralpressuresshiftingtheperformanceconstrainttodecisions

Theneedforthisshiftisbeingdrivenbypressuresthatarestructuralratherthancyclical.Warehousinglandnear

consumptioncentresisincreasinglyscarceandexpensive,limitingtheabilitytoabsorbgrowthbyaddingspace.

Labouravailabilityisalsotightening,whileattritionandseasonalpeaksmakestaffinglesspredictable.Atthesametime,broaderSKUassortments,shorterservicewindows,andmorefrequentsupply-chaindisruptionsareincreasingoperationalcomplexity.Consequently,performanceisincreasinglyjudgedbythroughputpersquarefootandoutputperworker-hourratherthanbyabsolutecapacity.Whenspaceandheadcountcannotbeexpandedfreely,the

principalperformanceleverbecomesthequalityandtimelinessofdecisionsabouthowexistingspace,inventory,labour,andequipmentaredeployed.

Frommachinecontroltopredictivewarehouseorchestration

wCSandWESrepresentimportantstagesinthisprogression.AWCSoperatesclosetothephysicalautomationlayer,directingconveyors,sorters,automatedstorage,andretrievalsystemsandrobots,whilesynchronising

equipmentmovements.AWESsitsabovethiscontrollayerandconnectswarehouseplanswithreal-timeoperatingconditions.Itprioritisesandreleaseswork,balancesloadacrosslabourandautomatedassets,andadjuststask

sequencingwhenorderpriorities,queues,equipmentavailability,orbottleneckschange.WCStherefore

coordinatesmachineexecution,whereasWESprovidesrules-based,real-timeorchestrationacrosspeople,

processes,andautomation.Almayenhancethisorchestrationbypredictingchangingconditionsandsuggestingadaptiveresponses.

Artificialintelligence(Al)extendsthisoperatingmodelfromresponsiveorchestrationtopredictiveandadaptive

decisionmaking.Byanalysinghistoricalandreal-timedataacrossorders,inventory,labour,equipment,andfacility

conditions,Alcananticipatedemandandcongestion,forecastlabourandreplenishmentrequirements,identify

inventory,quality,ormaintenancerisks,evaluateoperationaltrade-0ffs,andrecommendorinitiatecorectiveaction.Theprogressionisthereforecumulative:Automationexecutespredefinedtasks;WCScoordinatesequipment;WESdynamicallyorchestratesworkwithindefinedrules;andAlenablestheoperatinglogictolearnfrompattems,

anticipateoutcomes,andimprovedecisionsasconditionschange.AnintelligentwarehousedoesnotreplaceWCSorWES;itbuildsontheseexecutionlayersbyconvertingconnectedoperationaldataintoforward-lookingchoices.7

7.ETInfra,RoleofAlandpredictiveanalyticsinIndianwarehousing(accessedason22September2026)

TransformingwarehousingwithAIPwC11

Thenextstageofwarehouseevolutionthereforeliesnotonlyinexecutingefficientlyandreliably,butalsoindecisionintelligence.Thisisashiftfromautomationtointelligenceinwhichsystemsinterpretchangingconditions,anticipateoutcomes,andcontinuouslyoptimisetheresponse.

Thewarehousematuritycurve

Warehouseshaveevolvedthroughfourbroadstagesofmaturityintheirabilitytorespondtochangingoperatingconditions.Eachstagebuildsonthecapabilitiesofthepreviousone,andmostadvancedwarehousesoperationstodaysitsomewherebetweenthesecondandthirdstages.

Figure2.Evolutionofwarehouseoperations:Frommanualexecutiontointelligentdecisionmaking8

Manualwarehouse01

Digital

warehouse

02

Automated

warehouse

03

Intelligentwarehouse

04

Recordactivity

Createsvisibility

Executesactions

Improvesdecisionintelligence

Decisionbasis

Judgement.Decisions

Data.Decisionsdraw

Rules.Decisionsare

Intelligence.Decisionsadaptto

restonindividual

onashared,real-time

pre-definedinsoftware,

conditionsasAIpredicts,

experience,paper

recordratherthan

thenexecuted

optimises,andlearns.

records,andline-of-sightsupervision.

personalrecall.

consistentlyatspeed.

Definingcharacteristics

Processesarelargely

•

Real-timevisibility

•

Predefinedrule-

Predictpotentialoutcomes

paper-based

•

Digitalrecords

basedexecution

Optimiseoperations

Experience-basedactions

Extensivephysical

•

Standardisedworkflows

•

•

Greaterspeedandaccuracy

Reduced

EvaluateresponseoptionsLearncontinuously

recordkeeping

Dependentonmanualeffort

manualeffort

RoleofautomationandAI

Noautomation:

Executionand

judgementrestentirelywiththeoperator.

Noautonomous

decisions:Digital

systemsrecordandstandardisework,butpeoplestilldecide.

Automationexecutespredefinedtasks

orrules.

Example:Robotsmoveitemstoapresetlocation.

AIidentifiespatterns,predicts

outcomes,andrecommends

actionsunderchangingconditions.

IntelligentautomationcombinesAI-supporteddecisionswith

automatedexecution.

Example:AIrecommendsanewpickingsequenceandautomationexecutesit,changingproduct

placementbyordervelocity.

8.ETEnterpriseAI.com,TheroleofAIandpredictiveanalyticsinIndianwarehousing(accessedason22September2026)

TransformingwarehousingwithAl

Criticaldistinctionliesbetweenthethirdandfourth

stages.Atpresent,digitalisationcreatesvisibilityandautomationexecutespredefinedworkflowsand

tasks.However,determiningthebestcourseofactioninresponsetochangingconditionsremainslargely

dependentonhumanjudgementwhichcanbesubjecttobias,inconsistency,andslowerresponsetimes.

Warehousemanagers,planners,andsupervisors

continuetointerpretoperationalsignals,evaluatetrade-offs,anddecidehowinventory,labour,capacity,and

exceptionsshouldbemanaged.

Thekeycapabilitymissingfromdigitalisedand

automatedwarehousesistheabilitytocontinuously

interpretoperationalconditionsanddeterminethemosteffectivecourseofactioninrealtime.Thiscapabilityisincreasinglyimportantaswarehouseoperationsbecomemorecomplex,dynamic,andtimesensitive.Whiledigitalsystemscanprovideinformationandautomatedsystemscanexecutepredefinedactions,neithercan

independentlyassessevolvingconditions,predictpotentialoutcomes,andidentifythe

optimalresponse.

Intelligencecanaddthismissingcapability:Itcan

connectoperationalsignals,interpretchanging

conditions,anticipatelikelyoutcomes,andrecommend

and/or,ifapplicable,initiatethemostsuitableresponse.

Thismarksashiftfromanexecution-focusedwarehouse,

whichdoeswhatitistold,toanadaptiveone,inwhich

datacontinuouslyinformsbetterdecisions.Indoingso,

theroleofoperationaldatachangesfromproducing

reportsthatdescribethepasttoenablingdecisionsthat

shapethefuture.

TransformingwarehousingwithAIPwC13

Roleofintelligenceinawarehouse

Warehouseperformancedependsonhowefficientlytasksareexecuted,andequallyonthequalityofthedecisions

thatdirectthem.Acrossreceiving,put-awaystorage,replenishment,fulfilment,anddispatch,operatorsmust

continuallyjudgehowconditionsshallevolve,howresourcesshouldbedeployedinresponse,andhowconsistently

thosejudgementscanbeappliedacrossahigh-volumeoperatingenvironment.AsFigure3illustrates,theseactivitiesformaninterconnectedflow:adelay,error,orcapacityconstraintatonestagecanaffecteverysubsequentstage.Asdistributionnetworksgrowmoreinterconnectedandservicecommitmentstighten,thevolume,frequency,and

interdependenceofthesedecisionshaveincreasedmaterially.

Figure3.Warehouseoperationsprocessflow

01Inbound

Receivingandinspection

02

Putawayandstorage

Inventory

management

Pickingandpacking

Dispatchandoutbound

03

04

05

06

Planandschedulearrivals:purchaseorders,advanceshippingnotice(ASN),andlabour/staffmanagementbeforethetruckarrives.

Unload,stockcountagainstthePO,scanandlabel,checkdamageandquality,andloganydiscrepancy.

Assigneachitemastoragelocationbyvelocity,size,andhandlingrules,thenmoveandconfirmstockplacement.

Keepsystemstockequaltophysicalstockthroughcyclecounts,replenishment,andageingcontrol.

Releaseorders,picktheshortestpath,consolidate,pack,verifyweight,andlabelforshipment.

Stageloadsbyrouteandcarrier,verifyloading,issuedocuments,andhandovertotransport.

TransformingwarehousingwithAIPwC14

Notwithstandingthediversityof