2024AI驅(qū)動電商增長：亞馬遜、沃爾瑪?shù)绕脚_自動化實踐的成功之道研究報告17915kb

1?

FEEDVISOR

AI-DrivenE-Commerce

Growth:AutomatingSuccessonAmazon,Walmart,and

More2?

FEEDVISOR

ArtificialIntelligencesurgedintomainstreamawarenessin2024,withnotablenameslikeOpenAI,

Google

Gemini,

and

NVIDIA’s

deep-learningtechnologies

dominatingtheconversation.However,AI

has

been

evolving

for

decades.

What

has

changedis

its

accessibility

and

rapidly

expanding

capabilities,whichcontinuetoattractlong-terminvestmentinterest.AssomeonewithyearsofexperienceinAIanddigitaltechnologies,Iamoftenasked:“AreAItoolsgenuinelydifferentfromwhat’salreadyoutthere?”,“Does

AI

require

human

oversight?”,

and

“Why

is

myAItoolnotperformingas

expected?”Myusualadviceistoproceedwithcaution.TheinflatedexpectationssurroundingAIinrecentyearshaveledmanycompaniestosaytheyareleveraging

AI

when,

in

reality,

they

are

just

employingadvancedrule-basedsystems.Thesesystemslacktrueintelligenceanddemandconstantmanualinterventionwhenconfrontedwithnewtasksorchangingconditions,whichhappencontinually–makingscalabilityasignificantchallenge.Werefertothesesolutionsas“rule-based”or“quasi-AI,”asthey

can

be

misleading

and

potentially

harmfultoabrand’sormerchant’s

operations.TrueAI,ontheotherhand,transcendstheselimitations,

performing

tasks

that

require

human-likeintelligence,includinglearning,reasoning,problem-solving,andnaturallanguageunderstanding.It

hasthe

capability

to

autonomously

adapt

and

act

basedoncomplex,unstructureddata,makingdecisionsinareaswherepredefinedrulesfallshort.Machinelearninganddeeplearningmodels,inparticular,canbecontinuouslytrainedtoenhancetheirperformance,

remaining

relevant

with

each

new

datasetand

experience.AIattheCore:EnhancingProductivity,ProfitabilityandSalesin

E-CommerceAIservesasacornerstoneinmarketplacesandcommerceplatforms,improvingcustomerexperiencesthroughfeatureslikesummarizedreviews,enhancedsearchfunctionalitypowered

byGoogle

Gemini,

and

virtual

shopping

assistants

likeAmazon

Rufus.Fore-commercebrandsandmerchants,AIisessentialforfuelingsales,maximizingprofitability,andstreamliningoperations.Thise-bookdivesintotheAIopportunityforbrandsandmerchants,detailingfivecriticalareaswhereAIdemonstratesaccuracy

and

efficiency

in

forecasting

outcomes

andmaking

decisions:Targeted,highperformanceadvertising,automatedcontentgeneration,dynamic

pricing,inventory

management,anddata-driveninsightsthatguide

action.WehopeyoufindthisresourceinvaluableasitilluminatesthetransformativepotentialofAIine-commerce.Byembracingtheseadvancedstrategies,youcanenhanceyouroperationalefficiency,cultivatedeepercustomerconnections,anddrivesustainablegrowthin

anincreasingly

competitive

landscape.

Together,

let’sharnessthepowerofAItoredefinewhat’s

possibleforyourbrandandbusiness.Dani

NadelPresidentand

COOFeedvisorThe

Impact

of

AI

in

E-Commerce12345AIFORADVERTISINGOPTIMIZATION

–BOOSTINGVISIBILITYAND

ROASCONTENTCREATIONAND

OPTIMIZATION–ENHANCINGVISIBILITY,ENGAGEMENT,AND

RELEVANCEPRICINGOPTIMIZATION–DRIVING

COMPETITIVEEDGEWITHDYNAMIC

PRICINGHOLISTICOPTIMIZATION–THEAIADVANTAGE

ININTEGRATEDMARKETPLACE

OPTIMIZATIONINSIGHTS

AND

ANALYTICS

POWERED

BY

AITHE

FUTURE

OF

AI

IN

E-MARKETPLACES479INVENTORY

HEALTH

AND

FORECASTING

–

AVOIDING

10STOCKOUTSANDOVERSTOCKINGWITH

AI121416Tableof

Contents4?

FEEDVISOR

AIforAdvertisingOptimization

–BoostingVisibilityand

ROIAdvertisingisnowthecornerstonefordrivingproduct

and

brand

growth.

With

rapid

advancementsin

AI,

brands

and

merchants

can

now

leverage

highlyprecise

targeting,

dynamic

strategy

adjustments,

anddata-driveninsights—revolutionizingeverystepoftheadvertisingjourney,fromstrategicplanningthroughexecution.Predictive

and

adaptive

AI

tools,

powered

by

machinelearning,analyzeuserbehaviorandbiddingtrendsinrealtimetodetermineoptimaltimes,budgetutilization,bids,audiences,andkeywordsforeachcampaign.Theseintelligentsystemscontinuouslyrefine

their

strategies

by

dynamically

adjusting

bids,budgets,

and

placements

to

maximize

ROI,

ensuringthatadspendisfocusedonthemostvaluablekeywords,products,and

audiences.Byutilizingsophisticatedmachinelearningalgorithmsandpredictiveanalytics,brandscanengageinhyper-targetedadvertisingcampaignsthat

adapt

instantly

to

changes

in

audience

behavior,market

conditions,

and

the

competitive

landscape.

AIdoesn’t

just

automate;

it

enhances

decision-makingbylearningfromcomplexpatterns,empoweringbrandstomakedata-backedchoicesthatdriveengagementandoptimizebudget

allocation.Retail

media

platforms,

led

by

Amazon

and

Walmart,recognizethisshiftandarerapidlyevolvingto

offeranarrayofpowerfuladvertisingcapabilitiesacrosstheentirefunnel—spanningfromupper-funnelawarenesscampaignstoin-depthmid-andlower-funnelstrategies.Thisexpansionintroducesasophisticatedvarietyoftactics,targetingmethods,formats,

and

creative

options,

making

the

self-serveadvertisingenvironmentbothvastand

complex.5?

FEEDVISOR

AIUseCasesforAdvertisingOptimization–BoostingVisibilityand

ROASThe

advertisingprocesshasevolvedintoamultifacetedchallenge,requiringstrategicplanningacrossthe

entirecustomerjourney.Launchingnewproductsnowinvolvesbalancingmultiplevariables—optimizingvisibilitywhilemanagingcost-effectiveness,selectingtherightadtypesandplatforms,andfine-tuningbidsandkeywords—toeffectivelyreachtargetaudiences,buildawareness,anddriveconversions.Allofthismustbeaccomplishedwithintheconstraintsofacarefullyallocatedbudget,makingitessentialtonavigate

a

landscape

filled

with

competing

prioritiesandcomplex

choices.AIenhanceseveryphase,frominitiallaunchoptimization

tousingconsumerinsightsanddataforengagingcustomersfromawarenesstoconversionandretention.LeveragingamixofAI-driven

technologies,

including

predictive

AI,

machinelearning,naturallanguageprocessing(NLP),andlookalike

modeling,

brands

can

create

a

data-drivenapproach

to

reach

and

engage

their

target

audienceeffectivelyateachstageofthe

launch.PredictiveAIidentifiespotentialcustomersmostlikelytoadvancetotheintereststageandautomaticallyretargetsthemwithinformative,mid-funneladsthatshowcasekeyproductbenefits.Atthe

final

decision

stage,

AI

ensures

ads

reach

high-intentaudienceswhileoptimizingbidsinrealtimeforcost

efficiency.FeedvisorusesAItoassessespreviouslaunches,industrytrends,andconsumerinsightstopinpointoptimalchannelsandmessagesforreachingthetargetaudience.OurAImodelsinformthemediastrategy,

predicting

the

best

channel

mix

and

tacticsbasedonseasonality,competition,andconsumertrends,providingatailoredapproachtoeveryproduct

launch.Asyoucansee,navigatingandoptimizingthesedecisionpointswithoutsacrificingprecisionorefficiencyhasbecomenearlyimpossiblewithoutthepowerofAI.Forbrandsandmerchants,AIempowersteamstoimmediatelyadapttochangingconditions

through

continuously

optimized

targeting,dynamicadjustments,andreal-timeinsightsthatdrivetangibleresults,helpingbrandsmaintainacompetitive

edge

in

the

increasingly

nuanced

worldofretail

media.Asmarketplacecompetitionintensifies

andadcostsrise,AI-poweredplatformsenablebrandsandmerchantstomaximizereturnsandstretchbudgets,automatingintricateprocessestoboostad

effectiveness.6?FEEDVISOR

USECASE

1:AdaptingtoCompetitor

AggressionYourcompetitorshave

intensifiedtheiradvertisingefforts,resultinginincreasedcostsandreducedvisibilityforyour

primarykeywords.Brandsmustactdecisivelytomaintaintheirmarketposition.AI

SOLUTION:Both

predictive

and

generative

AI

are

pivotalinuncoveringopportunitiesthatoffer

acompetitiveedge.ModernpredictiveAIsystemsharnessadvanceddeeplearningmodels

trainedonextensivedatasets,includingcompetitorperformancemetrics.Thepowerof

deeplearningliesinitscapacitytodiscernintricatepatternswithinvastamountsofstructuredandunstructureddata.Thisproficiencynotonlyenhancestheaccuracyofpredictingoutcomes—suchaskeywordperformance,trafficpotential,andassociatedadspend—butalsoenablesbrandstoproactivelyadjust

their

strategies

in

response

to

marketshifts.Generative

AI

complements

this

byautonomously craftingrecommendations

basedgleaned from competitornew keywordon insightsanalysis,identifyingtrendsandperformancemetricstoanticipateshiftsinkeywordcostsandvisibility.AIUseCasesforAdvertisingOptimization–BoostingVisibilityand

ROASWhiletraditionalAImodelsoftenfocusnarrowlyonmatchingexistingkeywordsorassessingkeyworddensity,FeedvisorreliesrelyongenerativeAI,whichexpandsthehorizonbyidentifyingsemanticallyrelatedtermsthatmaynothavebeenpreviouslyconsidered.Thismeansthesystemcansuggestnewkeywordsthatalign

seamlesslywithproductcontentandcampaignobjectives,effectivelyblending

long-tailkeywordswithhigh-traffic,popularsearchtermsforawell-rounded

strategy.Together,automateresearch,theseadvancedthe processesharvesting,

andAIsystemsof

keywordforecasting,empoweringbrandstoadaptswiftly

andefficientlytocompetitive

pressures.Byleveragingthesetechnologies,

brandsnot only safeguard their advertisingeffectivenessbutalsoseizenewopportunitiesthatcan

drivegreatervisibilityandengagementinacrowded

marketplace.Leverage

the

power

of

AI

for

advanced

targeting,

real-timeoptimizations,

and

actionable

insights.

Try

us

free

today.AI

Use

Case

for

Advertising

OptimizationThisisjustoneexampleofhowAIcanhelpoptimizeyourad

spend.7?

FEEDVISOR

ContentCreationandOptimization:EnhancingVisibility,Engagementand

LayoutIne-commerce,contentisthecoreofcustomerengagementandbrandvisibility,andAIcantransformitintoapowerfulstrategic

tool.ThroughablendofgenerativeAI,naturallanguageprocessing(NLP),neuralnetworks,andpredictiveanalytics,brandscanefficientlycreatecontentthatisnotonlyrelevantanddiscoverablebutalsooptimizedfortheuserexperience,boostingbothengagementand

conversion.DifferenttypesofAIcontributetocontentdevelopmentandpage

optimization:GenerativeAI:Largelanguagemodels(LLMs)enablebrandsto

generate

on-brand,high-qualitytextcontentatscale.Thisincludeseverythingfromproductdescriptionsandtitles

to

FAQs

and

educational

materials,

all

craftedtoresonatewithtargetcustomers.Byfine-tuningthesemodelstoreflectthebrand’suniquevoice,companiescanmaintainconsistent,engaging,andauthenticmessagingacrossplatforms,creatingaseamlessexperiencethatenhancesbrandloyaltyandproduct

education.Video

content,

now

an

essential

part

of

e-commercemarketing,

has

long

been

costly

and

time-intensive,makingitchallengingforbrandstocreatehigh-qualityvideosthatconvertconsistently.WithgenerativeAI,advertiserscannowautomatevideoproductionand

customization.Thistechnologyreducesproductioncostsandshortenstimelines,makingvideomoreaccessibleforbrandsofallsizes.Audio

content

is

a

growing

area

where

AI

is

making

astrong

impact,

with

tools

that

can

create

voice-oversandaudiodescriptionsforproducts.AI-poweredvoice

synthesis

can

produce

natural-sounding

audiothat

matches

the

brand’s

tone,

providing

an

engagingexperienceforauditoryconsumers.Audiocontentenhancesaccessibilityandsupportsinclusivity,makingiteasierforbrandstoreachandengageadiverse

audience.NLPandSEOOptimization:NLP-basedAItoolsanalyzesearchtrendsandconsumerlanguage

patterns

to

uncover

high-impactkeywordsandphrases,improvingthevisibilityofproductlistings.Byweavingthesetermsintotitles,descriptions,andothertext-basedcontent,NLPalgorithmsenhancethelikelihoodthatsearchengines

will

connect

potential

customers

to

productpages,significantlyboosting

discoverability.8?

FEEDVISOR

PredictiveAnalyticsforLayoutOptimization:WeuseAItoolsto

predicthow

customerswillinteractwithaproductdetailpage,analyzingdatafromsimilarproductpagesanduserbehaviortosuggestlayoutanddesignenhancements.Thesetoolsusepredictivealgorithmstoforecastwherecustomersarelikelyto

focus

their

attention—such

as

on

images,

call-to-actionbuttons,orproductdescriptions—enablingbrandstoarrangecontentforoptimalimpact.HeatmapanalysispoweredbyAIcanhighlightwhichareasofthepageattractthemostattention,optimizingplacementforcriticalinformationandhigh-value

features.NeuralNetworksforVisualContent:AI-powered

imagegenerationtools,

usingneuralnetworks,produceproductvisualsthatalignwithbrandaestheticswhileresonatingwiththetargetaudience.Thesenetworkscancreatevariationsofproductimages,emphasizingfeaturesor

product

details

that

appeal

to

different

customersegments.Neuralnetworksalsosuggestimageedits,

such

as

adjustments

to

lighting,

composition,andfocus,toensureeachimageisoptimizedformaximumvisual

impact.WithAI-enabledcapabilitiesintext,audio,andvisualcontent,e-commercebrands

canproducehighlyengaging,accessible,andstrategicallystructured

content.Predictive

insights

and

AI-driven

layout

optimizationhelpcreateproductpagesthatanticipateuserbehaviorandelevatetheoveralluserexperience.This

AI-driven

approach

to

content

drives

efficiency,strongerengagement,higherdiscoverability,andultimatelybetter

conversions.ContentCreationandOptimization:EnhancingVisibility,Engagementand

LayoutUSECASE

1:A/BTestingforAd

CreativeYouwanttoseewhatresonatesmostwithyourkeycustomersegmentsbutyouhavetroubleoptimizingmultipleversionsofadsatthesame

time.AI

SOLUTION:Generative

AI

makes

A/B

testing

for

images,textandvideoquickandaffordable.Marketerscaneasilyadjustelementslikeheadlines,calls-to-action,andvisualstotestdifferentvariations,allowingbrandstooptimizeadsandincreaseengagementbasedonreal-timeperformancedataforeachkeysegment.Thisisalsoveryapplicable

forcreatingandoptimizingcontentforseasonalmomentsand

trendingtopics.AI

Use

Case

forContent

OptimizationSee

how

AI

and

deep

marketplace

expertise

canaccelerateyouradvertising

returns.9?

FEEDVISOR

Pricing

Optimization

–

Driving

Competitive

EdgeAIUseCaseforPrice

OptimizationUSECASE

1:DynamicPricingtoOptimizeSalesYou

are

trying

to

maximize

sales,

profitability,andcompetitivenessforeveryproductinyour

catalog.AI

SOLUTION:Pricingforeveryproductinyourcatalogateverymomentcanbechallenging,aseachproducthasvaryingdemandpatterns,margins,andpriceelasticity.AIcanindependentlyexplorepricepointsandanalyzeconsumerdemandchanges,competition,andmarketconditions

tocontinuallybuilddynamicdemandmodels

acrosscatalogsforeachproduct.Thesemodelsidentifywheresupplyanddemandconverge,allowingAItoautonomously

priceoptimallyandfrequentlywithout

humanintervention.AIiscapableofself-learning,becomingsmarterthroughtrackingcompetitors’reactionstopricechanges,their

speed

of

response

and

their

strategies,asevidencedbytheirpricingactionsoraggressiveness.WhyReal-TimePricing

MattersForbrands,privatelabels,andcompetitivesellers,productpricingplaysacrucialroleindrivinge-commercesuccess.Withthisinmind,astrategicapproach

to

one’s

pricing

strategy

is

key,

pinpointingtheoptimalpricepointthatmeetscustomerneedsandremainscompetitive—withoutexcessivelyreducingorincreasingpricesandriskingprofitmargins.However,fluctuatingdemand,diversecompetition,andseasonalchanges,allcreatechallenges,especiallywhentryingtomaintainanoptimalpriceforeveryproductacrossacatalog.Theprocessbecomes

too

complex

for

humans

to

manage

alone.ThisiswhereAItransformsthegame.AI-drivenpricingmodelsempowerbrandswithreal-timedata

analysis,

integrating

current

market

trends

andcompetitorbehaviortoimplementdynamicpricingthat

maximizes

sales

and

profitability

while

keepingthebrandcompetitively

positioned.Only

trueAI-drivenalgorithmicpricingtechnology,

such

as

Feedvisor’s,

can

quickly

adapttomarketconditionsandcompetitoractions,enablingreal-timepriceadjustments.Usingreinforcedlearning—anadvancedtechniquewherealgorithmslearnfrompastoutcomesandfeedback—AI-poweredpricingtechnologyadaptstovariousbusinessobjectives,ensuringpricing

actions

align

with

specific

KPIs

and

goals.WhileAIfunctionsautonomously,adaptingitsbehaviorforvariousobjectives,wehavefoundthatallowing

users

to

harness

the

AI,

with

visualizationstofocusthespacewheretheAIplays,resultsinenhanced

outcomes.Try

the

award-winning

dynamic

price

optimization

technology,trusted

by

top

merchants

on

Amazon,

free

for

14

days.10?

FEEDVISOR

TheCostofInventory

MismanagementInventorymanagementisthelifebloodofanysuccessful

e-commerce

business,

and

missteps

canbecostly.Inventorydistortion—imbalancebetweenstockoutsandoverstocking—costs

retailers$1.7trillion

globally.1Whether

from

stockouts,

overstocking,

or

unexpectedsupply

chain

disruptions,

poor

practices

lead

to

lostsales,highercosts,andaweakenedcompetitivestance.

Avoiding

these

pitfalls

is

vital

for

sustainablegrowthine-marketplaces.InventoryHealthandForecasting

–Avoiding

Stockouts

and

Overstocking

with

AIHowAICan

HelpAIplaysapivotalroleinmoderninventorymanagementbymakingprocessessmarter,faster,and

more

efficient.

Through

demand

forecasting,

AIalgorithmsanalyzehistoricalsalesdata,seasonaltrends,andexternalfactorssuchaseconomicconditions

andweatherpatternstopredictfutureproductneedswithhighaccuracy.Thishelpsbusinessesanticipatedemandandavoid

overstockingorstockouts,optimizinginventorylevelsformaximum

profitability.Real-timeinventorytrackingpoweredbyAIusessensors,IoTdevices,andadvancedsoftwaretomonitorstockacrossmultiplelocations,ensuringup-to-datedataandreducingtheneedformanualchecks.AIalsoautomatesthereplenishmentprocessbysettingdynamicreorderpointsthatadjustbasedonreal-timedata,triggeringorderswhenstock

hitsspecific

thresholds

to

maintain

seamless

availability.Inventorycostreductionisanotherbenefit,asAIlikeFeedvisor’s,canidentifyslow-movingstock,recommendpromotions,ortriggerprice

adjustmentstoclearexcesswhileprioritizinghigh-demandproducts.

This

allows

brands

and

merchants

to

avoidfeesfortoolittleortoomuch

inventory.We

take

it

a

step

further

by

linking

inventory

insightstopricing,whichallowstheAItoenabledynamicpricingandstrategicstockallocationtomeetcustomerneedsandoptimizeprofit

margins.1IHL

Group本報告來源于三個皮匠報告站（）,由用戶Id:349461下載,文檔Id:615535,下載日期:2025-03-0711?

FEEDVISOR

InventoryHealthandForecasting–

AvoidingStockoutsandOverstockingwithAIUSECASE

1:AvoidingCostlyOverstockStorageFeesFollowingarecentsurge,youproactivelyincreased

your

inventory

to

meet

anticipateddemand.

But

as

sales

stabilize,

excess

stockcouldresultinsubstantialstorage

fees.AI

SOLUTION:Withreal-timeinventorymonitoring,theAIsystemalertsyouwhenoverstocklevelsapproachcostlystorage

thresholds.ThroughAI-drivendemandgenerationanddynamic

pricingtools,thesystemdetectsitemsatriskoflong-termstorageandappliestargetedpricingadjustmentstomoveexcessinventory.Forseasonalorslow-movingproducts,theAIcananalyzehistoricalpromotionsandcompetitorpricingtorecommendsalescampaignsorbundledoffersthatincreaseturnover.Additionally,byassessingcarryingcostsandanticipatedstoragefees,theAIprovidesinsightsintothecost-benefitofkeepingversusliquidatingstock,helpingyouprotectmarginsandavoidunnecessaryfees.WithAI’scontinuousoptimization,youcanbalanceinventoryclearancestrategieswhilealigningwithprofitabilitygoals,ultimatelyreducingwasteandimprovingcash

flow.AIUseCaseforInventory

OptimizationGet

a

free

trial

of

the

only

inventory-aware

priceoptimization

technology.AIalsoplaysaroleinfrauddetectionandqualitycontrolbyidentifyinganomaliesthatmaysignaltheft,fraud,orqualityissues,addinganextralayerofsecurity.ThelastbenefitofinventoryoptimizedbyAI,ispredicting

supply

chain

delays,

suggesting

alternativesuppliers,

and

adjusting

orders

based

on

lead

timestokeepstockreplenishmentalignedwithactualdemand.Collectively,theseAI-drivencapabilitiesenablebusinessestorespondproactively,reduceerrors,

cut

costs,

and

enhance

customer

satisfaction,positioning

inventory

management

as

a

cornerstoneofmoderne-commerce

success.12?

FEEDVISOR

Holistic

Optimization:

The

AI

Advantage

inIntegratedMarketplace

OptimizationAsuccessfule-commercebrandstrategyhingesonaligningpricing,advertising,andinventorymanagement

to

stay

ahead.

Each

of

these

elementsiscriticalforbrands,yetaligningthemcanbeincrediblycomplex.EnterAI—apowerfultoolthatnotonlystreamlinesthesefunctionsbutenablesreal-timeoptimizationacrossthem,transformingstaticstrategiesintoadaptive,data-drivenenginesof

growth.Unliketraditional,

manualadjustmentsthatrequiretime-consuminganalysisandarelianceonretrospectivedata,AIcanprocessvastamountsofreal-timeinformationto

makesplit-seconddecisions.Advanceddatasciencetechniquessuchasmachinelearning,predictiveanalytics,

andnaturallanguageprocessingempowerAItodetectpatterns,anticipatetrends,andrespondtomarketfluctuationswithunparalleledspeedand

accuracy.Thislevelofprecisioniscriticalincompetitive

marketplaceslikeAmazon,whereevenaslightdelayinpricing,adbidding,orinventoryadjustmentscan

meanthe

difference

between

a

profitable

sale

andamissed

opportunity.TheRoleofDataScienceinAI-DrivenOptimizationDatascienceisthefoundationthatmakesAI-poweredoptimizationpossible.Withmachinelearningmodelstrainedonhistoricalandreal-timedata,AItoolscontinuouslyanalyzecompetitorbehavior,customerpreferences,demandpatterns,andseasonaltrends.Predictivealgorithmsthenanticipateshifts,enablingbrandstoadjustpricingand

advertising

dynamically.

Reinforcement

le