2026年零售趋势报告_第1页
2026年零售趋势报告_第2页
2026年零售趋势报告_第3页
2026年零售趋势报告_第4页
2026年零售趋势报告_第5页
已阅读5页,还剩4页未读, 继续免费阅读

下载本文档

版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领

文档简介

2026TRENDS

Retail

TREND1

AI&AgenticTools

TREND2

AgileRetail

TREND3

Managing

Price-SensitiveCustomers

TREND4

RetailMediaNetworks

TREND5

ContinuedEmphasisonCustomer

Experience

A

swekickoff2026,the

retaillandscape

continues

tobefacedwithanever-changingcustomerand

growingglobaluncertainty.Retailershavetobe

ultra-responsivetotheircustomers’needs,lessening

reactiontimefrommonthstoweeksifnotdays.Theyalsohavetocontinuetonavigateevolvingsupplychains,

constantlyadjustingtoimpactsfromtariffsand

geopoliticalshifts.LayerintothatthegrowthofAI&

agentictools,whicharenowcommonlypartofany

conversationaboutretailgrowth,andtheoutlookfor2026isoneofopportunitiesandchallengesforretailerstosinkorswimwith.

Aswelookintothetrendsfortheyear,wesee

opportunitiesforretailerswho’vemadeinvestmentsin

technologyandprocesstoimprovereactiontimesand

efficiencies,andchallengesforthosethatarerelianton

agingplatformsthatarestretchingjusttokeepupwiththetablestakesof

moderncommerce.

Thisreporthighlightsfivekeytrendsweexpecttoimpacttheindustryin2026andbeyond.

2

andenableteamstofocusonthecustomerexperience.3

TREND1

,囚

AI&AgenticTools

AI-poweredtoolsandagentsareincreasinglycommonamongretailerslookingtoenhanceoperations.Infact

,98%ofretail

executives

expecttoachievefullAIdeploymentby2028.AsAIusagecontinuestorise,retailersshouldmakesuretheyare

preparedtomakethemostoutofwhatAIhastooffer.

OneofthebiggestshiftsisthefocusonagenticAIusecasesfor

retailers

,asseenatNRF2026.

Agenticcommerce,

agenticmarketing,

andotheragenticusecasesaretopofmindasretailerstrytostreamlineoperationsandadapttocustomerexpectations.

AgentictoolstaketherecentAIsurg

ebeyondprediction

and

conten

t

generation,

incorporatingindependenttaskexecution.Agentscantake

auserpromptorothertrigger,developaplan,andthenworkthrougha

multi-stepprocess,potentiallyleveragingdatabasesorAPIstoexecute

tasksinothersystems.

UsecasesareseenincustomerserviceatGap,whereagentshandle

routine

customerservicerequests,

andat7-Eleven,whereagentshelp

with

time-consumingdocumentationtasks.

Onethingthatisclearisthe

importanceofthesetoolsas

enablersfortheoperatorexperience

,not

overrunningorreplacingit.

Beyondtheseapplications,retailerscontinuetoexpandtheiruseof

AI

acrossbroadertechnologyplatforms

todriveefficiency.

AI-powered

demandforecasting

isbecomingincreasinglyaccurate,enabling

retailerstooptimizeinventorylevels,reducewaste,minimize

out-of-stocks,andimproveproductavailability.AIalsocontinuesto

powercustomerpersonalization,allowingretailerstorecommend

productstailoredtospecificshoppers’preferences

andsendtargeteddiscountsandindividualizedemailcampaigns.Together,these

capabilitiesenhancethecustomerexperienceandstrengthenlong-termloyalty.

AsAIbecomesmoreembeddedinretailoperationsin2026,success

willdependlessonthetechnologyitselfandmoreon

howprepared

organizationsaretouseit.

Governanceandguardrailswillbecriticaltoensureagentsaugment,ratherthanoverride,humanjudgment.When

designedwell,agenticandotherAItoolswillreduceoperationalburden

4

TREND2

AgileRetail

AgileretailisagrowingframeworkthatappliesAgile

developmentprinciplestoprioritizespeedand

flexibilitywhilestayingcloselyalignedtocustomer

needsinretailexecution.Ascustomerdemands

grow,retailersneedtobeabletobefastertorespond–

nolongercantheywaituntilnextseason,orevennextmonth,tobeabletoreacttoachangeindemandorbehavior.

Byleveragingdatatospottrendsinadvance,Agileretailallowsorganizationstorapidlyrespondtopotentialshifts.Itisemergingasawayforretailerstocombatrisingoperationalcostsandvolatiledemandamid

ongoingeconomicandpoliticaluncertainty.Agileretailsupportsimproveddeliverytimesandmore

automatedfulfillmentprocesses,ultimatelydrivinggreaterefficiency.Asretailersprepareforthenewyear,transformingAgileretailintoanend-to-endoperationalstrategycanhelpenhanceresponsivenessand

adaptabilityatboththeenterpriseandlocallevel.

Smartwarehousesandmicro-fulfillmentcentersarejustoneofthewaysAgileretailisexpanding.These

small,automatedhubscanbestrategicallyplacedclosertoshopperstoenablefasterdeliverytimeswhile

reducingtransportationemissions.Thiscapabilityisincreasinglyimportantas

80%ofshoppers

expect

retailerstooffersame-daydelivery.Movingawayfromlarge,centralizeddistributioncenterscanhelpretailersmeettheserisingexpectations.

Inresponse,hyperlocalfulfillmentisgrowingintoastandardpracticeforretailersheadinginto2026.

Companieslike

Walmart

arealreadyleveragingmicro-fulfillmentcenterstospeedupdelivery.Thisshiftnotonlyimprovesoperationalefficiencybutalsoallowsretailerstobetteralignproductavailabilitywithlocal

preferences,leadingtohighercustomersatisfaction.

Retailexperiencesthemselvesarealsobecomingmorelocalized.Forexample

,McDonald's

hastailoreditsmenuofferingsgloballytospecificregions’dietarypreferences.Withadvancesin

generativeAIandmachine

learning,

retailerscannowleveragecustomerdatatolocalizeproductofferingsandadaptproductstothe

specificneedsofeachregion.

Lookingahead,Agileretailwillcontinuetoshapetheindustry.RetailersthatinvestinAI-drivenforecasting

andflexiblefulfillmentmodelswillbepreparedtomeetshiftingcustomerpreferences.Additionally,thosethatadoptAgileprincipleswilloperatewithhigherefficiency,whilethosethatdon’twillriskfallingbehindina

competitivemarket.

5

TREND3

ManagingPrice-SensitiveCustomers

Shoppersremainhighlypricesensitiveastariffsandeconomicuncertaintycontinuetoinfluenceshopperbehavior.Infact,72%ofconsumersreportedreduced

spendinginthepastthreemonths.Aspricesensitivityincreases,shoppers

areplacinggreateremphasisonthevaluepropositionsoftheproductstheychoose

tobuy.Thisheightenedfocusonpricehasledmanyshopperstoreducediscretionaryspendingandtrade

downtocheaperalternatives.

Movinginto2026,thisprice-sensitivebehaviorisbecomingmorestrategic.Customersaremorelikelyto

switchtolower-pricedbrandswhenthequalitydifferencesseemminimal;however,s

hopperswillstayloyal

to

higher-pricedbrands

whentheyfeelthoseproductsaremoredurable,sustainable,orofhigherquality.Asaresult,aclearlydefinedvaluepropositionisbecomingessentialforbrands,whomustcommunicatewhytheirproductsjustifyapremiumprice.

Retailerscanalsocombatpricesensitivitybyusing

AI-basedpricingo

ptimizationandloyaltyprograms.

AI-basedpricingtoolscanhelpretailersreadjustpricesinrealtime,helpingthemstaycompetitivewhile

protectingormaintainingprofitmargins

.Loyaltyprogramsf

urtherenhanceperceivedvaluebyoffering

rewardsandpersonalizedoffers.Infact,loyaltyprogrammembersdemonstrate

approximately33%lower

pricesensitivity

forproductsinstoreswheretheyholdmemberships,makingtheseprogramsaneffectiveleverforretailers.

In2026andbeyond,shopperswillcontinuetofavorbudget-friendlybrandsalongsidethosetheybelieveareworththeaddedcost.Retailersthatstrengthenandclearlycommunicatetheirvaluepropositions,whether

throughquality,convenience,orstrongbranding,willbebetterpositionedtoattractandretaincustomersinaprice-sensitivemarket.

6

TREND4

RetailMediaNetworks

networks

(RMNs),withretailerstestingon-siteadsand

AD

Thepastfewyearssawthe

experimentationofretailmedia

sponsoredproductplacements.However,RMNshaverapidly

becomeafullyfunctioningadvertisingchannel.Majorretailerslike

Walmart,Target,andAmazonh

aveallbeenutilizingRMNs,using

theircollectionsoffirst-partydatatopowerhighlytargetedad

placementsacrosstheirwebsitesandapps.

RMNsusedatatotargetadstoshoppers.Whenretailerscollect

informationonconsumerspendingbehaviorandpurchasehistory,oftensupportedbyloyaltyprogramdata,theycanmoreaccuratelycurateadsthatresonatewithshoppers.Thesemorerelevantadscanimprovereturnoninvestmentforadvertiserswhileexpandingprofitopportunitiesforretailers.Thisshifthighlightshowretailisnolongerlimitedtosellingphysicalproductsalone.

Asdirect-to-consumer(DTC)brandscontinuetoriseinpopularityandincreasecompetition,retailersneedtofindwaystodiversifytheirrevenuestreams.DatamonetizationthroughRMNsenablesretailerstocapitalizeontheshopperinsightstheyalreadycollect,creatingnewsourcesofvaluebeyondtraditionalretailmargins.

However,withthisdatamonetizationcomesconcernsabout

privacya

nddatagovernance.

Shoppersarebecomingincreasinglyawareofhowtheirdataisused,an

d87%ofconsumers

saythey

won’tdobusinesswithacompanytheydon’ttrusttoprotecttheirinformation.Asretailersrelyonfirst-partyshopperdatatosupporttargetedadvertising,strongcompliancewithprivacyregulationsandresponsibledatamanagementpracticesareessentialto

maintainingcustomertrustandtransparency.

Lookingintothefuture,RMNsareprojectedtoreachavalueof

$7.3billiong

loballyby2034.Insightsderivedfromloyaltydataand

purchasebehaviorwillcontinuetoenhancetargetingcapabilities

acrossthesenetworks.Retailersthatinvestinstrongdata

governancealongsideAI-drivenoptimizationwillbebetter

positionedforsuccessasRMNadoptionbecomesmore

widespread.

7

TREND5

ContinuedEmphasisonCustomerExperience

Omnichannelfeatureshavebeenimplementedacrossretailovertheyears.Technology-backedprocesseslikeBOPIS,self-checkout,andapp-basedorderingareallincreasinglyofferedandpreferredbyshoppers.Today,

87%of

retailersn

owhaveaBOPISoption,while

77%ofshoppers

preferself-checkoutduetoitsspeedandconvenience.As

retailersenter2026,omnichannelcapabilities,alongsidecontinuedinvestmentinin-storetechnology,willremainacriticalpartoftheoverallcustomerexperience.

Forstarters,

store-in-storeformats

giveshoppersaccesstomoreproductofferings.Forexample,theSephora

inKohl’spartnership

givesshoppersaccesstoSephoraproductswhilehelpingKohl’sdriveadditionalfoot

traffic.Thismodelalsohelpsloweroperatingcostsforthesecondarybrandandcreatesaddedconveniencebyallowingcustomerstoshopformoreproductswithinasinglelocation.

In-storetechnologyhascontinuedtoadvanceaswell.Retailersareusingtoolssuchassmartdisplaysand

digitalkiosks

togiveshoppersmorewaystoexploreproductsandcompletepurchases.Digitalkiosksallowcustomerstosearchforitemsandpaydirectlyin-store,whileARandVRtechnologiesenablevirtualproducttrialswithoutphysicalinteraction.Forinstance,Sephorahasintegratedits

“VirtualArtist”

toolintoitsapp,

allowingshopperstotryonmakeupremotely.Thesetechnology-enabledexperiencesenhanceconveniencewhilestrengtheningengagementbetweenshoppersandretailers.

Socialmediahasalsobecomemorecloselyintegratedintotheshoppingjourney.Moretha

n40%of

Americans

havemadeapurchaseonsocialmediaandsaytheywoulddosoagain.Embedded

温馨提示

  • 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
  • 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
  • 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
  • 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
  • 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
  • 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
  • 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

评论

0/150

提交评论