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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
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