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Resea ch A icle
Beau y Mee s Technology: How Nykaa Is Re olu ionizing E-
Comme ce wi h Inno a ions
Ms. Zenab Ja ed
M.Com. S uden , Ins i u e o Excellence in Highe Educa ion, Bhopal, Madhya P adesh, India
Co esponding Au ho : *Ms. Zenab Ja ed DOI: h ps://doi.o g/10.5281/zenodo.17323479
Abs ac
Manusc ip In o ma ion
This esea ch pape p esen s an in-dep h desc ip i e analysis o Nykaa, examining how he
b and has e olu ionized he beau y e-comme ce indus y by in eg a ing inno a i e
echnological solu ions. The s udy highligh s Nykaa’s s a egic use o cu ing-edge
echnologies such as a i icial in elligence (AI), augmen ed eali y (AR), big da a analy ics, and
omnichannel e ailing o ele a e he cus ome expe ience and ede ine he beau y shopping
pa adigm. By le e aging AI, Nykaa deli e s highly pe sonalized p oduc ecommenda ions,
enhancing cus ome sa is ac ion and d i ing sales h ough ailo ed, da a-d i en insigh s.
Addi ionally, he applica ion o AR echnology empowe s cus ome s o i ually y on beau y
p oduc s, allowing o an in e ac i e and imme si e shopping expe ience ha b idges he gap
be ween digi al and physical e ail. The pape u he explo es Nykaa’s omnichannel app oach,
which in eg a es i s online and o line pla o ms, p o iding a seamless, mul i- ouchpoin
shopping expe ience. Th ough ad anced da a analy ics, Nykaa has op imized ma ke ing
s a egies ha an icipa e consume p e e ences, leading o a ge ed campaigns and s onge
b and loyal y. This s udy also explo es he b and’s adap abili y and commi men o digi al
ans o ma ion, which has enabled i o main ain a compe i i e edge in he as -e ol ing beau y
ma ke . Nykaa’s abili y o me ge echnology wi h beau y e ail has no only b oadened i s
ma ke each bu also os e ed a loyal cus ome base, posi ioning i as a leade in he e-
comme ce space. By documen ing Nykaa’s echnological inno a ions and s a egic ini ia i es,
his pape p o ides aluable insigh s in o he ans o ma i e ole o echnology in mode nizing
cus ome engagemen , op imizing business ope a ions, and ensu ing sus ainable g ow h in he
e-comme ce sec o . The indings emphasize he po en ial o echnology o c ea e a mo e
pe sonalized, e icien , and imme si e shopping expe ience ha mee s he e ol ing demands
o he digi al consume .
▪ ISSN No: 2583-7397
▪ Recei ed: 01-08-2025
▪ Accep ed: 30-09-2025
▪ Published: 11-10-2025
▪ IJCRM:4(5); 2025: 303-309
▪ ©2025, All Righ s Rese ed
▪ Plagia ism Checked: Yes
▪ Pee Re iew P ocess: Yes
How o Ci e his A icle
Ja ed Z. Beau y Mee s Technology:
How Nykaa Is Re olu ionizing E-
Comme ce wi h Inno a ions. In J
Con emp Res Mul idiscip.
2025;4(5):303-309.
Access his A icle Online
www.mul ia iclesjou nal.com
KEYWORDS: A i icial In elligence, Augmen ed Reali y, Beau y E-comme ce, Da a Analy ics, Omnichannel Re ailing
1. INTRODUCTION
The in eg a ion o echnology in o he beau y indus y has led o
a signi ican ans o ma ion in how consume s in e ac wi h
p oduc s and b ands. Wi h he g ow h o digi al pla o ms, he
beau y shopping expe ience has e ol ed om a simple
ansac ional p ocess o a pe sonalized and imme si e jou ney.
Consume s now expec ailo ed ecommenda ions, i ual y-
ons, eal- ime assis ance, and seamless na iga ion ac oss online
and o line ouchpoin s. This shi has been d i en by
ad ancemen s in a i icial in elligence, augmen ed eali y, and
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da a analy ics ools ha enable b ands o be e unde s and
consume beha io and deli e mo e ele an , engaging
expe iences. A i icial in elligence powe s ecommenda ion
engines ha align wi h indi idual p e e ences, while augmen ed
eali y allows use s o i ually es p oduc s, enhancing
con idence be o e pu chase. Da a analy ics enables deepe
insigh in o cus ome pa e ns, helping b ands c ea e highly
a ge ed campaigns and op imize hei o e ings. Addi ionally,
omnichannel s a egies ensu e a consis en expe ience, whe he
consume s a e shopping online o in physical s o es.
Technology is no longe a suppo unc ion in beau y e ail—i
is cen al o cus ome engagemen , b and di e en ia ion, and
long- e m g ow h. As digi al expec a ions ise, he abili y o
adap and inno a e is eshaping he compe i i e landscape and
se ing new benchma ks in he beau y e-comme ce ecosys em.
O e iew o Nykaa
Nykaa is a pionee ing Indian beau y and li es yle b and ha has
ans o med he coun y's e ail ecosys em h ough a digi al- i s
app oach. Founded in 2012 by Falguni Naya , he b and began
as an online pla o m dedica ed o o e ing au hen ic, high-
quali y beau y and wellness p oduc s. O e he yea s, i has
e ol ed in o a o midable omnichannel p esence, seamlessly
in eg a ing e-comme ce wi h an expanding ne wo k o physical
e ail s o es. Wi h an ex ensi e po olio spanning cosme ics,
skinca e, hai ca e, pe sonal ca e, ag ances, and wellness,
Nykaa cu a es p oduc s om leading global and Indian b ands
alongside i s p i a e labels. The b and has ea ned consume
us h ough i s commi men o au hen ici y, quali y assu ance,
and a pe sonalized shopping expe ience. Nykaa’s g ow h has
been ueled by i s ech-d i en s a egies, including AI-powe ed
ecommenda ions, augmen ed eali y o i ual p oduc ials,
and con en - ich engagemen h ough blogs, ideos, and
in luence pa ne ships. Di e si ica ion in o e icals such as
Nykaa Fashion, Nykaa Man, and Nykaa PRO e lec s i s in en
o p ecisely se e a ied consume needs. In 2021, Nykaa made
his o y by becoming one o India’s i s beau y s a ups o be
publicly lis ed, ma king a signi ican miles one in i s jou ney.
Today, i is a symbol o inno a ion, consume us , and
en ep eneu ial excellence in he Indian digi al e ail space.
OBJECTIVES
• To desc ibe Nykaa’s applica ion o a i icial in elligence in
deli e ing pe sonalized p oduc ecommenda ions.
• To explo e he use o augmen ed eali y in en iching
cus ome in e ac ion on Nykaa’s digi al pla o ms.
• To ou line Nykaa’s omnichannel e ail s a egy and i s ole
in ensu ing a cohesi e shopping expe ience.
• To illus a e how Nykaa le e ages da a analy ics o gain
insigh s in o consume p e e ences and e ine i s ma ke ing
ini ia i es.
Resea ch Me hodology
This esea ch adop s a quali a i e desc ip i e me hodology o
in es iga e Nykaa’s in eg a ion o ad anced echnologies wi hin
he beau y e-comme ce sec o . Da a is sou ced om a ious
c edible seconda y ma e ials, including academic publica ions,
indus y epo s, news a icles, and o icial documen s eleased
by Nykaa, such as p ess eleases and in es o b ie ings. The
s udy explo es he b and’s use o a i icial in elligence,
augmen ed eali y, da a analy ics, and omnichannel e ailing o
ele a e he cus ome jou ney and s eamline business
ope a ions. Th ough hema ic analysis, ecu ing pa e ns and
s a egic insigh s a e iden i ied o unde s and how hese
echnologies in luence pe sonaliza ion, cus ome engagemen ,
and b and di e en ia ion. This app oach enables a ocused
examina ion o Nykaa’s digi al s a egies and hei ole in
eshaping consume expe iences in he e ol ing beau y e ail
landscape. The me hodology suppo s a holis ic unde s anding
o echnological inno a ion as a ca alys o sus ained g ow h
and compe i i e ad an age in he mode n e-comme ce
en i onmen .
REVIEW OF LITERATURE
• The in eg a ion o echnology in o he e ail sec o has
been ex ensi ely examined by schola s, la gely due o i s
in luence on consume beha io , ope a ional e iciency,
and ma ke compe i i eness. Po e and Heppelmann
(2014) a gue ha digi al inno a ion has become a key
sou ce o compe i i e ad an age, undamen ally
ans o ming how e aile s c ea e and deli e alue.
Technologies such as a i icial in elligence (AI),
augmen ed eali y (AR), and big da a analy ics a e
eshaping bo h he consume expe ience and business
ope a ions, pa icula ly wi hin he beau y and pe sonal ca e
indus y, which has his o ically depended on physical,
senso y-based in e ac ions.
• AI has eme ged as a c i ical ool in deli e ing pe sonalized
consume expe iences. Acco ding o G ewal, Rogge een,
and No d äl (2021), AI-d i en ecommenda ion sys ems
signi ican ly enhance cus ome sa is ac ion and inc ease
sales by ailo ing sugges ions o indi idual p e e ences and
pu chase his o ies. In pa allel, AR o e s consume s he
abili y o i ually y on beau y p oduc s, he eby educing
decision-making unce ain y and boos ing pu chase
con idence (Ja o nik, 2016).
• The omnichannel e ail app oach, which in eg a es digi al
and physical cus ome ouchpoin s, has also been linked o
imp o ed consume sa is ac ion and b and loyal y.
Ve hoe , Kannan, and Inman (2015) emphasize ha
omnichannel s a egies espond e ec i ely o consume
demands o con enience, cus omiza ion, and accessibili y,
c ea ing a seamless and uni ied shopping expe ience.
• Digi al con en ma ke ing, pa icula ly h ough in luence
pa ne ships, has become a p e alen me hod o building
consume us and engagemen . Kapi an and Sil e a
(2016) ound ha digi al in luence s enhance b and
c edibili y an especially i al in he beau y sec o , whe e
pee opinions and p oduc endo semen s hea ily in luence
consume decisions. Simila ly, Zhou e al. (2021) epo a
apid g ow h in he use o social media pla o ms o
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p omo e p oduc awa eness and acili a e di ec
engagemen wi h consume s.
• The ole o da a analy ics in enhancing e ail s a egy has
also ecei ed signi ican a en ion. Kuma and Shah (2020)
a gue ha unde s anding consume beha io h ough
ad anced analy ics enables e aile s o an icipa e ends,
op imize in en o y managemen , and de elop a ge ed
ma ke ing s a egies. These insigh s no only suppo
pe sonaliza ion e o s bu also guide s a egic business
decisions.
• The in luence o use -gene a ed con en and online e iews
on consume decision-making has been widely
documen ed. Cheung and Thadani (2012) sugges ha
cus ome e iews se e as c i ical o ms o social p oo ,
especially in p oduc ca ego ies such as skinca e and
cosme ics, whe e pe sonal expe iences a e highly alued.
• The concep o b and loyal y in he digi al con ex has been
explo ed by se e al esea che s. Chaudhu i and Holb ook
(2001) highligh ha emo ional connec ions be ween
consume s and b ands a e essen ial o long- e m loyal y,
and in oday’s digi al en i onmen , such bonds a e o en
cul i a ed h ough pe sonalized and echnology-enhanced
expe iences.
• The de elopmen o cus ome engagemen pla o ms, such
as mobile apps and b anded websi es, has u he
ans o med consume -b and in e ac ions. Li e al. (2020)
no e ha hese pla o ms p o ide pe sonalized, in e ac i e
en i onmen s ha no only enhance he shopping
expe ience bu also encou age epea pu chases and os e
s onge consume ela ionships.
Insigh s On Resea ch Objec i es
OBJECTIVE 1
To desc ibe Nykaa’s applica ion o a i icial in elligence in
deli e ing pe sonalized p oduc ecommenda ions.
1. Pu pose and Rele ance o he Objec i e
• The objec i e aims o explo e how Nykaa u ilizes a i icial
in elligence (AI) o pe sonalize use expe iences h ough
da a-d i en p oduc ecommenda ions.
• In a highly compe i i e beau y and pe sonal ca e ma ke ,
pe sonaliza ion se es as a key di e en ia o , helping
Nykaa main ain high cus ome engagemen and con e sion
a es.
2. S a egic Use o AI Technologies
• Nykaa employs a ious AI and machine lea ning (ML)
echniques o enhance pe sonaliza ion:
• Machine Lea ning: Iden i ies pu chase pa e ns and
cus ome p e e ences o e ime.
• Na u al Language P ocessing (NLP): In e p e s use
e iews and sea ch que ies o ma ch ele an p oduc s.
• Collabo a i e Fil e ing and Con en -Based Fil e ing:
D i es Nykaa’s ecommenda ion engine based on use
simila i y and p oduc a ibu es.
3. Pe sonaliza ion Th ough Da a Analysis
• Nykaa’s AI sys em u ilizes mul iple da a poin s om
cus ome beha io :
• B owsing his o y and ime spen on p oduc pages.
• Pu chase equency, a e age ca alue, and p oduc
ca ego ies b owsed.
• Skin ype, one, conce ns, and p e e ed b ands (ga he ed
h ough beau y p o ile inpu s).
• Feedback om p oduc e iews and s a a ings.
4. Real-Time Recommenda ion Sys em
• AI analyzes use beha io in eal ime o gene a e
pe sonalized eeds and sugges ions on:
• Homepage p oduc displays.
• “You may also like” and “F equen ly bough oge he ”
sec ions.
• Push no i ica ions and email ecommenda ions.
5. Quan i a i e Indica o s o AI’s Impac ( om Nykaa’s
pla o m & public epo s)
• Recommenda ion engine d i es 30–35% o Nykaa’s
con e sions, acco ding o indus y es ima es.
• The Nykaa app boas s o e 30 million mon hly ac i e
use s (as o 2024), wi h a high epea pu chase a e
a ibu ed o pe sonalized sugges ions.
• Use s engaging wi h pe sonalized eeds epo edly show
25–40% highe baske alue han a e age cus ome s.
• Pe sonalized emails and app no i ica ions ha e esul ed in
CTR (Click-Th ough Ra e) inc eases o up o 2x, pe
in e nal insigh s sha ed in in es o p esen a ions.
6. AI-Powe ed Vi ual Assis ance
• Nykaa ea u es “Beau y Book” and “Nykaa Skin Genius”
ools ha use AI o ecommend p oduc s based on skin
analysis and beau y goals.
• AI cha bo s assis cus ome s wi h skinca e ou ines,
p oduc sugges ions, and quick eo de ing.
7. Business & Use Expe ience Ou comes
• Enhanced use expe ience h ough pe sonaliza ion leads o:
• Imp o ed cus ome sa is ac ion and b and loyal y.
• Inc eased a e age o de alue and equency o pu chases.
• Be e in en o y managemen and demand o ecas ing
using p edic i e analy ics.
8. Resea ch Emphasis
• This objec i e seeks o:
• Map he AI echnologies Nykaa employs in i s
ecommenda ion engine.
• Analyze he measu able impac o pe sonaliza ion on use
engagemen and business pe o mance.
• Unde s and cus ome esponse o AI-d i en in e ac ions.
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OBJECTIVE 2
To explo e he use o augmen ed eali y in en iching
cus ome in e ac ion on Nykaa’s digi al pla o ms
1. Pu pose and Rele ance o he Objec i e
• This objec i e ocuses on examining how Nykaa
inco po a es augmen ed eali y (AR) echnology o
enhance cus ome engagemen and suppo in e ac i e
shopping expe iences.
• In he beau y and cosme ics indus y, isual ial and
pe sonaliza ion a e key o decision-making. AR b idges he
gap be ween physical and online shopping by allowing
use s o i ually y p oduc s be o e pu chasing.
2. S a egic Use o AR on Nykaa’s Pla o ms
• Nykaa has implemen ed AR-based ools, especially in i s
app and websi e in e ace, o p o ide:
• Vi ual p oduc y-ons (lips icks, eyeshadows,
ounda ion shades, e c.).
• Li e came a in eg a ion ha simula es eal- ime p oduc
applica ion.
• Face-mapping echnology o ensu e accu a e ende ing on
di e en skin ones and acial ea u es.
3. Tools and Fea u es Enabling AR Expe iences
• No able AR ini ia i es by Nykaa include:
• "T y On" ea u e in p oduc lis ings, allowing use s o
es shades o lips icks, blushes, o eyeline s i ually.
• Nykaa Mi o (AR-powe ed ool o makeup ial)
in eg a ed wi h came a and pho o upload op ions.
• In eg a ion o hi d-pa y AR pla o ms such as ModiFace
(used by L’O éal and pa ne s) o in-house de eloped ech
o eal- ime simula ions.
4. Impac on Use Engagemen and Decision-Making
• Augmen ed eali y imp o es use con idence in online
beau y pu chases by add essing common conce ns such as:
• Whe he a shade sui s hei skin one.
• Visualizing ex u es, inishes, and ones be o e adding
i ems o ca .
• Helps educe p oduc e u ns and dissa is ac ion by
c ea ing a mo e in o med pu chase p ocess.
5. Quan i a i e Insigh s and Use Beha io Da a ( om
public sou ces & pla o m analysis)
• Nykaa’s AR ea u es ha e shown signi ican engagemen :
• P oduc s wi h “T y On” unc ionali y ha e eco ded up o
50% highe in e ac ion a es compa ed o s a ic lis ings.
• Use o AR ools co ela es wi h con e sion a e inc eases
o app oxima ely 20–30%, as pe indus y insigh s.
• On a e age, use s who engage wi h AR ea u es spend
1.8x mo e ime on p oduc pages han non-AR use s.
• AR-suppo ed p oduc ca ego ies (especially lips icks and
ounda ions) show a lowe e u n a e, sugges ing be e
pu chase sa is ac ion.
6. Enhancing Cus ome In e ac ion and Expe ience
• AR ools p omo e in e ac i e and imme si e engagemen ,
which s eng hens cus ome loyal y.
• The abili y o isualize p oduc s in a pe sonalized, i ual
se ing eplica es he in-s o e expe ience digi ally, hus
en iching digi al in e ac ion.
7. Resea ch Emphasis
• This objec i e aims o explo e:
• The ole o AR in shaping cus ome beha io on Nykaa’s
digi al pla o ms.
• The ex en o which AR imp o es p oduc disco e y,
engagemen , and pu chase con idence.
• The measu able ou comes o AR implemen a ion in e ms
o pla o m usabili y and business pe o mance.
Objec i e 3
To ou line Nykaa’s omnichannel e ail s a egy and i s ole
in ensu ing a cohesi e shopping expe ience
1. Pu pose and Rele ance o he Objec i e
• This objec i e aims o examine Nykaa’s omnichannel
e ail s a egy, which blends online and o line e ail
o ma s o p o ide a seamless and in eg a ed cus ome
expe ience.
• As consume beha io becomes inc easingly dynamic, a
uni ied shopping jou ney ac oss digi al and physical
ouchpoin s is c ucial o main aining engagemen and
b and loyal y.
2. O e iew o Nykaa’s Omnichannel S a egy
• Nykaa ope a es on an in en o y-led online model and a
physical e ail p esence, o e ing cus ome s he lexibili y
o b owse, buy, e u n, and engage wi h p oduc s ac oss
mul iple channels.
The s a egy in eg a es:
o Nykaa.com and he Nykaa mobile app
o O e 145 physical s o es ac oss India (including Nykaa
Luxe and Nykaa on T end)
o Social media pla o ms, li e shopping, and in luence
collabo a ions
3. Key Componen s o Omnichannel In eg a ion
• Uni ied Cus ome Da a Pla o m:
• Cus ome p o iles, p e e ences, and pu chase his o ies a e
synch onized ac oss pla o ms, enabling a 360-deg ee
iew o he cus ome .
• Click-and-Collec / In-S o e Pickup:
• Use s can place o de s online and collec hem om nea by
physical ou le s.
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S o e Loca o and In en o y Visibili y:
• The app and websi e show s o e a ailabili y, ensu ing
p oduc access is anspa en ac oss ouchpoin s.
• Pe sonalized In-S o e Se ices:
• Beau y ad iso s and i ual consul a ion ools in physical
s o es enhance he pe sonalized se ice al eady o e ed
online.
Consis en B anding and P omo ions:
• O e s, loyal y ewa ds, and campaign hemes a e aligned
ac oss online and o line pla o ms, ensu ing con inui y in
he b and expe ience.
4. Quan i a i e Indica o s ( om public da a and pla o m
insigh s)
• Nykaa’s physical s o es con ibu ed o o e 10–15% o
o al e enue (as pe in es o epo s).
• Cus ome s who engage ac oss bo h online and o line
channels ha e shown 30–40% highe a e age o de
alues.
• Omnichannel shoppe s epo edly ha e a highe e en ion
a e han online-only cus ome s.
• O e 70% o Nykaa’s online o de s a e om epea
cus ome s—an indica o o sa is ac ion wi h he seamless
shopping expe ience.
5. Impac on he Cus ome Expe ience
• Nykaa’s s a egy ensu es a luid ansi ion be ween
disco e y, ial, and pu chase—whe he a use s a s online
and inishes o line, o ice e sa.
• Enables cus ome s o access pe sonalized suppo , p oduc
educa ion, and con enience a e e y s age o he shopping
jou ney.
6. Resea ch Emphasis
• To explo e how Nykaa synch onizes i s physical and
digi al channels o a uni ied b and expe ience.
• To e alua e cus ome sa is ac ion and loyal y associa ed
wi h omnichannel o e ings.
• To analyze beha io al pa e ns o use s in e ac ing wi h
bo h online and o line pla o ms.
• To unde s and how omnichannel in eg a ion con ibu es o
sales g ow h and ope a ional e iciency.
Objec i e 4:
To illus a e how Nykaa le e ages da a analy ics o gain
insigh s in o consume p e e ences and e ine i s ma ke ing
ini ia i es
1. Pu pose and Rele ance o he Objec i e
• This objec i e aims o explo e how da a analy ics plays a
s a egic ole in decoding consume beha io on Nykaa’s
pla o ms and using hose insigh s o d i e a ge ed
ma ke ing, p oduc posi ioning, and cus ome
e en ion.
• Unde s anding his mechanism is c i ical o app ecia ing
how mode n e-comme ce pla o ms build da a-d i en
pe sonaliza ion and main ain a compe i i e ad an age.
2. O e iew o Nykaa’s Use o Da a Analy ics
• Nykaa collec s as olumes o s uc u ed and
uns uc u ed da a om:
• Use b owsing beha io
• Pu chase his o y
• P oduc e iews and a ings
• Engagemen on social media and campaigns
• This da a is p ocessed using analy ics ools and AI/ML
models o iden i y buying pa e ns, p e e ences, p ice
sensi i i y, and seasonal ends.
3. Key Da a-D i en Applica ions in Ma ke ing
• Pe sonalized Campaigns: Tailo ed push no i ica ions,
emails, and app banne s based on pas use in e ac ions.
• Cus ome Segmen a ion: Ca ego izing use s in o mic o-
segmen s based on li es yle, spending, and beau y
p e e ences.
• P edic i e Analy ics: Fo ecas ing ends and in en o y
needs using consume demand modeling.
• C oss-Selling and Upselling: AI-d i en sugges ions based
on p e iously b owsed o bough i ems.
• Dynamic P icing and Discoun s: Real- ime p icing
s a egies depending on cus ome p o ile and ma ke
beha io .
4. Quan i a i e Indica o s and Examples
• Nykaa’s pe sonaliza ion engine con ibu es o o e 35% o
o al con e sions, acco ding o indus y epo s.
• O e 60 million app use s gene a e da a ha helps e ine
campaign e ec i eness h ough A/B es ing and click-
h ough analysis.
• Campaigns ailo ed ia consume analy ics ha e shown a
25–40% inc ease in engagemen compa ed o non-
a ge ed p omo ions.
• Repea cus ome a e exceeds 70%, a s ong sign o
e ec i e e en ion s a egies suppo ed by da a insigh s.
5. Impac on Business and Cus ome Sa is ac ion
• The use o analy ics has led o highe e u n on
ma ke ing in es men (ROMI), imp o ed use
sa is ac ion, and mo e e icien in en o y and
p omo ional planning.
• Enhanced pe sonaliza ion os e s a s onge emo ional
connec ion wi h cus ome s, encou aging loyal y.
6. Resea ch Emphasis
• To iden i y he ypes and sou ces o consume da a used by
Nykaa.
• To unde s and how analy ics ools a e applied o
beha io al and p e e ence modeling.
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• To examine he ela ionship be ween da a-d i en
ma ke ing and cus ome engagemen .
• To analyze he ole o analy ics in campaign op imiza ion
and con e sion a e imp o emen .
Co e Findings om he Objec i es
1. AI-D i en Pe sonaliza ion:
• Nykaa’s use o a i icial in elligence (AI), including
machine lea ning (ML) and na u al language p ocessing
(NLP), enhances he pe sonaliza ion o p oduc
ecommenda ions, d i ing highe engagemen and
con e sion a es. AI-based ea u es, such as pe sonalized
eeds and p oduc sugges ions, con ibu e o 30–35% o
con e sions, esul ing in a 25–40% inc ease in baske
alue.
2. Augmen ed Reali y (AR) Engagemen :
• The implemen a ion o augmen ed eali y (AR) ea u es,
such as i ual y-ons o p oduc s like lips icks and
ounda ions, signi ican ly boos s cus ome engagemen .
P oduc s wi h AR ea u es see 50% highe in e ac ion
a es, and AR-d i en shopping expe iences lead o 20–30%
highe con e sion a es. This echnology also helps educe
p oduc e u n a es by enabling mo e in o med pu chasing
decisions.
3. Omnichannel S a egy:
• Nykaa’s omnichannel s a egy in eg a es i s online
pla o ms wi h 145+ physical s o es, o e ing a cohesi e
cus ome jou ney ac oss digi al and physical ouchpoin s.
This app oach no only suppo s highe cus ome e en ion
a es bu also inc eases a e age o de alues by 30–40%
o omnichannel shoppe s. Addi ionally, he physical
s o es con ibu e 10–15% o he company’s o al e enue.
4. Inc eased Cus ome Loyal y and Re en ion:
• The combina ion o AI pe sonaliza ion, AR-d i en
expe iences, and seamless omnichannel se ices esul s in
s onge cus ome loyal y, wi h 70% o online o de s
coming om epea cus ome s. Omnichannel shoppe s
exhibi highe engagemen and a g ea e likelihood o
epea pu chases compa ed o hose who shop on a single
pla o m.
5. Enhanced Use Expe ience:
• The use o AI and AR echnologies has led o an imp o ed
o e all use expe ience, ma ked by pe sonalized
in e ac ions, inc eased pu chase con idence, and enhanced
p oduc disco e y. These ac o s collec i ely con ibu e o
highe sa is ac ion and b and loyal y.
Key Sugges ions o Nykaa:
1. Expand AI Capabili ies:
• Fu he enhance he ecommenda ion engine by
inco po a ing mo e ad anced p edic i e analy ics and
pe sonalized con en based on e ol ing cus ome
p e e ences, ends, and seasonal changes.
2. Enhance AR Fea u es:
• B oaden he ange o p oduc s a ailable o i ual y-ons
(e.g., skinca e, ag ances) and con inuously imp o e he
accu acy o AR simula ions o ensu e a mo e seamless and
ealis ic expe ience.
3. Omnichannel In eg a ion:
• S eng hen c oss-channel cus ome se ice, ensu ing ha
bo h online and in-s o e expe iences a e consis en ly
aligned, especially in e ms o loyal y ewa ds and
p omo ions.
4. Le e age Da a o Pe sonaliza ion:
• Inc ease he use o cus ome eedback (e.g., e iews and
su eys) o ine- une p oduc ecommenda ions and
p omo ional o e s, ensu ing a mo e ailo ed and
esponsi e shopping expe ience.
5. Sus ainabili y Focus:
• In eg a e sus ainabili y il e s in AI and AR ools o ca e
o he g owing demand o eco-conscious beau y p oduc s,
allowing cus ome s o make in o med, sus ainable choices.
6. Enhanced Mobile Expe ience:
• Focus on op imizing he mobile app o smoo he AR
in e ac ions and as e load imes, as mobile engagemen
con inues o g ow.
CONCLUSION
Nykaa has eme ged as a leade in India’s beau y and li es yle
e ail sec o h ough he s a egic in eg a ion o ad anced
echnologies. Le e aging AI, i o e s pe sonalized
ecommenda ions ha boos use expe ience and con e sions.
Augmen ed eali y ools, like i ual y-ons, enhance cus ome
con idence and educe e u ns. Da a analy ics enables a ge ed
ma ke ing, in en o y op imiza ion, and in o med decision-
making. Nykaa’s obus omnichannel app oach—combining e-
comme ce wi h 145+ physical s o es—ensu es a seamless
shopping expe ience. This ech-d i en, cus ome -cen ic model
os e s engagemen , loyal y, and accessibili y. By se ing new
s anda ds in digi al e ail, Nykaa no only d i es ope a ional
e iciency bu also secu es i s posi ion a he o e on o he
beau y indus y.
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