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BEAUTÉ
PROJECT OVERVIEW
BEAUTÉ app’s face mapping technology revolutionizes the way users shop. The app utilizes advanced facial recognition algorithms to understand features, preferences and skin conditions creating a personalized shopping experience like never before.
Role: Concept Development, Research, Prototyping, User Testing, Product Design
Tools: Adobe Creative Suit, Figma
PROBLEM STATEMENT
In the realm of beauty and skincare shopping, consumers face challenges
in making personalized purchasing decisions.
The absence of a smart tool that takes into
account individual facial features, skin conditions, and preferences results in
a lack of confidence in 
product selection.
PROJECT IDEA
Traditional methods that solely rely on reviews
or attempting to match products to one’s features through trial & error, often leads
to dissatisfaction.
There is a need for an intelligent 
and user friendly solution that harnesses facial recognition.
QUANTITATIVE RESEARCH
PRIMARY AUDIENCE


Women aged 18-40
This group is inclined towards more outdoor activities and utilization of beauty products.
A greater proportion of women within this
age bracket exhibit interest for exploring
diverse brands, seeking out more products
and experiences that align with their
individual preferences and requirements.

SECONDARY AUDIENCE


Women aged 40+
The secondary demographic consists of individuals aged 40 and older, showing a preference for skincare products that offer minimal risk of skin irritation. A notable proportion of this demographic exhibits brand loyalty, consistently selecting products that are well-suited to their skin type.
USER JOURNEY
HOW MIGHT WE
SURVEY FINDINGS
TARGET AUDIENCE SURVEY


A vast array of cosmetic beauty products are used by consumers. According to reports a higher percentage of women between ages 18-64 wear makeup everyday.
Nearly 4 in 6 women spends
money on beauty and wellness.
Survey report represents an
average user is distributed
between ages 25-60.

FINDINGS
In the contemporary beauty market of
buying in-store, users encounter challenges in identifying products that 
perfectly suit
their unique skin types.
Despite an inclination towards in-store purchase among a significant portion
of users, the landscape is witnessing
a transformative shift towards online shopping, catalyzed by advancements
in AI technology. 

RESULTS



The online shopping landscape 
has undergone significant evolution for users seeking convenience and variety.
The convenience factor associated with online shopping has emerged significantly,
surpassing the importance of in-store purchases. Furthermore, the limited availability of products in stores, needs
the appeal of online platforms, offering
an extensive array of options for users
at their fingertips.

USER JOURNEY
PERSONA 1
TASK FLOW 1
TASK FLOW 1
PERSONA 2
TASK FLOW 2
WIREFRAMES
STYLEGUIDE
TESTING
HI-FI MOCKUPS & PROTOTYPING
CONCLUSION
KEY LEARNINGS:
The importance of personalized experiences in the beauty industry. 
The efficiency of AI driven technologies in enhancing user engagement 
and satisfaction. The significance of continuous refinement based on user feedback and data analytics.


FUTURE DIRECTIONS:
Further integration of AI capabilities to provide real-time skincare analysis. Expansion of the application to include additional beauty categories beyond skincare. Collaboration with skincare experts and dermatologists to enhance 
the accuracy and effectiveness.
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