What is
Facial Zone Makeup Lab?
An application computation module that converts skin analysis
and aesthetic intent analysis results into actual product recommendation structures.
An application computation module
that converts skin analysis
and aesthetic intent analysis results
into actual product recommendation structures.
Data Acquisition
Collects skin data through
the PBV (Preferred Beauty Vector)
analysis engine.
Facial Zone Algorithm
Separates the face into base,
contour, eye, and lip zones
and applies logic tailored to each area.
Personalized
Product Matching
Completed with a precisely matched
recommendation set of shade,
formulation, saturation,
and brightness values.
Base Zone Makeup
Analyzes skin brightness, color temperature,
and reflectance to optimize shade precision
characteristics. The AI makeup engine computes
skin data and formulation properties to calculate
the optimal base combination.
# Primer # Foundation # Cushion # BB Cream
# CC Cream # Concealer # Color Corrector
# Powder (Loose/Pressed) # Fixer
Base Zone Makeup
Eye Zone Makeup
Analyzes skin tone and eye structure to design
optimal eye makeup. The AI makeup engine
precisely calculates shadow and eyeliner
combinations based on eye proportions
and shading data.
Eye Zone Makeup
# Eyeliner # Eye Shadow # Mascara
# Eyebrow # Aegyo-sal # Glitter
# Eye Primer # False Lashes
Lip Zone Makeup
Analyzes skin harmony and lip shape to design
lip makeup suited to facial impressions. The AI
makeup engine analyzes color development spectrum
and saturation data to match the optimal lip color.
Lip Zone Makeup
# Lip Liner # Lip Plumper # Lipstick
# Tint # Gloss # Lip Balm
Contouring Zone Makeup
Calculates shading and reflection balance
based on facial structure data. The AI makeup
engine analyzes facial 3D structure to calculate
shading, blusher, and highlighter positions.
Contouring Zone Makeup
# Shading # Highlighter # Bronzer
# Blusher # Contouring
Clearly proven business impact
by many cases
+14%
Sales
Contribution
Of the total store sales, the share generated
from purchases after Twinit
experience averaged 14%.
×3
Walk-in
Customer Increase
The number of visitors to offline stores
that adopted Twinit AI increased
to an average of 200% compared to before.
+67%
Online Traffic
Connection Rate
Average monthly sales increased by 67% per
store during the Twinit solution
deployment period.
