Personalized Lash Recommendation Experiences

LashLovr Helps Shoppers Find Styles That Fit Best

To transform how consumers discover and shop for false lashes, True Beauty Lashes developed LashLovr, powered by Perfect Corp.'s Virtual Try-On and Face Analyzer APIs. Even though many lashes are marketed as one-size-fits-all, fit is what gets in the way of people finding their ideal match, and this experience combines real-time visualization with smart lash matching to offer a highly personalized experience that boosts confidence and reduces friction.

This proprietary lash matching experience recognizes that eye shape, facial proportions, and personal preferences all play a part in finding a style that fits, and provides access to a catalog of styles for daytime and nighttime wear. Recommendations are informed by research-backed facial harmonization fundamentals and insights gathered from hundreds of professional makeup artists.

AI-powered Virtual Try-on
Hyper-personalized virtual try-on that predicts product fit with high accuracy, potentially displacing generic one-size-fits-all offerings.
Facial Harmonization Personalization
An emphasis on facial proportions and eye-shape analysis informing aesthetic recommendations that could redefine product design standards.
Data-driven Beauty Recommendations
Recommendation systems trained on professional makeup-artist insights and user preferences that enable curated catalogs tailored to occasion and individual morphology.

Where This Applies

Beauty Retail
Retail experiences incorporating real-time fit visualization and smart matching that may shift consumer expectations toward personalized shopping journeys.
AR Software Platforms
Augmented reality and face-analysis APIs powering high-fidelity visualization that could become core infrastructure for beauty and fashion commerce.
Cosmetic Education and Training
Training programs augmented with data-backed harmonization principles and virtual demos that might transform how professionals learn product selection and application.
SCORE
8.5 out of 10
GENDER
10% Men90% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 85%
Activity 84%
Freshness 85%

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