eCommerce - Health & Beauty

AI That Understands Your Skin

goal

Challenge Faced

Beauty shoppers often struggle to pick the right skincare products for their skin type or concerns. Wrong purchases not only cause dissatisfaction but also increase returns.

solution

Our Solution

We implemented an AI-powered skin analysis tool that scans customer selfies, identifies skin concerns (acne, dryness, pigmentation), and recommends personalized product matches.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Customer uploads a selfie or uses live camera.

Step 2

AI runs skin condition detection via computer vision.

Step 3

Match detected concerns with product database.

Step 4

Recommend curated product set with education.

Quantifiable Benefits

Increase in conversion rates
%
Reduction in product returns
0 %
Higher engagement time on site/app
%
Boosted customer trust with science-backed suggestions
0 %

Who’s Using This

Beauty retailers (Sephora, Nykaa)

Innovation 1

Skincare brands with D2C eCommerce presence

Innovation-2

Dermatology-linked wellness startups

Private Surgical Training Institutes

Why It Matters

Personalized product matching removes guesswork, improving sales and customer satisfaction while building long-term brand trust.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

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