How we built BeautyQlick's AI beauty recommendation platform

BeautyQlick is a next-generation beauty-tech platform designed to simplify how users discover and choose skincare and cosmetic products. The platform uses AI to analyze user preferences, skin types, and behavior to deliver highly personalized product recommendations.

Beauty & skincare marketplace
Ongoing partnership

Inside the build

Screens, flows and designs from the build.

6 images from the BeautyQlick project. Select any image to see it larger.

BeautyQlick product discovery on a laptop and a phone — **Discovery on desktop and mobile**Select an image to open the viewer, then use the arrow keys or swipe to move through all 6 images.

BeautyQlick account registration screen on a tablet — **Onboarding**User onboarding and preference data feed an AI recommendation engine that adapts suggestions as behavior and feedback accumulate.

BeautyQlick mobile product screen — **Mobile product view**Comparison and profile tracking tools let users evaluate products side by side and build a personalized beauty profile over time.

BeautyQlick on a laptop, a phone and a tablet — **Across devices**

BeautyQlick popular picks, trends and community screens on foldable phones — **Trends and community**

BeautyQlick hair care category page on a laptop — **Category browsing**

About the project

About BeautyQlick.

BeautyQlick is an AI-powered beauty discovery platform that helps users find, compare, and track skincare products through personalized recommendations and community-driven insights.

It also lets users compare products, track favorites, and explore community-driven insights, creating a more transparent and efficient beauty shopping experience.

Client: BeautyQlick
Industry: Beauty & skincare marketplace
Engagement: Ongoing partnership
Services: AI & Automation, Recommendation systems, Product design

The challenge

Finding the right beauty products online is difficult due to overwhelming options, lack of personalization, and unreliable reviews. Users often switch between multiple platforms, spend hours researching, and still end up purchasing products that don't suit their needs.
Each individual's skin reacts differently, making generic recommendations ineffective and increasing trial-and-error purchases.

What we built

We designed a personalized AI-driven platform that transforms the beauty discovery experience.

Personalized Recommendation System: built an AI-powered engine that suggests products based on user preferences, skin type, and behavior.
Product Discovery & Comparison: designed intuitive interfaces to explore, compare, and evaluate beauty products easily.
User Profile & Tracking System: enabled users to track favorites and maintain a personalized beauty profile.
Community Insights Integration: incorporated user reviews and behavior data to improve recommendation accuracy.

The result

Personalized, AI-driven recommendations helped users find the right products faster and with more confidence, reducing the trial-and-error cycle common in online beauty shopping.

What we worked on

What the build covered.

01AI & Automation
02Recommendation systems
03Product design

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