What SkinAi Does
Everything you need to personalize the skincare experience at scale.
AI Skin Scan
Selfie-based analysis detects skin concerns instantly. Shoppers get personalized insights before checkout.
Smart Quiz
Adaptive quiz journeys ask the right questions. Results stay consistent with your brand voice and tone.
Concern Matching
Tag your catalog by skin type, concern, and ingredients. Products are automatically recommended to relevant shoppers.
Analytics Dashboard
Track scans, completion rates, add-to-cart, trending concerns, and top products. Optimize in real time.
How SkinAi Works
From Uncertain Shoppers to Confident Buyers - How SkinAI Works
No coding, no design background. The guided setup walks you from installing the app to personalizing your first customer experience - here's exactly what happens at each step.
Install the app and configure your store
Install SkinAI from the Shopify App Store, then open it in your admin. A quick welcome screen lays out what's ahead - choose your scan placement (floating button, header, footer, or product page), then tag your catalogue by skin type and concerns. You'll map products to conditions like oiliness, sensitivity, acne, and ageing so the AI knows which recommendations to show.
Shoppers take a scan or quiz
Your customers see the SkinAI scan widget on your storefront. They can either upload a selfie for AI analysis (our system detects skin type, concerns, and texture in seconds) or take the Smart Quiz for a guided journey through questions about their skin. Both paths generate a personalized skin profile in real time.
Personalized product recommendations appear
Based on their scan or quiz results, customers see a curated list of products matched to their skin profile. Each recommendation includes why it's a good fit - "This gentle cleanser is perfect for sensitive, oily skin" - so they understand the reasoning. Recommendations stay on-brand and inventory-accurate because they're powered by your own product tags.
Track insights and optimize continuously
Head to your SkinAI dashboard to see every interaction: total scans, completion rates, which products customers add to cart, trending concerns, and performance metrics. Use this data to refine your product tags, adjust your quiz, or feature different products. The more data you have, the smarter your recommendations get.
Why Skincare Personalization?
Why Skincare Brands Choose SkinAI
Personalization is no longer a nice-to-have. It's what drives conversions in skincare commerce.
Uncertain Shoppers
Skincare buyers need guidance. Without it, they abandon carts. SkinAI matches products to actual skin concerns in real time.
Low Conversion Rates
Generic product recommendations don't work. Personalized matches increase add-to-cart rates and average order value.
Limited Shopper Data
You don't know your customers' skin types or concerns. SkinAI surfaces insights through AI scans and smart quizzes, improving targeting and retention.
Two sides, one tool
Effortless for shoppers. Controlled for you.
Personalization usually means either a better experience for the buyer or tighter control for the merchant. SkinAI is built so you don't have to pick.
For your shoppers
A personalized journey they'll want to complete
- Take a selfie or quick quiz - get personalized insights in seconds
- See exactly why each product matches their skin profile
- Discover solutions to concerns they didn't know how to solve
- Feel confident in their purchase because the recommendation is tailored to them
For you, the merchant
Guardrails that keep personalization on-brand and profitable
- Tag products once - recommendations update automatically as inventory changes
- No-code control over scan placement, quiz questions, and product mappings
- Real-time analytics show which concerns drive conversions and which products win
- Optimize continuously without touching code or hiring developers
Turn your shoppers into confident buyers - powered by their skin.
SkinAI does the personalization, so you can focus on what matters: building a skincare brand that people trust.
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