Sell more through AI personalization

AI Skin Analysis

  • Personalized Product Recommendations
  • Personalized skincare routines
  • Increase in Average Order Value
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Leverage Face Age for personalized beauty in your online shop or related applications, utilizing its skin data platform for tailored solutions through accurate analysis.

Analysis on 7 different skin-related parameters

Easily evaluate skin condition with high accuracy from a single image.

With a vast database of over 2 million skin data from across the globe, FaceAge offers precise skin analysis, ensuring an impressive accuracy rate of over 92%.

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Deep Wrinkles

Pronounced and well-defined creases that often occur in areas of repetitive facial muscle movement or as a result of prolonged sun exposure and skin aging.

Deep Wrinkles
4 /9 SKIN SCORE

Pores

Small openings on the skin's surface that allow sweat and sebum to reach the skin's surface; larger or more visible pores can give the skin a rough or uneven texture.

Pores
5 /9 SKIN SCORE

Acne

A common skin condition characterized by the presence of pimples, blackheads, or whiteheads caused by clogged pores, excess oil production, and inflammation.

Acne
7 /9 SKIN SCORE

Wrinkles

Fine lines or creases that develop on the skin's surface due to a loss of elasticity and collagen, often associated with the natural aging process.

Wrinkles
8 /9 SKIN SCORE

Eye Bag

Swelling or puffiness beneath the eyes, typically caused by fluid retention, fatigue, or genetic factors, resulting in a tired or aged appearance.

Eye Bag
9 /9 SKIN SCORE

Pigmentation

Refers to the presence of uneven skin coloration, such as dark spots or patches, caused by an overproduction of melanin.

Pigmentation
2 /9 SKIN SCORE

Eye Wrinkles

Fine lines or wrinkles that specifically develop in the delicate skin around the eyes, usually associated with facial expressions, aging, and reduced skin elasticity.

Eye Wrinkles
4 /9 SKIN SCORE

Increase in Average Order Value

The average monetary value of customer orders is raised through upselling, cross-selling, or bundling strategies, leading to higher overall revenue and profitability.

Personalized skincare routines

To get the best results from your skincare routine, you should analyze your skin type, concerns, and goals and customize your regimen accordingly. This way, you can achieve healthy, radiant skin that looks and feels its best.

Personalized Product Recommendations

Tailored suggestions for skincare products based on an individual's specific needs, concerns, and preferences, ensuring a more targeted and effective skincare regimen.

E-Commerce Integration

Face Age has developed plugins that are specially designed for Shopify and WooCommerce. These plugins can be easily installed and configured, streamlining the integration process and minimizing technical challenges for online store owners.

E-Commerce Integration
E-Commerce Integration
Your AI Powered Online Shop

E-commerce AI Powered by Face Age

This level of customization can enhance customer satisfaction, increase customer loyalty, and drive sales by providing targeted solutions that cater to individual needs and concerns. Additionally, by offering personalized skincare recommendations, e-shop businesses can differentiate themselves in a competitive market, attract a broader customer base, and potentially increase average order value through upselling or cross-selling relevant products.

  • Personalized product recommendations

    Personalized product recommendations

    AI-powered face age analysis enables personalization recommendations based on a customer’s skin condition and age, leading to higher customer satisfaction and engagement.

  • Enhanced customer experience

    Enhanced customer experience

    By offering tailored skincare solutions, the e-commerce platform provides a more personalized and relevant shopping experience, fostering customer loyalty and repeat purchases.

  • Increased sales and conversion rates

    Increased sales and conversion rates

    Face age analysis allows for targeted marketing campaigns, resulting in higher conversion rates as customers are presented with products that directly address their skincare needs based on their age and skin condition.

  • Improved product assortment and inventory management

    Improved product assortment and inventory management

    AI-powered analysis of customer preferences and age-related skincare concerns helps e-commerce businesses optimize their product assortment and inventory, reducing wastage and stocking products that align with customer demand.

  • Competitive differentiation

    Competitive differentiation

    By leveraging face age analysis technology, e-commerce businesses can stand out from competitors by offering a unique and personalized shopping experience, attracting new customers, and retaining existing ones.

  • Upselling and cross-selling opportunities

    Upselling and cross-selling opportunities

    AI-powered face age analysis provides insights into specific skincare concerns and allows for strategic upselling or cross-selling of complementary products, increasing the average order value and overall revenue.

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Analyze with a single image
Analyze live camera
Personalization product recommendations
Increased sales and conversion rates

Integrate with your app

SDK / API

  • Targeted marketing

    Targeted marketing

    Targeted marketing and advertising: By understanding the user’s age through face age analysis, apps can deliver more relevant and targeted marketing messages or advertisements, leading to higher engagement and conversion rates.

  • Age-specific

    Age-specific

    Age-specific content or services: Apps can provide age-specific content, services, or functionalities based on the user’s face age, ensuring that the app caters to the unique requirements or interests of different age groups.

  • Health and wellness

    Health and wellness

    Health and wellness insights: In healthcare or wellness apps, face age analysis can offer insights into the user’s skin condition, aging process, or potential health risks, promoting preventive care and tailored wellness recommendations.

  • Beauty and skincare

    Beauty and skincare

    Beauty and skincare recommendations: Apps related to beauty or skincare can leverage face age analysis to provide personalization product recommendations, skincare routines, or anti-aging tips based on the user’s age and skin condition.

  • Age verification

    Age verification

    Age verification and security: Face age analysis can be utilized for age verification purposes, ensuring compliance with age-restricted content or services and enhancing app security by providing an additional layer of authentication.

  • Personalization user experience

    Personalization user experience

    Personalization user experience: Face age analysis in an app allows for customized content, recommendations, or features based on the user’s age and specific needs, enhancing the overall user experience.


Example App powered by Face Age


Fully compatible for a mobile experience

Mobile-optimized face age analysis algorithms deliver instant results without delays, ensuring quick and efficient analysis on the go.

Mobile devices are portable and readily accessible, allowing users to capture their face image or utilize the front-facing camera for face age analysis conveniently on the go.

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Mobile-optimized face age analysis algorithms deliver instant results without delays, ensuring quick and efficient analysis on the go.

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Call us for free consultation of using Face Age in your business

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