AI Facial Skin Analyzer
- Personalization Product Recommendations
- Personalization skincare routines
- Increased Average Order Value

A skin data-based beauty & healthcare platform, which provides a customized solution through accurate skin analysis.
Effortlessly assess your skin condition with unparalleled accuracy using just 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%.
Find out moreDeep 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.

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.

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

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.

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

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

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.


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

Personalization skincare routines
Customized skincare routines designed to address an individual's unique skin type, concerns, and goals, providing a more personalization and optimized approach to skincare.

personalization 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.
Your e-shop
personalization product recommendations and skincare routines based on a customer's specific skin condition and 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 personalization skincare recommendations, e-shop businesses can differentiate themselves in a competitive market, attract a wider customer base, and potentially increase average order value through upselling or cross-selling relevant products.
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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 personalization skincare recommendations, e-shop businesses can differentiate themselves in a competitive market, attract a wider customer base, and potentially increase average order value through upselling or cross-selling relevant products.
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personalization product recommendations
AI-powered face age analysis enables personalization recommendations based on a customer’s specific skin condition and age, leading to higher customer satisfaction and engagement.
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Enhanced customer experienceEnhanced customer experienceEnhanced customer experience
By offering tailored skincare solutions, the e-commerce platform provides a more personalization and relevant shopping experience, fostering customer loyalty and repeat purchases.
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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.
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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.
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Competitive differentiation
By leveraging face age analysis technology, e-commerce businesses can stand out from competitors by offering a unique and personalization shopping experience, attracting new customers and retaining existing ones.
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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.
INTEGRATE WITH YOUR APP
SDK / API
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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.
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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.
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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.
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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.
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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.
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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.
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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