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The global skincare market is projected to grow at an annual rate of 3.53% (CAGR 2025-2030). Nowadays, beauty tech is reshaping the entire industry. Customized skincare recommendations are a part of personalized marketing that is transforming the beauty and skincare space. Today, consumers expect brands to recognize their unique needs and provide personalized shopping experiences

Since e-commerce has become an evolving sector of the beauty and cosmetics market, customized product recommendations will adjust to new challenges and introduce the latest solutions to diversify your customers’ shopping journeys. AI plays an important role in this segment. 

In skincare ecommerce, consumers can’t completely understand their skin, which will result in disappointing trial-and-error shopping experiences. On the other hand, ecommerce brands are also struggling with the challenge to offer their customers the right skincare products. AI-customized skin care recommendation software fills this gap for brand owners and consumers of beauty e-commerce. 

Therefore, it is worth spending a few days playing around with AI customized skincare recommendation software for beauty e-commerce. Based on my findings, I have selected 5 software solutions to help brands offer consumers a personalized skincare journey. Here, I am presenting them:

5 Best AI-customized skincare recommendation software for beauty e-commerce

  1. GlamAR (Best for suitable skincare product alternatives)
  2. Perfect Corp (Best for AI skincare recommender)
  3. Haut.AI (Best for AI-driven skin simulations)
  4. PulpoAR (Best for customized skincare recommendations)
  5. Orbo AI (Best for beauty recommendation engine)

Glance at the table of the best AI-customized skincare recommendation software for beauty e-commerce

Software Best for
GlamAR Suitable skincare product alternatives
Perfect Corp AI skincare recommender
Haut.AI AI-driven skin simulations
PulpoAR Customized skincare recommendations
Orbo AI Beauty recommendation engine

What is an AI customized skincare recommendation software?

By adopting smart devices, wearables, and AI technology, the beauty industry is shifting its focus from sales to personalized experiences. The technology uses demographic data, environmental factors, and past purchases to provide customized skincare recommendations. For this, the AI-driven system works based on the machine learning models trained on massive datasets. It continuously learns from user interactions. 

Thus, it can recognize the patterns that will lead to more accurate and effective recommendations for your customers. As a result, you can help your shoppers reach their skincare goals. AI-powered computer vision tools analyze consumers’ images. Then, it will extract key insights about skin texture, tone, and specific concerns like acne, fine lines, or dryness. Integrating skin analysis into your product databases enables highly personalized product recommendations for your customers.  

Best AI customized skincare recommendation software for beauty ecommerce

I performed testing and tried the free trials of each software mentioned in my list. Based on my research and evaluation, these are the best AI customized skincare recommendation software

1. GlamAR

GlamAR brings an AI skin analyzer tool to analyze your customers’ skin conditions. On top of this, it offers suitable solutions through product recommendations if you are looking to promote your brand’s products within its skin analyzer platform. 

Using this tool, you can connect your shoppers with customized solutions from your product lines. It will help you enhance sales. On the plus side, your customers will get an opportunity for a live diagnosis. I tried and tested it.

Features: 

  • Interactive skin analysis:  GlamAR’s AI skin analyzer can scan your consumer's face and give accurate skin diagnostics. It delivers detailed skin analysis reports in seconds. Most importantly, this tool needs no special device. 
  • Accurate product recommendations: GlamAR offers AI-powered skin analysis to provide your customers with customized product suggestions. It will fulfill your shoppers’ unique skin concerns. The facial skin analysis tool analyzes ingredients and maps them to their skin issues. 
  • In-store integration: You can add GlamAR’s Skin Analysis SDK to your e-commerce website and offer in-store experiences. It can detect 15+ skin health and beauty metrics, along with tailored skincare products. In this way, you can facilitate your customers with online as well as in-store personalized shopping. 

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2. Perfect Corp

It takes the crown to offer an AI-driven skin analysis tool, verified by dermatologists. The tool provides skin assessment for your customers that enables customized skincare routines and solutions. It uses diagnostic tools and full face mapping technology. Brand owners can integrate this technology into their websites, apps, and other e-commerce platforms. 

The best part is: it features skincare recommendations. The AI-powered skincare recommender scans and analyzes product data, including names, descriptions, images, and categories. As a result, you will receive accurate product suggestions tailored to consumers with diverse skin types. 

Features: 

  • Skincare product recommendations: You can easily build a personalized skincare regimen for diverse skin types with this software. You need to add a step-by-step skincare routine recommendation to the virtual skin analysis experience. The good news is that you can do this process in minutes. Plus, you can create autogenerated skin scan reports for your shoppers with no need for coding. They can download it too. 
  • 180-degree full-face mapping: The skin diagnostic technology analyzes facial images of consumers to offer a detailed skin analysis. It ensures full face coverage, including difficult-to-map areas, such as the chin and cheeks. The skin analysis method can detect different skin concerns: wrinkles, acne, etc. It is able to determine customized skincare products to deal with your customers’ skin issues. 
  • API for skincare recommendations: The Expert Mode API provides access to per-pixel raw data generated from skincare analysis. It enables brand professionals to create a custom mapping of the score. It aligns with the brand’s own clinical test dataset for the rationale behind personalized product recommendations. 

3. Haut.AI

As a beauty brand owner, when it comes to delivering personalized skincare experiences, the AI skin analysis and Gen AI SaaS solutions enable them. It delivers personalized digital experiences and accelerates product innovation. Apart from analyzing skin health and beauty metrics, the software guides consumers through a customer journey. 

It ensures diagnostic accuracy across diverse skin types. For enterprises: Haut.AI helps to create customized and brand-specific tools to turn your skincare vision into life. Also, small and medium businesses can get customizable and easy-to-integrate tools for interactive skin assessment and providing personalized product recommendations. 

Features:  

  • AI-powered recommendation engine: Haut.AI’s AI engine evaluates your consumers’ faces and identifies 15+ essential skin health and beauty metrics. Based on this skin analysis, it will also suggest the best skincare products to your customers so that they can achieve their perfect skin goals. 
  • AI skincare advisor: Haut.AI has introduced Skin.Chat to offer a personalized skincare routine in 5 steps. It includes skin analysis along with personalized product recommendations. Consumers need to upload selfies to get a detailed skin report. Instead of uploading images, they can participate in a skincare-related survey to obtain personalized recommendations. Skin.Chat creates routines based on skin condition, preferences, sensitivities, and your brand’s product availability. 
  • SkinGPT: If you add SkinGPT to your e-commerce platform, your customers will receive Gen AI-powered, realistic skin simulations. It is designed across different skin tones, types, and conditions. Most significantly, your brand can develop, display, and market skincare products with its Generative AI capabilities. 

4. PulpoAR

If your customers want a complete virtual experience, the AI-powered skin diagnostic tool of PulpoAR will detect their skin problems. Plus, it will recommend the right products to solve those skin issues. The best part is: recommended skincare products are immediately available to purchase for consumers. I found it very helpful. 

The AI suggestion tool of PulpoAR allows your customers to track the results of product usage. It will help them make a confident purchase. They can see the efficacy of their skincare routine over time. This means that they are able to see the outcomes of how your skincare products are benefiting their skin. 

Features: 

  • Customized recommendations: PulpoAR’s AI Skin Diagnostic tool provides an accurate skin assessment. It is designed for every skin type and ethnicity. It recommends customized skincare products based on your customers' specific skin concerns.
  • Face detection: The technology of the skin diagnostic tool can identify the facial features of your customers. Additionally, it helps them identify issues with specific parts of their face. 
  • Data-driven insights: You can transform data-backed insights into action with PulpoAR’s user-friendly dashboard. It helps your brand in future predictions and marketing activities. Plus, you can customize your dashboard according to the most insightful metrics and monitor it. 

5. Orbo AI

It offers AI-driven smart skin analysis that can identify the skin issues of your customers. They will also obtain the recommendations for personalized skincare products. The skin analyzer can detect different skin types and ethnicities with the accurate measurement of 209 unique facial points and 16+ skin parameters.

Brand owners can integrate the smart skin analyzer into their smart mirror, digital kiosk, website, tablet, and mobile application. In this way, you can build client relationships, as this tool can make them aware of their skin. It also helps consumers select the right skincare products for their skin type. 

Features:

  • Easy-to-use solution: The skin analysis technology can decode your customers' facial images to answer all their skin-related queries. You can add this software to your e-commerce and in-store platforms with a single line of code. It allows you to offer your customers unique skin analysis results and product suggestions.
  • Recommendation engine: The beauty AI-driven recommendation engine enables you to provide personalized beauty product recommendations. It considers individual preferences, skin tones, and facial features to offer personalized product suggestions. 
  • Skin segmentation: Orbo AI’s facial feature detection software enables modifications of consumer appearances in AR and face-tracking platforms. It uses advanced convolutional neural networks for skin segmentation technology. Its rendering can adapt effortlessly to varying lighting conditions and skin tones for realistic experiences.

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Other platforms you can explore

You have just read my entire list of what I consider to be the best AI customized skincare recommendation software. Apart from these, you can still offer skincare product recommendations with other platforms, such as:

  • IQONIC.AI: The AI-powered skin analysis software offers a customizable white-label solution for brands, retailers, and institutions. Dermatologists developed the software. Based on the needs of your customers, it uses proprietary technology to provide customized product recommendations. For this, consumers need to use their smartphone camera to scan their face multiple times to capture different angles. Then, the AI-driven software analyzes their skin to deliver personalized results and personalized recommendations. The good news is that you can integrate this software into online and in-store platforms. 
  • TINT by Banuba: It offers a skincare AI and try-on platform. For maximum personalization: the TINT platform offers skincare product recommendations via AI. The best part is that it can work on photos, videos, and live streams. Also, it is designed to work on every skin tone, even in dim lighting conditions and low-quality images. With try-on technology, the software can showcase the predicted results right on your customers’ faces. 

Brands that are using AI customized skincare recommendation software

Popular beauty and skincare brands are adopting AI-driven, customized skincare recommendation software to enhance user experience and increase sales. Let’s discover how they can use these software solutions:

1. Cetaphil India

The Cetaphil AI Skin analysis Tool assesses your customers’ skin. Based on this, it provides a tailored skincare solution for them through AI skin technology. For a customized skincare routine: consumers need to capture selfies through their mobile phone. ‘MySkin By Cetaphil' will scan their face and analyze their skin.

Finally, your customers will receive a personalized skin analysis report. Plus, they will get skincare routine recommendations, including personalized Cetaphil product suggestions. To access this tool: they can also scan the QR code with their phone. 

2. Sephora

Sephora has an AI-powered skin scanning tool. It can detect its customers’ needs for personalized product recommendations. Shoppers need to open the Sephora app and perform the smart skin scan with their selfies. As a result, they will get a personalized skin analysis along with product recommendations. 

3. Olay

Olay’s AI skin advisor can provide a personalized skincare routine. For this, consumers need to upload selfies and answer a few questions about their skin concerns and preferences. Then, they will get tailored skincare products to fit their lifestyle.

Most importantly, they are able to see their skin age and personalized product recommendations from Olay. If shoppers know their skin type and issues, they can skip skin analysis and find suitable products for their specific skin concerns with Olay’s product finder. 

4. POND’s

It features an AI skin expert that captures your customers’ real-time images for skin analysis. Then, it allows them to choose skincare products to address their skin’s present needs.

Using a smartphone with a good-quality camera and internet speed, consumers can get POND’s personalized skincare product recommendations, based on their skin's overall appearance and personalized analysis. 

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How to choose the best AI customized skincare recommendation software for beauty ecommerce?

AI skincare recommendation software is not one-size-fits-all. There are sure to be options on my list of best software solutions that are great fits for your beauty e-commerce needs. Other platforms that you can ignore for now if they have no relevance to your business. 

If you are just getting started with AI customized skincare recommendation software, I'd suggest beginning with GlamAR for AI skin analysis and personalized product recommendations. Beauty brand leaders and consumers will get value from this platform. So, you can prioritize GlamAR and Perfect Corp to offer your customers customized skincare product suggestions to deal with their skin issues. 

My suggestion is to start with a few options I have given in my list to meet your skincare brand’s evolving needs. When it comes to providing essential features for AI skin analysis and personalized skincare products, you can embrace any of the software I have listed already. 

Conclusion

With evolving AI, beauty e-commerce is expanding. In the beauty and skincare market, personalization has become a trend. Consumers now expect customized shopping solutions. So, if your brand can deliver it, you can achieve enhanced customer engagement and improvement in sales. 

To enrich your customers’ shopping journey: you need to integrate AI customized skincare recommendation software into your e-commerce platform. Many AI skincare platforms merge customer data analysis with environmental insights to offer customized skincare product suggestions. GlamAR equips your brand with the technology to lead your brand in the era of personalization. Talk to them directly. 

FAQ'S

AI cannot replace dermatologists due to limitations in generalizability and interpretability. While AI is a powerful tool for analyzing skin lesions, it cannot replace the human touch, empathy, and delicate decision-making skills of a dermatologist. Instead, dermatologists can use AI as an assistive tool.

AI customized skincare recommendation software facilitates beauty ecommerce since it offers personalized product suggestions. The software performs this function through data analysis, virtual consultations, and interactive tools. It will enhance customer engagement and conversion rates to simplify the shopping experience. Thus, you can foster brand loyalty.

AI in skincare provides personalized analysis and product recommendations. It will also help in the formulation of custom products by analyzing data such as skin texture, hydration, genetics, and environmental factors. The AI technology empowers consumers with at-home analysis tools and predictive capabilities for future skin concerns. At the same time, it will also transform product development by creating more effective and unique cosmetic formulations.

Biased training data, lack of transparency in AI decision‐making, and inconsistencies in regulatory approvals hinder the widespread adoption of AI customized skincare recommendation software.

AI customized skincare recommendation software does not suggest products from any brand. Rather, it is particularly designed to recommend products from the specific brand or retailer that developed the software. Or, it can suggest skincare products from a limited, curated selection of brands available on their platform.

Generally, AI-powered customized skincare recommendation software is safe for use. But its data safety depends on the privacy policies of the platforms. It determines if the software stores and uses your consumers' data and images.

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