How does a Shopify-based skincare brand reduce product returns by using GlamAR’s AI-based skin analysis tool?
Skin analysis tool is an advanced tool that helps skincare brands and businesses in various ways, such as increasing user engagement, enhancing customer experience, reducing product returns, and building stronger relationships, which is growing its demand in the e-commerce industry for beauty and skincare products. According to a report by Precedence Research, the global AI skin analysis market size accounted for USD 1.54 billion in 2024 and is predicted to increase from USD 1.79 billion in 2025 to approximately USD 7.11 billion by 2034, expanding at a CAGR of 16.53% from 2025 to 2034.
It shows the rising interest and growth of the skin analysis market due to several reasons, such as customized skincare, developments in AI, high awareness of skin health, and the integration of intelligent diagnostics in skincare. Due to the core technologies behind the working of this tool, such as artificial intelligence, facial mapping, and computer vision, the demand for the skin analysis tool is increasing in the skincare industry because it also helps them to provide their customers with personalized shopping experiences.
Among its multiple benefits, one question that keeps business owners worried is how an AI-based skin analysis tool helps skincare brands in reducing their product returns by fostering trust and loyalty. In this blog, I will help you understand the facts behind this and how the tool helps skincare brands and businesses to reduce their product return rates while building stronger relationships with their customers.
What is a skin analysis, and what are its key features?
The AI-based skin analysis tool is an online tool that allows users to understand their skin health by scanning their facial skin for essential skin health metrics with the help of advanced artificial intelligence algorithms and imaging tools. It provides users with a customized skin analysis report that is generated after the skin analysis test to provide them with comprehensive results along with their skin score for more than 14 skin health metrics, such as hydration, pores, sun damage, acne, fine lines, wrinkles, and more.
It also helps users to create their customized skincare routine for morning and evening by offering them personalized product recommendations based on their skin issues and concerns, which they get with the skin analysis report. Apart from that, it also helps skincare brands to build stronger relationships with their customers by offering them tailored shopping experiences to foster trust and decrease purchase uncertainty, which will also help them to reduce product returns.
Key features
- Comprehensive evaluation: It provides users with a comprehensive evaluation of their skin by analyzing more than 15 skin concerns, including moisture levels, oil production, texture, and sun damage, which will help them understand their skin closely and select the most suitable products.
- Advanced imaging: It helps users to understand their skin issues and diagnose their skin for skin cancer at early stages by using specialized cameras and multi-spectral lighting to reveal hidden concerns like porphyrin bacteria, UV spots due to sun damage, and deeper pigmentation.
- Objective data: It provides users with a comprehensive skin analysis report of their skin health, including quantifiable scores and measurements for wrinkles, pore size, radiance, firmness, and pigmentation, which they can use to compare their skin health to standard beauty norms.
- Personalized insights: It provides customers with personalized and data-driven insights about their skin issues, depending on different areas of their face, such as dehydration in one area and oiliness in another, which will help them understand the targeted treatment plans and perform product selection accordingly.
- Tracking progress: Some skin analysis tools also help users to understand their treatment progress by enabling them to upload images of their skin, enabling them to compare before-and-after results, and measuring the effectiveness of treatments and products used on their skin over time.
How does a skin analysis tool help skincare brands to reduce returns?
Using a skin analysis tool helps skincare brands and businesses to reduce their product returns by providing their customers with hyper-personalized product recommendations based on individual skin data and an analysis report. It provides them with an individual skin score by detecting various metrics, such as texture, hydration, wrinkles, and oiliness, which minimizes their guesswork and builds their confidence during online purchases.
Apart from that, it also helps users to make more confident purchases by helping them ensure that they are buying the right products according to their specific needs from the start, leading to greater satisfaction and fewer impulse returns for unsuitable items. In this section, I will provide you with detailed information on how a skin analysis tool helps skincare brands to reduce their product returns while reducing their guesswork during online purchases.
1. Personalised diagnosis
It helps businesses to provide their customers with personalized experiences by generating a skin analysis report to help them understand their skin concerns and issues by analyzing their skin for more than 14 metrics, such as texture, pores, spots, hydration, and oiliness.
With the help of this customized skin analysis report, skincare brands can reduce their return rates by helping their customers make more informed decisions during virtual shopping, as it helps them to select the most suitable products according to their skin needs and requirements.
2. Targeted product matching
It provides personalized product recommendations to users based on their skin type, texture, and condition, which will help them understand their skin needs and select products accordingly that address their identified needs and concerns. Hence, it can help the brand to increase conversion rate and reduce product returns by fostering their trust towards products because they align with their unique profile.
3. Reduces trial-and-error
It helps businesses to reduce the trial-and-error uncertainty among their customers by enabling them to select the most suitable products for their skincare routine by generating a customized skin analysis report with product recommendations.
It helps customers to save their time and the brand’s resources by enabling them to make confident purchase decisions, which can also help skincare brands to reduce their product return rates.
4. Sets realistic expectations
It helps skincare brands and businesses to set realistic expectations among their customers by offering them potential issues and their solutions, which will reduce misunderstanding about the product requirements according to their skin needs. It will also help the brand to reduce its product returns by enabling them to select the most suitable results according to their skin score mentioned in their skin analysis report.
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Step-by-step guide on how to integrate the skin analysis tool on a Shopify store
While integrating a skin analysis tool on Shopify, brands can follow certain steps that start from finding and selecting the appropriate SDK provider and then customizing it appropriately into the e-commerce platform. During the integration of the skin analysis tool, skincare brands have to look at various considerations, which they can customize according to their image and identity.
In this section, I will provide you with detailed information on how to integrate the skin analysis tool on the Shopify store, which you can follow while adding and customizing the skin analysis tool to the e-commerce platform.
- Find the right app or provider: Firstly, you have to perform detailed research to find the most suitable SDK provider or app for your e-commerce brand on the Shopify App Store, which you can use on your e-commerce website or app across various places.
- Install the app: Now, install the selected SDK or app that fits the needs and goals of your business by offering you various features, such as virtual try-on, routine building, and ingredient analysis, which you can understand by studying its offerings and then installing it straightforwardly.
- Connect your catalog: Now, integrate the skin analysis app or SDK into your Shopify store and sync it with your existing products available on the website or app, which will help you to provide your customers with the most suitable products according to their skin concerns and types while reducing manual work.
- Customize the experience: After that, configure and customize the tool according to your brand’s image and identity by setting it up for personalized routine suggestions and deciding how the product recommendations are presented.
- Publish: After reviewing the changes and making sure the tool is working properly, publish the tool on the website by making it live in your store, which will let your customers upload selfies for instant analysis and personalized product suggestions.
Core technologies behind the working of a skin analysis tool
- Artificial intelligence and machine learning: It uses advanced algorithms of artificial intelligence and machine learning techniques, which will help users get a detailed skin analysis report by enabling them to analyze and detect their skin issues and concerns.
- Computer vision and image processing: It provides users with a real-time experience by detecting their face movements and mapping their facial features, which will allow them to create a 3D model of their face by using facial landmarking or segmentation.
- Multispectral imaging and light technology: It helps users to explore different products in various lighting conditions by capturing their standard surface conditions, texture, and pigmentation, which will help them to look at subsurface damage as well.
- Augmented reality overlay: It uses augmented reality technology to help users understand the application of different products on their face by using AR overlays, which will allow them to simulate before-and-after results for better understanding and assessment.
- Data analytics and cloud computing: It helps skincare brands to provide their customers with data-driven insights about their skin health by providing them with a skin score in the report, which depends on their skin issues, along with personalized recommendations.
Introducing GlamAR skin analysis tool: A beneficial option for Shopify users
GlamAR is an AR- and AI-based solution provider that helps beauty, makeup, and skincare brands to provide their customers with an engaging experience by allowing them to integrate the virtual try-on and skin analysis tool on their website or app using an SDK or API. With the help of its virtual makeup try-on tool, businesses can enhance the shopping experience for their customers while offering them engaging and interactive features, such as rotate, zoom, and spin, which will allow them to explore and try multiple products from different angles and perspectives.
With the help of its skin analysis tool, skincare brands and businesses can provide their customers with a personalized experience by enabling them to perform a skin analysis test using advanced AI algorithms and providing them with a tailored report containing their skin score according to their issues and conditions. It offers them a comprehensive and detailed report, which also contains personalized product recommendations truly based on their skin type, texture, and condition, which they can consider while selecting the most suitable products to heal their skin.
It also helps businesses to reduce their product return rates by 62%, which is four times the average decrease in returns, by offering their customers personalized recommendations and helping them make more confident and informed purchase decisions. In addition to this, the skin analysis tool also helps skincare brands to improve their conversion rates, boost sales, enhance customer loyalty, and improve marketing strategies by offering them data-driven insights on customer behavior and usage.
Key features
- Personalized skin report: It generates a downloadable report of the skin by analyzing more than 15 skin health and beauty metrics, which will help users understand their skin conditions and provide them with customized product recommendations as per their choices and preferences.
- Better-suited alternatives: It suggests the best-suited skincare products according to the user’s skin concerns after analyzing ingredients and mapping them accordingly, helping the brand to boost the satisfaction rate and sales.
- Cross-platform integration: It allows the brand to perform seamless integration of the skin analysis tool into multiple devices and platforms, such as Web, Android, and iOS, which will provide their customers with a similar experience irrespective of the platform or operating system.
- Advanced algorithms: It provides users with an engaging experience by using an advanced mechanism with 94 algorithms to suggest skincare products, helping users to choose the best-suited products that will boost their trust and confidence towards the brand.
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Different applications of the skin analysis tool for skincare brands
Skincare brands use AI skin analysis tools to provide their customers with personalized customer experiences by offering them tailored product recommendations, which allow them to understand their skin and help them heal it properly by using the most suitable products. Apart from that, it also helps them to improve their engagement and conversion rates by building strong relationships with their customers and improving their marketing strategies according to their behavior and buying patterns.
In this section, I will help you understand different applications of the skin analysis tool for skincare brands and businesses, which will help them to reduce returns, enhance experiences, and boost sales while fostering customer loyalty.
1. Personalized reports and recommendations
It helps businesses to provide their customers with personalized experiences by detecting and analyzing their skin issues and concerns with the help of advanced AI algorithms, which they will get with a personalized skin analysis report.
Apart from that, it also helps skincare brands to reduce their product returns by increasing customer satisfaction during online purchases, as it helps them to understand more about their skin issues and the most suitable products with appropriate ingredients according to their needs.
2. Enhanced customer engagement
It helps businesses to improve user engagement and experience by using interactive features, such as virtual try-ons and AI-based chatbots, which will help users to stay connected with the brand by getting 24/7 service and allow them to explore different products using 3D models and 360-degree viewers. It also helps skincare brands to decrease product returns and increase the add-to-cart rate by helping customers make confident purchases during online shopping.
3. Data collection and product development
It helps businesses to foster customer trust and loyalty by offering them data-driven analysis of their skin issues and concerns, along with their scores, which will help them understand the condition of their skin.
Apart from that, it also provides businesses with detailed insights into user behavior that will help them enhance their marketing strategies and improve their product development strategies by enabling them to perform R&D for new formulations with the help of science-backed data.
4. Progress tracking and loyalty
It helps customers to track their progress by enabling them to upload their images before and after using the products, which will help them to monitor their changes on their skin over time.
It will help skincare businesses to improve and foster customer loyalty towards their products by providing them with tangible results that they will get after using their products, recommended to them by their skin analysis tool, according to their skin issues.
5. Omnichannel integration
It provides businesses with seamless integration of the tool across various platforms and devices, which will help them capture audiences from different platforms and reach a wider audience, irrespective of their device software or model.
It will also help them to win their trust by offering them similar results across a range of platforms, including web browsers, apps, smart mirrors, and kiosks, bridging the gap between online and offline shopping experiences.
6. Diagnostic accuracy
It helps users to understand their skin issues and concerns, such as wrinkles, acne, pores, dark circles, and fine lines, which will help them select the products accordingly by studying their skin analysis report. Some skin analysis tools are tested or reviewed under the guidance of dermatologists, which will help them to generate more accurate skin analysis assessments for users.
Case study: How Foxtale used the skin analysis tool to reduce returns
Foxtale is a skincare and beauty product brand that uses GlamAR’s skin analysis tool to provide its customers with a personalized experience by enabling them to perform a comprehensive skin assessment and detect their skin issues in under 5 seconds. It helps the brand to provide its customers with an engaging experience by reducing their skin literacy gap because it offers them a comprehensive analysis report along with a skin score and an evaluation of their skin needs.
It also helps the brand to reduce its product returns by helping its customers make more informed and confident decisions by reducing their trial-and-error method, which will help them to calmly select the most appropriate products according to their skin requirements. Apart from that, it also helps customers to build a customized skincare routine by enabling them to understand the appropriate usage of the product before making any purchase decision.
With the help of GlamAR’s skin analysis tool, Foxtale has provided its customers with a clinically graded precision that helps them to select the best products without any uncertainty and confusion. It also helps them to improve their marketing strategies by providing them with data-driven analytics about user behavior and preferences during online shopping.
Future trends of using skin analysis on a Shopify store
The future of using skin analysis on Shopify stores is rapidly advancing, moving far beyond static quizzes and basic product suggestions by providing their customers with real-time skin analysis, long-term tracking, and highly personalized experiences, which will help them transform how beauty brands engage and retain customers. It also provides users with a personalized shopping experience by helping them understand their skin issues by increasingly incorporating contextual factors such as UV exposure, weather, pollution, and even lifestyle patterns.
It also helps them to build a customized skincare routine for morning and night by understanding their adaptation over time based on seasons, hormonal changes, or skin progress, which can be done by continuously tracking their skin with visual before-and-after comparisons, which will further strengthen customer trust and loyalty. It will also help the skincare industry to analyze over 250 skin parameters from a single image with improved accuracy, allowing them to match customers with specific active ingredients and to offer them AI-driven custom formulations mixed to precise concentrations for individual skin needs.
Apart from that, it also provides brands with seamless integration of the skin analysis tool with emerging technologies, which will play a major role by merging it with AR try-ons to simulate future skin outcomes, connecting with smart mirrors and wearables for real-time monitoring, and integrating seamlessly into social commerce for instant scan-to-cart journeys. Henceforth, it will help brands place a stronger emphasis on inclusivity and privacy, ensuring accurate analysis across all skin tones and secure, anonymized image processing.
Conclusion
Using a skin analysis tool helps skincare brands and businesses in multiple ways, including higher engagement, enhanced experience, reduced returns, and stronger customer relationships, which will help them to foster trust and loyalty. One of the most prominent benefits that businesses get after the implementation of the skin analysis tool is a decrease in the product return rates because it helps their customers to make more informed and confident purchase decisions.
By using GlamAR’s skin analysis tool, skincare businesses can provide their customers with a comprehensive skin analysis report along with product recommendations, which they can use to heal their skin and build a customized skincare routine. It also provides skincare brands with some engaging and exciting features, such as seamless integration and cross-platform compatibility, which will help them provide their customers with a similar experience across various platforms and devices while reaching a wider audience.
Yes, the skin analysis tool works on various devices and platforms, including iOS and Android smartphones, tablets, and web browsers, which allow users to perform skin analysis without requiring app downloads. It uses advanced AI algorithms to adapt different camera qualities and screen sizes to deliver reliable and optimized results across different devices, which may cause a slight performance variation because it depends on camera quality and lighting conditions.
The skin analysis tool helps businesses to store the customer data securely on a GDPR-compliant cloud infrastructure, which uses all skin images processed with encryption, and sensitive identifiers can be anonymized or removed. It provides users with an immersive experience because it follows strict consent-based data collection with minimal data retention policies, which include full compliance with GDPR and global privacy standards.
Yes, a proof of concept or trial is available, which you can opt for by contacting the sales or customer support team, which allows you to test the skin analysis experience on your Shopify store and evaluate its accuracy, performance, and impact on conversions before complete deployment.
The tool analyzes multiple skin parameters using advanced AI algorithms from a facial scan and matches their skin concerns with product attributes, ingredients, and benefits from the store catalog. It will provide users with personalized recommendations that are rule-based and machine-learning-driven, prioritizing ingredient efficacy, skin compatibility, and routine logic rather than generic bestsellers.
No, there are no strict minimum criteria that brands need to follow while using the skin analysis tool, as they can use a minimum of 10–20 SKUs while targeting products for different skin concerns. It can also be used for larger catalogs to benefit even more because AI can create personalized routines, cross-sell effectively, and improve product discovery across your range.
Absolutely, brands can customize the look and feel of the skin analysis tool by using various customization options, including colors, fonts, UI components, language, and tone of recommendations. It will help the skincare business to maintain its image and identity through the website or app while providing its customers with a similar experience across various devices and platforms.
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