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AI Virtual Try-On to Cut Returns: Key Insights for E-Commerce

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Sree Sankar September 17, 20255 min read

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What if your biggest sale is just a future return waiting to happen? Fulfilling an order is time and cost-intensive, and if customers initiate a return? It’s a significant setback. Every return costs anywhere between 20-65% of the product’s original value, leading to a significant loss to e-commerce businesses. Also, charging for returns can reduce customer satisfaction and discourage future purchases. This makes it critical for online businesses to identify and address the root causes of returns.

A 2025 study found that 69% of online shoppers return their orders due to fit issues, while 31% return them because the delivered item doesn’t match the description. These statistics suggest the lack of a physical try-on experience as the root cause of returns. Thus, creating an opportunity for shoppers to try products before buying them is an essential solution to reduce returns and empower them to purchase with confidence. That’s where AI virtual try-on comes in as a breakthrough for e-commerce businesses, reducing return rates considerably. This blog explores how AI virtual try-on is a powerful solution to tackle e-commerce’s biggest challenge.

Tackling Product Returns with Virtual Try-On

As per reports, 24.5% of delivered e-commerce products are returned by customers in 2025, which goes as high as 30% in the case of fashion and footwear. With AI virtual try-on technology, shoppers can try out their desired product, like makeup, apparel, or furniture, virtually with precision using the latest technologies. The global virtual try-on market is expected to reach USD 46.42 billion by 2030. This technology not only minimizes returns but also provides an interactive and personalized shopping experience for visitors. Here’s how SayOne’s AI Virtual try-on uses advanced technologies to help e-commerce cut return rates and provide customers with an immersive and confident shopping experience online shopping experience.

How AI Virtual Try-On Brings the Fitting Room Online

AI virtual try-on uses advanced technologies like computer vision, augmented reality (AR), and machine learning to create realistic and real-time simulations. Computer vision allows the system to analyze and understand customers’ images, AR overlays digital images of products onto real-world images, and machine learning helps the system to learn and improve to adapt to different body types and preferences.

Here’s how AI virtual try-on works:

Image recognition The technology analyzes customers’ unique features by scanning their photo, video, or live feed.

Product overlay The system uses AR to overlay the product, like clothing, glasses, or makeup, onto the customer’s image with precise alignment.

Customization Shoppers can adjust sizes, colors, or styles to try variations instantly, especially in the case of AI clothes try-on.

Real-time feedback With machine learning, we ensure the virtual try-on adapts to different angles, lighting, and movements.

The process mimics the in-store try-on experience to give customers the confidence to click “Add to Cart.”

4 Ways AI Virtual Try-On Boosts Your Bottom Line

Here’s how AI Virtual Try-On can benefit your e-commerce store and strengthen your bottom line.

Reduce Return Rates Returns are a costly challenge for e-commerce businesses and are mostly driven by sizing issues and unmet expectations. By allowing customers to try products virtually, AI technology enables improved purchase decisions, reducing return rates by 20-30%.

Increases Customer Satisfaction The AI virtual try-on option creates an engaging and interactive experience for customers that feels personalized. When customers feel confident in their choices, they are more likely to leave positive reviews and return for more in the future.

Brand Loyalty Customers appreciate a brand that adopts innovative technology to prioritize customer experiences. A consistent positive experience from your brand generates a sense of loyalty in customers.

Increases Conversion Rates Virtual try-on drives conversions by addressing hesitation at the point of purchase. Offering an immersive experience with AR shopping generates more interest in customers. A smooth and confident buying process means fewer abandoned carts and more completed sales.

Implementing AI Virtual Try-On in Your E-Commerce Store

Are you encouraged by the positive impact the virtual try-on can have on your online store? Here’s how to transform your online business and customer experience with AI virtual try-on.

Choose the right platform There are numerous Virtual try-on platforms available today, and choosing the right one is the very first step for the desired result. The AI Virtual try-on platform you choose should be able to adapt to your brand’s needs and integrate with your existing systems.

Ensure Mobile-responsiveness Since most of the shopping is usually carried out through smartphones, ensure the tool is mobile-friendly.

Market the Feature Highlight the virtual try-on option in your marketing campaigns, product pages, and social media to let customers know and visit your online store to try them out.

Gather feedback Use customer reviews and analytics to improve their experience and address any drawbacks in usability, accuracy, and overall satisfaction.

Train Your Team Equip your customer service and marketing teams to support users and maximize the tool’s impact.

Transform Your E-Commerce Future with AI Virtual Try-On

AI virtual try-on is more than a trend; it’s an innovative tool that revolutionizes online shopping and builds customer confidence, reduces returns, and enhances satisfaction. As an IT service provider, we can help you offer a personalized and engaging shopping experience that sets you apart from the competition by integrating our AI Virtual Try-On tool to your e-commerce site. Let your store surpass the advantages of brick-and-mortar stores in every way possible. Partner with SayOne to make shopping easier for customers with the latest technology.

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Sree Sankar

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Software Engineer | Gen AI | Building the Future

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