In today’s global landscape, the retail industry is grappling with declining revenues. According to Statista, global traditional retail sales fell by 1.3% in 2023 compared to the previous year. But here’s the twist: while many were scrambling to keep up, John Lewis, a top UK retailer, managed to boost sales on its fashion rental platform by over 30% (Ecommerce News UK, 2023).
So, what’s going on behind the scenes?
Thanks to its partnership with Zyler, John Lewis rolled out virtual try-on (VTO) technology and has managed to turn the tide. This case strongly reinforces the urgent need for retailers to adopt digital innovations—especially virtual try-on—to stay ahead of the curve, drive up revenue, and cut down return rates.
In a recent research by Cleverence in 2025, 77% of global consumers prefer online shopping for its convenience.
However, the e-commerce sector is losing billions due to high return rates, particularly in fashion, where the average return rate can reach up to 40%.
Format | Key Issues |
Online | Unable to check actual size; hard to visualize fit and style |
In-Store | Time-consuming, lacks personalization, limited space and stock |
The EU Commission found that 80% of fashion returns come down to sizing issues. And nearly half of shoppers say they feel rushed or uncomfortable trying things in-store (McKinsey, 2023).
In the collaboration with Zyler, over 30% of sales from John Lewis’s fashion rental platform were directly linked to the VTO feature (Ecommerce News UK, 2023).
Each Zyler user views an average of 52 outfits, showcasing strong engagement and interest.
Nike implemented AR Fit to scan users’ feet and recommend personalized sizes (Cleverence, 2025).
The result?
A significant drop in return rates
Increased customer satisfaction
Over 20% reduction in returns due to size issues
Noticeable boost in customer loyalty (LaunchConsulting, 2024)
Adidas adopted AR fitting with 3D foot simulations, cutting returns and increasing app session time by 28%.
Puma launched 3D body scan virtual try-on, encouraging customers to experiment with more styles and increasing average order value (Cleverence, 2025).
Metric | Before VTO | After VTO Implementation |
Average Return Rate | 38% | 15–20% |
Rental Fashion Revenue | – | +30% (John Lewis) |
Avg. Outfits Viewed per User | ~15 | 52 (Zyler) |
App Session Time (Adidas) | – | +28% |
John Lewis is just the beginning of a broader digital transformation powered by personalized shopping experiences. As virtual reality and AI converge in retail, we're witnessing a shift from predictive to proactive consumer behavior.
Virtual try-on is more than just a tech solution—it's a strategic lever for recovery and growth in a post-pandemic era where trust, convenience, and personalization are paramount.
At DIPROTECH, we don’t just provide AI try-on tools—we engineer immersive, brand-specific digital experiences that elevate luxury e-commerce. Our platform supports:
Beauty: AI-powered wig, hair color, and makeup try-on
Jewelry: Ultra-realistic ring, necklace, and earring try-on with responsive hand and face tracking
Fashion: Smart garment visualization that adjusts to body and movement
We work with brands to customize the UI/UX, integrate seamlessly with e-commerce platforms, and maintain luxury-grade image quality that enhances brand value.