In the realm of online fashion retail, the struggle to provide a personalized shopping experience is ever-present. Breuninger, a prominent fashion and lifestyle retailer in Germany, has stepped into this challenge head-on. By collaborating with Google Cloud, they've leveraged generative media models to transform the virtual try-on (VTO) experience—making it more intuitive and tailored for shoppers. The implications of this innovation could redefine online apparel shopping, addressing a fundamental pain point for customers: “How will this look on me?”
From Concept to Deployment: A Rapid Journey
Breuninger's foray into virtual try-on technology began with their participation in Google Cloud's Trusted Tester Program for the VTO API. This collaboration facilitated a close working relationship between Breuninger’s data team in Germany and Google's engineers in California. They adopted a multi-phase approach that enabled extensive user feedback to shape the project effectively.
Initially, the focus was on catalog enrichment, where standard model images were dressed in various outfits using the VTO API. This allowed Breuninger to test a broader range of garments without incurring costly photoshoots. The second stage introduced body type selection, a crucial enhancement allowing users to select mannequin representations that matched their body shapes. However, the most significant iteration stemmed from recognizing that shoppers wanted to see themselves in the apparel. This understanding led to the groundbreaking feature termed, ‘Be your own model’, where customers can upload selfies to visualize clothing on their own bodies.
Tiered Personalization in Virtual Try-On
The project unveiled three differentiated levels of VTO implementation for fashion retailers, catering to varying degrees of personalization:
| Approach | Interaction | Use Case |
| Level 1: Catalog enrichment | Offline batch processing | Dress standard models in new collections at scale, updating product pages without manual photoshoots. |
| Level 2: Body type selection | Online on-request | Provide predefined models for users to choose from, enhancing visual relevance as seen in Google Shopping's VTO feature. |
| Level 3: 'Be your own model' | Online personalized | The most personal experience, enabling users to visualize themselves in specific items or outfits. |
This tiered approach allows retailers to gauge the level of personalization their customers require, guiding them toward more engaging shopping experiences.
Technical Adaptations for Scale
Building a scalable virtual try-on experience necessitated more than just advanced AI models. Breuninger's team recognized significant variances in the quality and lighting of user-uploaded selfies. To ensure that the final visual outputs aligned with the brand's standards, they developed preprocessing tools that enhance image quality prior to the application of VTO technology. Additionally, this project marks a pivotal moment for Breuninger as they transition to a Flutter-based platform. The speed at which the VTO feature went from concept to launch—just three months—underscores the agility introduced by this new development framework.
Proven Impact: Insights from A/B Testing
The early stage implementation yielded compelling results, particularly during a six-week A/B test over the holiday purchasing swell. The data indicated that customers engaging with the virtual try-on feature demonstrated a significantly higher conversion rate compared to those who did not utilize it. Moreover, the feedback from customer surveys suggested a positive reception towards both the high-quality visuals and the overall personalized experience. Notably, the data indicated a deeper trend where shoppers felt more confident in their styling choices after using the VTO, effectively reducing pre-purchase anxiety.
Looking Ahead: Expansion Plans
The successful pilot phase has paved the way for Breuninger to consider broader implementation, including international scaling and integrating physical fit and sizing support into the experience. As they continue to refine and iterate based on real-world usage, the prioritization of user feedback remains a hallmark of their developmental strategy. The outcome of this project could serve as a blueprint for others in the retail sector seeking to harness technology to enhance consumer confidence and satisfaction.
If you operate within the fashion retail sphere, keep a keen eye on how dynamic these virtual experiences will become. The ability to visualize clothing on oneself is no longer a futuristic dream; it’s a tangible reality reshaping how consumers shop online, driving both engagement and sales.
