LuxRoom—Virtual Fit & Avatar Sizing
A biometric sizing system that helps online shoppers choose the correct clothing size using LiDAR-based body scanning.
Role: Product Designer & Research Lead.
Scope: User research · UX design · product strategy.
Timeline: 3 months.
The Problem
Sizing uncertainty is one of the biggest barriers in online fashion shopping.
Users often abandon carts or purchase multiple sizes because they cannot confidently predict how a garment will fit.
For retailers, this results in:
High return rates.
Lost revenue.
Operational inefficiencies.
Environmental waste.
The Goal
LuxRoom aimed to increase shopper confidence and reduce clothing returns by creating a system that allows users to visualize garments on a personalized digital avatar based on their real body measurements.
Design goals:
Reduce sizing uncertainty.
Provide quick, accurate body measurements.
Increase trust in virtual fitting.
Support retailers through reduced returns.
Research
To understand sizing anxiety and trust barriers in digital fitting tools, I conducted a research phase combining interviews and market analysis.
Methods included:
7 semi-structured user interviews.
Focus groups.
Card sorting exercises.
Competitive analysis of digital fitting tools.
Market research on online shopping behaviour.
Key Insights
A) Sizing anxiety drives cart abandonment
Users frequently buy multiple sizes or abandon purchases entirely when unsure about fit.
B) Privacy is critical
Users expressed concerns about scanning technology and data storage.
C) Speed matters
Processes longer than 5 minutes were perceived as inconvenient.
D) Visualisation builds trust
Users want to see clothing on a body that resembles their own rather than generic models.
Persona
Diana: Online Fashion Shopper
Age: 27
Shops online 3–8 times per month.
Behaviours:
Compares multiple size charts.
Reads reviews for fit information.
Purchases multiple sizes to test.
Needs:
Reliable sizing guidance.
Quick scanning process.
Clear privacy protections.
User Journey
Product Concept
LuxRoom uses non-invasive LiDAR scanning to generate a 3D avatar based on a user’s body measurements.
This avatar allows shoppers to visualise how clothing fits before making a purchase.
Select which body type closely resembles your body.
Position the phone on a platform in a well-lit room, stand at a distance, and follow the audible commands. The app does not require users to remove their clothes; instead, they are asked to wear a shirt and trousers. The audible guidance can be translated to support non-English speaking users.
Following the scan, users can enter other information, such as their body weight, for a more accurate avatar render.
The app integrates with the API’s of partner brands to enhance the user’s online shopping experience.
Mockups
Reflection
LuxRoom demonstrated how combining biometric technology with thoughtful UX design can address a major pain point in online retail. The project reinforced the importance of trust, privacy, transparency, and simplicity when designing products that interact with personal body data.
For users:
Increased confidence in sizing.
Fewer return hassles
For retailers:
Reduced return rates.
Improved customer satisfaction.
Sustainability advancements.