AIVirtual Try-onRetail
2024 / Product Designer / AI Retail Experience
AI Virtual Try-on
Alibaba · Intime AI virtual fitting experience from 0 to 2.2, reducing purchase hesitation and improving online shopping efficiency.
0→2.2Product stage
2024Recognition
InnovationTeam award
Images
Virtual try-on flow gallery
Upload, generation, comparison, style switch, and purchase decision.
Video
AI try-on motion demo
Generation wait, result reveal, and comparison feedback.
PDF
Awarded project case deck
0-to-2.2 evolution, business outcomes, and innovation value.
01
Background
Fashion shopping often creates hesitation around size, fit, and styling expectations. AI virtual try-on needed a smooth path across generation, trustworthy feedback, and purchase decisions.
02
My role
- Designed the complete AI virtual try-on experience from 0 to 2.2.
- Designed waiting, result reveal, style switching, comparison, and purchase paths.
- Aligned experience design with retail goals and AI capability constraints.
03
Design process
- Analyzed purchase hesitation and try-on decision paths.
- Turned AI generation uncertainty into understandable states and feedback.
- Improved perceived trust and shopping loop efficiency through multiple versions.
04
Outcome
- Delivered an immersive AI try-on experience and complete shopping loop.
- Built an experience pattern for generative AI in retail.
05
Results
- Selected as China Retail Digital Innovation Case 2024.
- Received Innovation Breakthrough Team Award.
- Reduced online shopping hesitation and improved decision efficiency.