Pei Jinxian
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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.