Press Release
Closet AI Resale Commerce Platform by Ruoxuan Pan, Junjie Tang and Huixiang Chen Wins the A' Design Award in Mobile Technologies, Applications and Software Design
Ruoxuan Pan, Junjie Tang and Huixiang Chen acknowledged for mobile technologies, applications and software design by the international grand jury of the 2025 - 2026 A' Design Award & Competition
FOR IMMEDIATE RELEASE
COMO, Italy, April 25, 2026 /DesignNewswire/ A' Design Award & Competition has announced that Closet AI Resale Commerce Platform by Ruoxuan Pan, Junjie Tang and Huixiang Chen has been granted the A' Design Award in the Mobile Technologies, Applications and Software Design category. The recognition forms part of the 2025 - 2026 A' Design Award & Competition and was decided through blind peer review by an international grand jury panel of established academics, design professionals and press members, who scored anonymized entries against predetermined criteria.
About the A' Design Award
The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.
More About Closet AI Resale Commerce Platform
Closet AI is a mobile resale platform for second hand clothing. Users upload clothing images, and the application generates categories, descriptions and suggested prices based on resale data. During negotiation, the system drafts reply suggestions that users can edit or approve, so final decisions stay with the seller. A reward system tracks progress through quests, badges and milestones. The platform was developed through research on resale behavior. The aim is to reduce the time and effort that discourage participation in circular fashion.
Award Record
Ruoxuan Pan, Junjie Tang and Huixiang Chen is a winner of 1 A' Design Award, including this recognition.
About the A' Mobile Technologies, Applications and Software Design Award
The A' Mobile Design Award is an international design competition recognizing good design in mobile industry by leading designers and brands worldwide. It is organized within the A' Design Award & Competition and is open to mobile designers, application developers, software engineers and user interface designers from all countries. Typical entries include smartphones, tablets, wearables, mobile applications, mobile games and mobile software. The awarded mobile designs are published at https://dezigners.org/design-category/mobile
About A' Design Award & Competition
Organized annually since 2008, A' Design Award & Competition is an international, juried design accolade. The competition is open to entries from all countries. The philanthropic mission of the A' Design Award is to advance society through good design, by recognizing and promoting superior products, projects and services that benefit society, and by creating a global awareness and appreciation for good design practices and principles. Nominations are peer reviewed and evaluated anonymously by an international grand jury panel of established academics, design professionals and press members against predetermined criteria such as functionality, ergonomics, engineering, presentation, innovation, usability, sustainability and technology, with score normalization applied to remove biases. Awards are conferred at Platinum, Gold, Silver, Bronze and Iron levels. Eligible laureates receive the A' Design Prize, which includes the award trophy, the certificate of design excellence, the hardcover yearbook, a lifetime license to use the A' Design Award winner logo, exhibition of awarded works, an invitation to the gala night and award ceremony in Italy, inclusion in the World Design Rankings and Designer Rankings, and public relations and publicity services. Registration, uploading a work and receiving a preliminary score are free of charge, and Professional and Digital Edition laureates are not contractually obliged to pay further fees to claim the A' Design Prize. More information is available at https://competition.adesignaward.com
Press Resources
- Winner Page: https://dezigners.org/182338
- A' Design Award Page: https://competition.adesignaward.com/182338
- Media Showcase: https://www.designnewsroom.com/!182338
- Laureate Profile: https://dezigners.org/d/380755
Media Contact
Giulia Ferrari, Press Office
Designers.Org
Via Leone Leoni 32, 22100 Como, Italy
press@designers.org
+39 031 4491953
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Fact Sheet
The Work
- Project
- Closet AI Resale Commerce Platform
- Function
- Resale Commerce Platform
- Category
- Mobile Technologies, Applications and Software Design
- Discipline
- Communication Design
- Industry
- Software and Electronics & Appliances
- Colors
- Midnight Blue, Black, Pale Goldenrod, Dark Slate Gray and Dark Slate Blue
- Images
- 5
The Recognition
- Laureate
- Ruoxuan Pan, Junjie Tang and Huixiang Chen
- Recognition
- A' Design Award
- Edition
- 2025 - 2026
- Design ID
- #182338
Credits
- Team
- Ruoxuan Pan, Junjie Tang and Huixiang Chen
- Image Credits
- Main Image: Creator Junjie Tang, Huixiang Chen, Closet AI Home page and Swipe flow, 2026; Creator Huixiang Chen, Item Scan, Item Swipe and Select, Item Editing, and Item Posting page, 2026; Creator Ruoxuan Pan, AI listing and message assistant flow, 2026; Creator Junjie Tang, reward and badge pages, 2026; Creator Ruoxuan Pan, Huixiang Chen, Junjie Tang, Closet AI interface overview, 2026
Design Details
- Unique Properties
- Closet AI is an AI powered resale platform designed to remove friction from circular fashion. It automates listing creation, pricing suggestions and negotiation support, transforming second hand selling into a streamlined experience. By integrating intelligent automation with a reward system that tracks impact and milestones, Closet AI reduces emotional barriers and encourages sustainable participation, making fashion circulation measurable and efficient.
- Inspiration
- Closet AI was inspired by the gap between sustainable intention and practical behavior. While many Gen Z and Millennial users want to reduce waste, resale platforms often demand time and effort. Listing creation, price negotiation and cross platform management introduce friction that discourages participation. The project explores how artificial intelligence can reduce this friction and connect resale with meaningful environmental impact.
- Research
- Type of Research: Qualitative behavioral research and workflow analysis. Research Objectives: To identify barriers preventing users from participating in clothing resale despite sustainability awareness. Methodology: User interviews journey mapping and competitive benchmarking. Data Collection: Structured interviews usability testing and prototyping. Participants: Gen Z and Millennial users. Results: Identified negotiation fatigue and listing complexity as key friction points. Insights and Impact: Automation reduces participation barriers and supports circular fashion adoption.
- Challenge
- The major challenge was balancing automation with user autonomy. Fully automated systems risk removing agency, while manual systems maintain friction. Closet AI introduces assisted intelligence, where AI drafts and recommends actions but users retain final control. Another challenge was integrating sustainability incentives without overwhelming users. The solution implements subtle impact indicators and milestone badges that reinforce behavior without creating gamified complexity.
- Realization and Technology
- Closet AI was developed through a human centered design process informed by user research and resale behavior analysis. Insights into pricing uncertainty and negotiation stress shaped the interaction framework. Computer vision, natural language generation and data driven recommendations were integrated as supportive technologies. Iterative prototyping refined the system into an assisted workflow that reduces cognitive load while preserving user agency.
- Operation and Interaction
- Users upload clothing images to generate automatic categories, descriptions, and smart pricing suggestions based on resale data. They publish listings, track engagement insights, and receive recommendations such as price adjustments or repost timing. Users complete quests, earn badges, and unlock milestones as they list, optimize, and close deals. During negotiations, AI drafts reply suggestions that users can edit or approve, keeping full control.
- Project Duration and Location
- The project began in Dec 2025 in Austin and is currently in advanced prototype development.
- Specifications
- Closet AI is a mobile first digital platform prototyped in Figma at 402 x 874 pixels aligned with iPhone interface standards. The system follows a modular and scalable architecture supporting real time feedback and adaptive interaction flows. A structured design system ensures visual consistency accessibility compliance and responsive layout behavior across future multi platform extensions.
- Keywords
- AI powered resale platform, UX/UI design, circular fashion system, sustainable commerce design, intelligent negotiation support, automated listing generation, user centered interaction design, behavioral incentive system, mobile marketplace experience, fashion sustainability innovation
