Closet AI Plataforma de Comércio de Revenda por Ruoxuan Pan, Junjie Tang and Huixiang Chen

O design Closet AI Plataforma de Comércio de Revenda por Ruoxuan Pan, Junjie Tang and Huixiang Chen é um vencedor altamente estimado do prestigioso 2026 A' Design Award de Ferro na Categoria de Competição Design de Tecnologias Móveis, Aplicações e Software.

FerroDispositivo Móvel· 2026

Closet AI Plataforma de Comércio de Revenda

por Ruoxuan Pan, Junjie Tang and Huixiang Chen

Vencedor do A' Design Award de Ferro na Categoria Dispositivo Móvel

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Cores

O Design

Sobre Closet AI Plataforma de Comércio de Revenda

O Closet AI é uma plataforma móvel de revenda de roupas em segunda mão. Os utilizadores carregam imagens das peças e a aplicação gera categorias, descrições e preços sugeridos com base em dados de revenda. Durante a negociação, o sistema redige sugestões de resposta que os utilizadores podem editar ou aprovar, mantendo as decisões finais nas mãos do vendedor. Um sistema de recompensas acompanha o progresso através de desafios, distintivos e marcos. A plataforma foi desenvolvida a partir de investigação sobre comportamentos de revenda. O objetivo é reduzir o tempo e o esforço que desencorajam a participação na moda circular.

O Reconhecimento

Sobre o A' Design Award de Ferro

Closet AI Plataforma de Comércio de Revenda conquistou o A' Design Award de Ferro, um reconhecimento prestigiado atribuído a bons designs que cumprem os requisitos profissionais e industriais esperados de criações bem concebidas. Os vencedores do Ferro demonstram grande habilidade, elevada especialização, compreensão especializada e capacidade criativa dos seus criadores. Espera-se que Closet AI Plataforma de Comércio de Revenda seja uma criação muito considerada, admirada e estimada, prática e inovadora. Este design vencedor do A' Design Award de Ferro integra as melhores práticas do setor e tem características técnicas competentes associadas a conhecimento especializado e talento. Pela sua minúcia, Closet AI Plataforma de Comércio de Revenda merece respeito e destina-se a proporcionar melhorias na qualidade de vida que ajudam a tornar o mundo num lugar melhor.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: 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.
Etiquetas: 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
Tecnologia de Produção: 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.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Fluxo de Operação: 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.
Membros da Equipa: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Créditos de Imagem: Main Image: Creator Junjie Tang, Huixiang Chen, Closet AI Home page and Swipe flow, 2026
Image #1: Creator Huixiang Chen, Item Scan, Item Swipe and Select, Item Editing, and Item Posting page, 2026
Image #2: Creator Ruoxuan Pan, AI listing and message assistant flow, 2026
Image #3: Creator Junjie Tang, reward and badge pages, 2026
Image #4: Creator Ruoxuan Pan, Huixiang Chen, Junjie Tang, Closet AI interface overview, 2026