Closet AI Plataforma de Comèrci de Revenda per Ruoxuan Pan, Junjie Tang and Huixiang Chen

Lo dissènh Closet AI Plataforma de Comèrci de Revenda per Ruoxuan Pan, Junjie Tang and Huixiang Chen es un laureat autfo estimfo del prestigfo 2026 A' Design Award de Fèrre dins la Categoria de Competfo Mobil.

FèrreMobil· 2026

Closet AI Plataforma de Comèrci de Revenda

per Ruoxuan Pan, Junjie Tang and Huixiang Chen

Laureat del A' Design Award de Fèrre dins la Categoria Mobil

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Lo Concèpte

A prepaus de Closet AI Plataforma de Comèrci de Revenda

Closet AI es una plataforma mobila de revenda per de vestits de segonda man. Los utilizaires cargan d'imatges de vestits, e l'aplicacion genèra de categorias, de descripcions e de prèses suggerits a partir de las donadas de revenda. Pendent la negociacion, lo sistèma redigís de suggestions de responsa que los utilizaires pòdon modificar o aprovar, per que las decisions finalas demòren dins las mans del vendeire. Un sistèma de recompensas seguís la progression a travèrs de quèstas, d'insignias e d'etapas. La plataforma foguèt desvolopada gràcias a de recèrcas sul compòrtament de revenda. L'objectiu es de redusir lo temps e l'esfòrç que descorajan la participacion a la mòda circulara.

La Reconoissença

A prepaus del A' Design Award de Fèrre

Closet AI Plataforma de Comèrci de Revenda a ganhat la distincion A' Design Award de Fèrre, una reconeissença prestigiosa acordada a de bons designs que respondon a las exigéncias professionalas e industrialas esperadas de creacions plan concebudas. Los ganhaires del Fèrre demòstran una granda abilitat, una nauta especializacion, una comprenedura d'expèrt e la capacitat creativa de lors creators. S'espèra que Closet AI Plataforma de Comèrci de Revenda siá una creacion fòrça considerada, admirada e estimada, practica e innovanta. Aqueste design ganhaire de la distincion A' Design Award de Fèrre integra las melhoras practicas del sector e a de caracteristicas tecnicas competentas ligadas a un saber-far e a un talent. Per son rigor, Closet AI Plataforma de Comèrci de Revenda merita lo respècte e es destinat a aportar de melhoraments a la qualitat de la vida que ajudan a far del mond un luòc melhor.

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Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: 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.
Dimensions e Embalatge: 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 Produccion: 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.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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.
Durada del Projècte: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Flux Operacional: 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.
Membres de l'Equipa: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Crèdits d'Imatges: 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