Closet AI Plataforma de comercio de reventa de Ruoxuan Pan, Junjie Tang and Huixiang Chen

El diseño Closet AI Plataforma de comercio de reventa de Ruoxuan Pan, Junjie Tang and Huixiang Chen es un ganador altamente estimado del prestigioso 2026 A' Design Award de Hierro en la categoría de competición Diseño Móvil.

HierroMóvil· 2026

Closet AI Plataforma de comercio de reventa

de Ruoxuan Pan, Junjie Tang and Huixiang Chen

Ganador del A' Design Award de Hierro en la Categoría Móvil

5,797

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El Diseño

Acerca de Closet AI Plataforma de comercio de reventa

Closet AI es una plataforma móvil de reventa de ropa de segunda mano. Los usuarios suben imágenes de sus prendas y la aplicación genera categorías, descripciones y precios sugeridos a partir de datos de reventa. Durante la negociación, el sistema redacta sugerencias de respuesta que los usuarios pueden editar o aprobar, de modo que las decisiones finales siguen en manos del vendedor. Un sistema de recompensas registra el progreso mediante misiones, insignias e hitos. La plataforma se desarrolló a partir de una investigación sobre el comportamiento en la reventa. El objetivo es reducir el tiempo y el esfuerzo que desalientan la participación en la moda circular.

El Reconocimiento

Acerca del A' Design Award de Hierro

Closet AI Plataforma de comercio de reventa ha ganado el A' Design Award de Hierro, un reconocimiento prestigioso concedido a buenos diseños que cumplen los requisitos profesionales e industriales que se esperan de creaciones bien diseñadas. Los ganadores de Hierro demuestran gran habilidad, alta especialización, comprensión experta y capacidad creativa de sus creadores. Se espera que Closet AI Plataforma de comercio de reventa sea una creación muy apreciada, admirada y querida, práctica e innovadora. Este diseño ganador del A' Design Award de Hierro integra las mejores prácticas del sector y tiene características técnicas competentes unidas a conocimiento práctico y talento. Closet AI Plataforma de comercio de reventa es respetado por su minuciosidad y está concebido para aportar mejoras en la calidad de vida que ayudan a hacer del mundo un lugar mejor.

Detrás del Diseño

Kit de Prensa

Créditos, miembros del equipo y detalles técnicos proporcionados por el diseñador.

Propiedades 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.
Dimensiones y Embalaje: 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
Tecnología de Producción: 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.
Desafío de Diseño: 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.
Investigación: 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.
Inspiración: 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.
Duración del Proyecto: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Flujo de Operación: 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.
Miembros del Equipo: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Créditos de Imagen: 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