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

O deseño Closet AI Plataforma de Comercio de Revenda de Ruoxuan Pan, Junjie Tang and Huixiang Chen é un estimado gañador do moi prestixioso 2026 A' Design Award de Ferro na Categoría de Competición Deseño de Tecnoloxías Móbiles, Aplicacións e Software.

FerroMóbil· 2026

Closet AI Plataforma de Comercio de Revenda

de Ruoxuan Pan, Junjie Tang and Huixiang Chen

Gañador do A' Design Award de Ferro na Categoría Móbil

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Cores

O Deseño

Sobre Closet AI Plataforma de Comercio de Revenda

Closet AI é unha plataforma móbil de revenda de roupa de segunda man. Os usuarios suben imaxes de roupa e a aplicación xera categorías, descricións e prezos suxeridos baseándose en datos de revenda. Durante a negociación, o sistema redacta suxestións de resposta que os usuarios poden editar ou aprobar, de modo que as decisións finais quedan en mans do vendedor. Un sistema de recompensas fai seguimento do progreso a través de misións, insignias e fitos. A plataforma desenvolveuse a partir da investigación sobre o comportamento de revenda. O obxectivo é reducir o tempo e o esforzo que desaniman a participación na moda circular.

O Recoñecemento

Sobre o A' Design Award de Ferro

Closet AI Plataforma de Comercio de Revenda gañou o A' Design Award de Ferro, un recoñecemento prestixioso outorgado a bos deseños que cumpren os requisitos profesionais e industriais esperados de creacións ben deseñadas. Os gañadores Ferro demostran a gran habilidade, a alta especialización, a comprensión experta e a capacidade creativa dos seus creadores. Espérase que Closet AI Plataforma de Comercio de Revenda sexa unha creación moi apreciada, admirada e querida que é práctica e innovadora. Este deseño gañador do A' Design Award de Ferro integra as mellores prácticas do sector e ten características técnicas competentes ligadas ao saber facer e ao talento. Closet AI Plataforma de Comercio de Revenda é respectado pola súa minuciosidade e está deseñado para proporcionar melloras na calidade de vida que axudan a facer do mundo un lugar mellor.

Detrás do deseño

Kit de prensa

Créditos, membros do equipo e detalles técnicos proporcionados polo deseñador.

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.
Dimensións e Embalaxe: 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
Tecnoloxía de Produción: 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.
Reto de Deseño: 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 do Proxecto: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Fluxo de Operacións: 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 do Equipo: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Créditos das Imaxes: 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