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

El disseny Closet AI Plataforma de Comerç de Revenda de Ruoxuan Pan, Junjie Tang and Huixiang Chen és un guanyador molt estimat del prestigiós 2026 A' Design Award de Ferro en la Categoria de Competició de Disseny de Tecnologies Mòbils, Aplicacions i Programari.

FerroMòbil· 2026

Closet AI Plataforma de Comerç de Revenda

de Ruoxuan Pan, Junjie Tang and Huixiang Chen

Guanyador del A' Design Award de Ferro en la Categoria de Mòbil

5,797

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El Disseny

Sobre Closet AI Plataforma de Comerç de Revenda

Closet AI és una plataforma mòbil de revenda de roba de segona mà. Els usuaris pugen imatges de peces de roba i l'aplicació genera categories, descripcions i preus suggerits basats en dades de revenda. Durant la negociació, el sistema redacta suggeriments de resposta que els usuaris poden editar o aprovar, de manera que les decisions finals romanen en mans del venedor. Un sistema de recompenses fa el seguiment del progrés mitjançant missions, insígnies i fites. La plataforma es va desenvolupar a partir de la recerca sobre el comportament de revenda. L'objectiu és reduir el temps i l'esforç que desanimen la participació en la moda circular.

El Reconeixement

Sobre el A' Design Award de Ferro

Closet AI Plataforma de Comerç de Revenda és un guanyador del guardó A' Design Award de Ferro, un reconeixement prestigiós concedit a bons dissenys que compleixen els requisits professionals i industrials esperats de creacions ben dissenyades. Els guanyadors de Ferro demostren una gran habilitat, una alta especialització, una comprensió experta i la capacitat creativa dels seus creadors. Es preveu que Closet AI Plataforma de Comerç de Revenda sigui una creació molt apreciada, admirada i estimada que és pràctica i innovadora. Aquest disseny guanyador del guardó A' Design Award de Ferro integra les millors pràctiques del sector i té característiques tècniques competents lligades al coneixement i al talent. Closet AI Plataforma de Comerç de Revenda és respectat per la seva minuciositat i està pensat per oferir millores en la qualitat de vida que ajuden a fer del món un lloc millor.

Darrere del Disseny

Dossier de Premsa

Crèdits, membres de l'equip i detalls tècnics proporcionats pel dissenyador.

Propietats Úniques: 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 i 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.
Etiquetes: 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 Producció: 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.
Repte de Disseny: 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.
Recerca: 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.
Inspiració: 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 Projecte: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Flux d'Operació: 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'Equip: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Crèdits de les 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