Closet AI Suggestum Commercii Revenditionis ab Ruoxuan Pan, Junjie Tang and Huixiang Chen

Opus Closet AI Suggestum Commercii Revenditionis a designatore Ruoxuan Pan, Junjie Tang and Huixiang Chen est victor maxime honoratus praemii praestigiosissimi 2026 Praemium A' Design Award Ferreum in Categoria Certaminis Mobilis.

FerrumMobilis· 2026

Closet AI Suggestum Commercii Revenditionis

a Ruoxuan Pan, Junjie Tang and Huixiang Chen

Victor praemii Praemium A' Design Award Ferreum in Categoria Mobilis

5,797

Victor Praemii Verificatus

Verifica Statum Praemii pro #182338

Vide apud A' Design Award Communicatum Insigne Praemii

Colores

Designum

De Closet AI Suggestum Commercii Revenditionis

Closet AI suggestum mobile revenditionis est ad vestimenta usitata destinatum. Usores imagines vestium imponunt, et applicatio genera, descriptiones ac pretia proposita ex datis revenditionis generat. In negotiatione, systema responsa suggesta conscribit, quae usores emendare vel approbare possunt, ita ut decisiones ultimae apud venditorem maneant. Systema praemiorum progressum per quaestiones, insignia et metas notabiles persequitur. Suggestum per investigationem morum revenditionis elaboratum est. Propositum est tempus laboremque minuere, quae participationem in moda circulari deterrent.

Agnitio

De Praemium A' Design Award Ferreum

Closet AI Suggestum Commercii Revenditionis victor est Praemii A' Design Award Ferreum, honoris amplissimi formis bonis dati, quae postulatis professionalibus et industrialibus ab creationibus bene formatis exspectatis satisfaciunt. Victores Ferrei magnam peritiam, altam specializationem, intellectum periti et facultatem creandi auctorum suorum ostendunt. Exspectatur Closet AI Suggestum Commercii Revenditionis creationem multum aestimatam, admiratam et carissimam, practicam et novam fore. Haec forma Ferreo victa optimas industriae consuetudines integrat et proprietates technicas idoneas, cum scientia et talento coniunctas, habet. Closet AI Suggestum Commercii Revenditionis ob diligentiam suam honoratur et ad vitae qualitatem emendandam formatum est, ut mundum meliorem reddere iuvet.

Post Designum

Fasciculus Nuntii

Merita, sodales gregis et singula technica a designatore praebita.

Proprietates Singulares: 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 et Involucrum: 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.
Notulae: 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
Technologia Productionis: 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.
Provocatio Designandi: 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.
Investigatio: 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.
Inspiratio: 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.
Duratio Operis: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Cursus Operationis: 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.
Membra Turmae: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Agnitiones Imaginum: 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