Closet AI Platforma za preprodaju od Ruoxuan Pan, Junjie Tang and Huixiang Chen

Dizajn Closet AI Platforma za preprodaju od dizajnera Ruoxuan Pan, Junjie Tang and Huixiang Chen je visoko cijenjeni dobitnik prestižne nagrade 2026 Željezna nagrada A' Design Award u kategoriji Dizajn Mobilnih Tehnologija, Aplikacija i Softvera.

ŽeljezoMobilni· 2026

Closet AI Platforma za preprodaju

autor Ruoxuan Pan, Junjie Tang and Huixiang Chen

Dobitnik nagrade Željezna nagrada A' Design Award u kategoriji Mobilni

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Pogledajte na A' Design Award Saopštenje za medije Značka nagrade

Boje

Dizajn

O dizajnu Closet AI Platforma za preprodaju

Closet AI je mobilna platforma za preprodaju polovne odjeće. Korisnici učitavaju slike odjeće, a aplikacija generiše kategorije, opise i predložene cijene na osnovu podataka o preprodaji. Tokom pregovaranja, sistem sastavlja prijedloge odgovora koje korisnici mogu urediti ili odobriti, tako da konačne odluke ostaju na prodavcu. Sistem nagrađivanja prati napredak kroz zadatke, značke i prekretnice. Platforma je razvijena kroz istraživanje ponašanja u preprodaji. Cilj je smanjiti vrijeme i trud koji odvraćaju od učešća u cirkularnoj modi.

Priznanje

O nagradi Željezna nagrada A' Design Award

Closet AI Platforma za preprodaju je pobjednik Željezne nagrade A' Design Award, prestižnog priznanja koje se dodjeljuje dobrim dizajnima što ispunjavaju profesionalne i industrijske zahtjeve očekivane od dobro dizajniranih kreacija. Željezni pobjednici pokazuju veliku vještinu, visoku specijalizaciju, stručno razumijevanje i kreativne kapacitete svojih stvaralaca. Očekuje se da Closet AI Platforma za preprodaju bude visoko cijenjena, voljena i njegovana kreacija koja je praktična i inovativna. Ovaj dizajn koji je osvojio Željeznu nagradu A' Design Award integrira najbolje industrijske prakse i ima kompetentne tehničke karakteristike povezane sa znanjem i talentom. Closet AI Platforma za preprodaju se poštuje zbog svoje temeljitosti i dizajniran je da pruži poboljšanja kvaliteta života koja pomažu da svijet postane bolje mjesto.

Iza dizajna

Press komplet

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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.
Dimenzije i pakovanje: 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.
Oznake: 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
Tehnologija proizvodnje: 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.
Dizajnerski izazov: 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.
Istraživanje: 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.
Inspiracija: 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.
Trajanje projekta: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Tok rada: 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.
Članovi tima: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Autorstvo slika: 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