Closet AI Herverkoop-handelsplatform deur Ruoxuan Pan, Junjie Tang and Huixiang Chen

Die ontwerp Closet AI Herverkoop-handelsplatform deur Ruoxuan Pan, Junjie Tang and Huixiang Chen is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2026 A' Design Award in Yster in die Mobiele Tegnologieë, Toepassings en Sagteware Ontwerp-kompetisiekategorie.

YsterMobiel· 2026

Closet AI Herverkoop-handelsplatform

deur Ruoxuan Pan, Junjie Tang and Huixiang Chen

Wenner van die A' Design Award in Yster in die Mobiel-kategorie

6,336

Geverifieerde Toekenningswenner

Verifieer Toekenningsstatus vir #182338

Bekyk by A' Design Award Persverklaring Toekenningskenteken

Kleure

Die Ontwerp

Oor Closet AI Herverkoop-handelsplatform

Closet AI is 'n mobiele herverkoopplatform vir tweedehandse klere. Gebruikers laai klerebeelde op, en die toepassing genereer kategorieë, beskrywings en voorgestelde pryse gebaseer op herverkoopdata. Tydens onderhandeling stel die stelsel antwoordvoorstelle op wat gebruikers kan redigeer of goedkeur, sodat finale besluite by die verkoper bly. 'n Beloningstelsel volg vordering deur middel van soektogte, kentekens en mylpale. Die platform is ontwikkel deur navorsing oor herverkoopgedrag. Die doel is om die tyd en moeite te verminder wat deelname aan sirkulêre mode ontmoedig.

Die Erkenning

Oor die A' Design Award in Yster

Closet AI Herverkoop-handelsplatform is 'n wenner van die A' Design Award in Yster, 'n prestigieuse erkenning wat toegeken word aan goeie ontwerpe wat voldoen aan die professionele en industriële vereistes wat van goed ontwerpte skeppings verwag word. Wenners in Yster toon groot vaardigheid, hoë spesialisasie, kundige begrip en die kreatiewe vermoë van hul skeppers. Daar word verwag dat Closet AI Herverkoop-handelsplatform 'n hoog aangeskrewe, bewonderde en gekoesterde skepping is wat prakties en innoverend is. Hierdie ontwerp wat die A' Design Award in Yster gewen het, integreer die beste praktyke in die bedryf en het bekwame tegniese kenmerke gekoppel aan kundigheid en talent. Closet AI Herverkoop-handelsplatform word gerespekteer vir sy deeglikheid en is ontwerp om verbeterings in lewensgehalte te bied wat help om die wêreld 'n beter plek te maak.

Agter die Ontwerp

Persstel

Krediete, spanlede en tegniese besonderhede verskaf deur die ontwerper.

Unieke Eienskappe: 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.
Afmetings & Verpakking: 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.
Etikette: 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
Produksietegnologie: 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.
Ontwerpuitdaging: 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.
Navorsing: 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.
Inspirasie: 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.
Projekduur: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Bedryfsvloei: 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.
Spanlede: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Beeldkrediete: 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