Ruoxuan Pan, Junjie Tang and Huixiang Chen tarapyndan Closet AI Gaýtadan Satuw Söwda Platformasy

Ruoxuan Pan, Junjie Tang and Huixiang Chen tarapyndan döredilen Closet AI Gaýtadan Satuw Söwda Platformasy dizaýny Mobil Tehnologiýalar, Programmalar we Programma Üpjünçiligi Dizaýny Bäsleşik Kategoriýasynda 2026 A' Design Award Demir Baýragy baýragynyň abraýly ýeňijisidir.

DemirMobil· 2026

Closet AI Gaýtadan Satuw Söwda Platformasy

dizaýner: Ruoxuan Pan, Junjie Tang and Huixiang Chen

Mobil Kategoriýasynda A' Design Award Demir Baýragy Ýeňijisi

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Tassyklanan Baýrak Ýeňijisi

#182338 üçin Baýrak Ýagdaýyny Barlaň

A' Design Award-da görüň Metbugat beýannamasy Baýrak nyşany

Reňkler

Dizaýn

Closet AI Gaýtadan Satuw Söwda Platformasy hakynda

Closet AI ikinji el egin-eşikler üçin ykjam gaýtadan satuw platformasydyr. Ulanyjylar egin-eşikleriň suratlaryny ýükleýärler, we programma gaýtadan satuw maglumatlaryna esaslanyp kategoriýalary, beýanlary we teklip edilýän bahalary döredýär. Söwdalaşyk döwründe ulgam ulanyjylaryň üýtgedip ýa-da tassyklap bilýän jogap tekliplerini taýýarlaýar, şeýlelikde ahyrky kararlar satyjyda galýar. Sylag ulgamy tabşyryklar, nyşanlar we üstünlik basgançaklary arkaly ösüşi yzarlaýar. Platforma gaýtadan satuw özüni alyp barşy boýunça geçirilen barlaglaryň esasynda işlenip düzüldi. Maksat aýlawly modada gatnaşmakdan saklaýan wagt we güýç sarpyny azaltmakdyr.

Ykrar etme

A' Design Award Demir Baýragy hakynda

Closet AI Gaýtadan Satuw Söwda Platformasy A' Design Award Demir Baýragynyň ýeňijisidir; bu gowy dizaýn edilen eserlerden garaşylýan hünär we senagat talaplaryny kanagatlandyrýan gowy dizaýnlara berilýän abraýly ykrarnamadyr. Demir ýeňijileri döredijileriniň uly başarnygyny, ýokary ugurlaşygyny, hünärmen düşünjesini we döredijilik ukybyny görkezýär. Closet AI Gaýtadan Satuw Söwda Platformasy uly baha berilýän, haýran galynýan we söýülýän, amaly we täzelikçi eser bolmagy garaşylýar. A' Design Award Demir Baýragyny gazanan bu dizaýn pudagyň iň oňat tejribelerini birleşdirýär we bilim we zehin bilen baglanyşykly ukyply tehniki aýratynlyklara eýedir. Closet AI Gaýtadan Satuw Söwda Platformasy jikme-jikligi üçin hormatlanylýar we dünýäni has gowy ýere öwürmäge kömek edýän ýaşaýyş hilini gowulandyrýan zatlary hödürlemek üçin dizaýn edilendir.

Dizaýnyň sahna arkasy

Metbugat toplumy

Dizaýner tarapyndan berlen kreditler, topar agzalary we tehniki maglumatlar.

Üýtgeşik Aýratynlyklar: 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.
Ölçegler we Gaplama: 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.
Bellikler: 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
Önümçilik Tehnologiýasy: 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.
Dizaýn Kynçylygy: 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.
Gözleg: 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.
Ylham: 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.
Taslama Dowamlylygy: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Iş Akymy: 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.
Topar Agzalary: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Surat Awtorlary: 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