Closet AI Sehatra Varotra Fivarotana Indray nataon'i Ruoxuan Pan, Junjie Tang and Huixiang Chen

Ny endrika Closet AI Sehatra Varotra Fivarotana Indray nataon'i Ruoxuan Pan, Junjie Tang and Huixiang Chen dia mpandresy sarobidy amin'ny 2026 A' Design Award Vy amin'ny Sokajin'ny Fifanintsanana Famolavolana Teknolojia Finday, Fampiharana ary Rindrambaiko.

VyFinday· 2026

Closet AI Sehatra Varotra Fivarotana Indray

nataon'i Ruoxuan Pan, Junjie Tang and Huixiang Chen

Mpandresy A' Design Award Vy amin'ny Sokajy Finday

6,336

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #182338

Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Closet AI Sehatra Varotra Fivarotana Indray

Closet AI dia sehatra finday ho an'ny fivarotana indray ny akanjo efa nampiasaina. Mampiditra sarin'akanjo ny mpampiasa, ary ny rindranasa dia mamokatra sokajy, famaritana ary vidiny atolotra mifototra amin'ny angona momba ny fivarotana indray. Mandritra ny fifampiraharahana, ny rafitra dia manolotra volavolan-kevitra ho valin-teny izay azon'ny mpampiasa ovaina na ankatoavina, ka mijanona amin'ny mpivarotra ny fanapahan-kevitra farany. Misy rafitra valisoa manara-maso ny fandrosoana amin'ny alalan'ny asa atao, mari-pankasitrahana ary dingana tratra. Novolavolaina tamin'ny alalan'ny fikarohana momba ny fihetsiky ny fivarotana indray ity sehatra ity. Ny tanjona dia ny hampihenana ny fotoana sy ny ezaka izay manakivy ny fandraisana anjara amin'ny lamaody mihodina.

Ny Fankasitrahana

Momba ny A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Closet AI Sehatra Varotra Fivarotana Indray, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Closet AI Sehatra Varotra Fivarotana Indray. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Closet AI Sehatra Varotra Fivarotana Indray dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: 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.
Marika: 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
Teknolojia Famokarana: 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.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Fizotr'asa: 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.
Mpikambana ao amin'ny Ekipa: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Loharanon-tsary: 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