Closet AI Lub Platform Muag Khoom Rov Muag los ntawm Ruoxuan Pan, Junjie Tang and Huixiang Chen

Qhov qauv tsim Closet AI Lub Platform Muag Khoom Rov Muag los ntawm Ruoxuan Pan, Junjie Tang and Huixiang Chen yog tus yeej muaj nqis heev ntawm qhov khoom plig 2026 A' Design Award Hlau hauv Pawg Sib Tw Tsim Thev Naus Laus Zis Xov Tooj, Apps thiab Software.

HlauXov Tooj· 2026

Closet AI Lub Platform Muag Khoom Rov Muag

los ntawm Ruoxuan Pan, Junjie Tang and Huixiang Chen

Tus Yeej A' Design Award Hlau hauv Pawg Xov Tooj

6,336

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #182338

Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog Closet AI Lub Platform Muag Khoom Rov Muag

Closet AI yog ib lub platform hauv xov tooj ntawm tes rau kev muag khaub ncaws siv lawm. Cov neeg siv rub cov duab khaub ncaws mus rau hauv, ces lub app yuav tsim cov pawg khoom, cov lus piav qhia thiab cov nqi pom zoo raws li cov ntaub ntawv muag rov qab. Thaum sib tham nqi, lub system yuav sau cov lus teb pom zoo uas cov neeg siv muaj peev xwm kho lossis pom zoo, kom qhov kev txiav txim zaum kawg tseem nyob ntawm tus neeg muag. Muaj ib lub system muab khoom plig uas taug qab kev vam meej los ntawm cov dej num, cov paib koob meej thiab cov theem kev ua tiav. Lub platform no raug tsim los ntawm kev tshawb fawb txog tus cwj pwm ntawm kev muag rov qab. Lub hom phiaj yog txo lub sij hawm thiab lub zog uas ua rau tib neeg tsis xav koom nrog kev hnav khaub ncaws rov siv dua (circular fashion).

Qhov Lees Paub

Txog A' Design Award Hlau

Closet AI Lub Platform Muag Khoom Rov Muag yog tus yeej ntawm A' Design Award Hlau, ib qho kev lees paub muaj meej mom uas muab rau cov qauv tsim zoo uas ua tau raws li cov kev xav tau ntawm kev ua haujlwm thiab kev lag luam uas xav tau los ntawm cov khoom tsim zoo. Cov neeg yeej Hlau qhia txog kev txawj loj, kev paub tshwj xeeb siab, kev nkag siab ntawm cov kws tshaj lij thiab lub peev xwm tsim ntawm cov neeg tsim. Closet AI Lub Platform Muag Khoom Rov Muag xav tias yuav yog ib qho khoom tsim uas neeg hwm, qhuas thiab hlub uas siv tau thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Hlau no sib xyaw cov kev coj ua zoo tshaj plaws ntawm kev lag luam thiab muaj cov yam ntxwv siv tshuab txawj ntse txuas nrog kev paub thiab txuj ci. Closet AI Lub Platform Muag Khoom Rov Muag tau txais kev hwm vim nws tag nrho thiab tsim los muab kev txhim kho rau lub neej uas pab ua rau lub ntiaj teb zoo dua.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: 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.
Qhov Loj & Ntim: 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.
Cov Ntsiab Lus: 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
Thev Naus Laus Zis Tsim Khoom: 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.
Kev Sib Tw Tsim Qauv: 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.
Kev Tshawb Fawb: 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.
Kev Txhawb Siab: 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.
Lub Sij Hawm Ua Hauj Lwm: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Txheej Txheem Ua Hauj Lwm: 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.
Cov Tswv Cuab Pab: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Kev Qhuas Duab: 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