Closet AI Tiɣergabt n Tnezzut n Uzenzi n Snat n Tikkal sɣur Ruoxuan Pan, Junjie Tang and Huixiang Chen d anerbaz yettwaqadren meqqren n 2026 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel n Tetiknulujiyin Tizirawin, Isnasen d Useɣẓan.
UzzalAziraw· 2026
Closet AI Tiɣergabt n Tnezzut n Uzenzi n Snat n Tikkal
sɣur Ruoxuan Pan, Junjie Tang and Huixiang Chen
Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Aziraw
Anerbaz n Urraz Yettwasenqden
Senqed Addad n Urraz i #182338Afeṣṣel
Ɣef Closet AI Tiɣergabt n Tnezzut n Uzenzi n Snat n Tikkal
Closet AI d tiɣergabt n uziraz izmumeg i uzenzi n yiselsa yettwaselsen yakan. Iseqdacen ttalayen tugniwin n yiselsa, syen usnas isnulfuy-d taggayin, iglamen akked ssuma yettwaweṣṣan ɣef lsas n yisefka n uzenzi n snat n tikkal. Deg wemyannaɣ ɣef ssuma, anagraw yessuggut-d isumar n tririt i yezmer useqdac ad ten-ibeddel neɣ ad ten-iqbel, ihi taggara n uɣtas teqqim ger yifassen n umzenzi. Anagraw n warraz iḍfar asnerni s tzemmar, tibadjiwin akked yiswiyen. Tiɣergabt tettwasnulfa-d s unadi ɣef tikli n yimdanen deg uzenzi n snat n tikkal. Iswi d asenqes n wakud d wussis i yesseɛyayen imdanen ɣef uttekki deg tmoda tuzzilant.
Asmekti
Ɣef Tarbaḥt A' Design Award n Uzzal
Closet AI Tiɣergabt n Tnezzut n Uzenzi n Snat n Tikkal d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Closet AI Tiɣergabt n Tnezzut n Uzenzi n Snat n Tikkal ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.
Deffir n ufeṣṣel
Tagrurt n tɣamsa
Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.
- Taɣara Tasuft
- 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.
- Tigejdiwin & Akemmus
- 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.
- Tibzimin
- 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
- Tasnakta n Ufares
- 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.
- Asewḥel n Usnulfu
- 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.
- Anadi
- 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.
- Aseḥbiber
- 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.
- Tanzagt n Usenfar
- The project began in Dec 2025 in Austin and is currently in advanced prototype development.
- Tanila n Umahil
- 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.
- Igmamen n Terbaɛt
- Ruoxuan Pan
Junjie Tang
Huixiang Chen - Imsuren n Tugniwin
- 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
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