Dizayini ya Closet AI Nsanja ya Malonda Ogulitsanso ndi Ruoxuan Pan, Junjie Tang and Huixiang Chen ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2026 Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Ukadaulo wa Foni, Mapulogalamu ndi Mapulogalamu a Foni.
ChitsuloFoni· 2026
Closet AI Nsanja ya Malonda Ogulitsanso
ndi Ruoxuan Pan, Junjie Tang and Huixiang Chen
Wopambana pa Mphoto ya Chitsulo ya A' Design Award mu Gawo la Foni
Wopambana Wotsimikizidwa
Tsimikizani Mkhalidwe wa Mphotho ya #182338Kapangidwe
Za Closet AI Nsanja ya Malonda Ogulitsanso
Closet AI ndi nsanja ya pa foni yogulitsira zovala zogwiritsidwa ntchito kale. Ogwiritsa ntchito amakweza zithunzi za zovala, ndipo pulogalamuyi imapanga magulu, mafotokozedwe ndi mitengo yoyenera kutengera deta ya malonda ogulitsanso. Pokambirana za mtengo, dongosololi limalemba mayankho oyenera omwe ogwiritsa ntchito angathe kusintha kapena kuvomereza, kotero kuti zisankho zomaliza zimakhalabe m'manja mwa wogulitsa. Dongosolo la mphotho limatsata mmene munthu akuyendera kudzera mu ntchito zapadera, mabaji ndi zolinga zofikiridwa. Nsanjayi inapangidwa kudzera mu kafukufuku wa makhalidwe a anthu ogulitsanso zinthu. Cholinga chake ndi kuchepetsa nthawi ndi khama zomwe zimalepheretsa anthu kutenga nawo mbali mu mafashoni ozungulira mobwerezabwereza.
Chidziwitso
Za Mphoto ya Chitsulo ya A' Design Award
Closet AI Nsanja ya Malonda Ogulitsanso ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Closet AI Nsanja ya Malonda Ogulitsanso akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Closet AI Nsanja ya Malonda Ogulitsanso amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.
Kumbuyo kwa Kapangidwe
Katundu wa Atolankhani
Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.
- Makhalidwe Apadera
- 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.
- Miyezo ndi Kuphimba
- 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.
- Zizindikiro
- 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
- Teknoloji Yopangira
- 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.
- Vuto la Dizayini
- 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.
- Kafukufuku
- 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.
- Chilimbikitso
- 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.
- Nthawi ya Polojekiti
- The project began in Dec 2025 in Austin and is currently in advanced prototype development.
- Mdondomeko ya Ntchito
- 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.
- Mamembala a Gulu
- Ruoxuan Pan
Junjie Tang
Huixiang Chen - Mwini Zithunzi
- 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
Zolipidwa
Fufuzani Kupitilira Designers.org
Onani zinthu, ntchito ndi mwayi kuchokera kwa ogulitsa athu aulaliki.
Zina Zofufuza
Mapangidwe Ofanana
Fufuzani mapangidwe ena opambana mphotho ochokera mu gulu lomweli, osankhidwa malinga ndi ukadaulo.
