Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa na Ruoxuan Pan, Junjie Tang and Huixiang Chen

Umushinga Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa wa Ruoxuan Pan, Junjie Tang and Huixiang Chen ni uwatsinze igihembo cyubahwa cyane 2026 Igihembo cya A' Design Award cy'icyuma mu Cyiciro cy'Ihiganwa cya Telefoni Igendanwa.

IcyumaTelefoni Igendanwa· 2026

Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa

na Ruoxuan Pan, Junjie Tang and Huixiang Chen

Uwatsinze Igihembo cya A' Design Award cy'icyuma mu Cyiciro cya Telefoni Igendanwa

5,797

Uwatsinze Igihembo Yemejwe

Emeza Uko Igihembo Gihagaze ku #182338

Reba kuri A' Design Award Itangazo ry'Ikinyamakuru Ikimenyetso cy'Igihembo

Amabara

Imigereranyo

Ibyerekeye Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa

Closet AI ni urubuga rwa telefoni igendanwa rwo kongera kugurisha imyenda yakoreshejwe. Abakoresha bashyiraho amafoto y'imyenda, maze porogaramu igakora ibyiciro, ibisobanuro n'ibiciro bisabwa bishingiye ku makuru y'isoko ryo kongera kugurisha. Mu gihe cyo kuganira ku giciro, sisitemu itegura ibitekerezo by'ibisubizo abakoresha bashobora guhindura cyangwa kwemeza, ku buryo icyemezo cya nyuma kiguma mu maboko y'umucuruzi. Sisitemu y'ibihembo ikurikirana iterambere binyuze mu mikino y'ubutumwa, udushimwe n'intambwe zagezweho. Uru rubuga rwakozwe binyuze mu bushakashatsi ku myitwarire yo kongera kugurisha. Intego ni ukugabanya igihe n'imbaraga bituma abantu badashishikarira kwitabira imideri izenguruka.

Ishimwe

Ibyerekeye Igihembo cya A' Design Award cy'icyuma

Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa ni uwegukanye Igihembo cya A' Design Award cy'icyuma, ishimwe ry'agaciro ritangwa ku bishushanyo byiza bihuza ibyo umwuga n'inganda bikeneye ku bihangano byashushanyijwe neza. Abegukanye icyuma bagaragaza ubuhanga bukomeye, ubumenyi bwihariye, imyumvire y'inzobere n'ubushobozi bwo guhanga bw'ababikoze. Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa biteganyijwe ko izaba igihangano cyubahwa, gishimwa kandi gikundwa, gifatika kandi gifite udushya. Iki gishushanyo cyegukanye icyuma gihuza uburyo bwiza bukoreshwa mu nganda kandi gifite ibiranga bya tekiniki bifite ubushobozi, bifatanye n'ubumenyi n'impano. Closet AI Urubuga rw'Ubucuruzi bw'Ibyongera Kugurishwa yubahwa kubera gukora neza, kandi yashushanyijwe kugira ngo inoze ubuzima, ifashe gutuma isi iba nziza.

Inyuma y'Imigereranyo

Dosiye y'Itangazamakuru

Amazina y'abagize uruhare, abagize itsinda n'amakuru y'ubuhanga byatanzwe n'umuhanzi.

Ibintu Bidasanzwe: 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.
Ibipimo n'Ipaki: 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.
Ibibazo Fatizo: 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
Ikoranabuhanga ryo Guteza Imbere: 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.
Ikibazo cy'Ishusho: 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.
Ubushakashatsi: 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.
Ibyatumye Habaho: 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.
Igihe cy'Umushinga: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Uburyo bw'Imikorere: 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.
Abagize Itsinda: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Abafotoye: 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