Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha ngu-Ruoxuan Pan, Junjie Tang and Huixiang Chen

Umdwebo Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha ngu-Ruoxuan Pan, Junjie Tang and Huixiang Chen ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2026 Umklomelo Wensimbi we-A' Design Award Esigabeni Somncintiswano se-Iselula.

InsimbiIselula· 2026

Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha

ngu Ruoxuan Pan, Junjie Tang and Huixiang Chen

Umnqobi we-Umklomelo Wensimbi we-A' Design Award Esigabeni se-Iselula

6,336

Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#182338

Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha

I-Closet AI iyiplathifomu yeselula yokuthengisa kabusha izingubo ezisetshenzisiwe. Abasebenzisi balayisha izithombe zezingubo, bese uhlelo lokusebenza lukhiqiza izigaba, izincazelo namanani aphakanyisiwe ngokusekelwe kudatha yokuthengisa kabusha. Ngesikhathi sokuxoxisana, isistimu ibhala iziphakamiso zezimpendulo abasebenzisi abangazihlela noma bazivumele, ukuze izinqumo zokugcina zihlale kumthengisi. Isistimu yemiklomelo ilandelela inqubekela phambili ngemisebenzi, amabheji nezigaba ezibalulekile. Le plathifomu yathuthukiswa ngocwaningo lokuziphatha kokuthengisa kabusha. Inhloso ukunciphisa isikhathi nomzamo okuvimbela ukubamba iqhaza kwifashini ejikelezayo.

Ukuqashelwa

Mayelana ne-Umklomelo Wensimbi we-A' Design Award

Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha iwinile uMklomelo Wensimbi we-A' Design Award, ukwaziswa okuhloniphekile okunikezwa imiklamo emihle ehlangabezana nezidingo zobungcweti nezemboni ezilindelekile ezimpahleni ezihlelwe kahle. Abawinile beNsimbi babonisa ikhono elikhulu, ubungcweti obuphezulu, ukuqonda kochwepheshe namandla okudala abadali babo. Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo esebenzayo nenezinto ezintsha. Lo mklamo owinile uMklomelo Wensimbi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu zemboni futhi unezimfanelo zobuchwepheshe ezifanelekile ezihlanganiswe nolwazi nethalente. Closet AI Iplathifomu Yezohwebo Lokuthengiswa Kabusha iyahlonishwa ngenxa yokucophelela kwayo futhi ihlelelwe ukulethela izinguquko zomgangatho wempilo ezisiza ukwenza umhlaba ube yindawo engcono.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: 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.
Amathegi: 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
Ubuchwepheshe Bokukhiqiza: 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.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Ukuhamba Kokusebenza: 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.
Amalungu Eqembu: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Amakhredithi Ezithombe: 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