Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona ngu-Ruoxuan Pan, Junjie Tang and Huixiang Chen

Uyilo olubizwa ngokuba yi-Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona olwenziwe ngu-Ruoxuan Pan, Junjie Tang and Huixiang Chen ngumwini obekekileyo webhaso elinobukhazikhazi le-2026 Ibhaso Lentsimbi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo loBuxhakaxhaka beMobhayili, iiAplikeyishini kunye neSoftwe.

IntsimbiImobhayili· 2026

Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona

ngu Ruoxuan Pan, Junjie Tang and Huixiang Chen

Umwini we-Ibhaso Lentsimbi le-A' Design Award Kudidi Lwe-Imobhayili

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Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#182338

Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona

I-Closet AI liqonga lefowuni lokuthengisa kwakhona iimpahla ezisetyenzisiweyo. Abasebenzisi bafaka imifanekiso yeempahla, kwaye le aplikheshini ivelisa iindidi, iinkcazelo kunye namaxabiso acetyiswayo ngokusekelwe kwidatha yokuthengisa kwakhona. Ngexesha lothethathethwano, inkqubo iyila iingcebiso zeempendulo abasebenzisi abanokuzihlela okanye bazivume, ukuze izigqibo zokugqibela zihlale zisezandleni zomthengisi. Inkqubo yemivuzo ilandelela inkqubela ngokusebenzisa imisebenzi, iimbasa kunye namanqanaba abalulekileyo. Eli qonga laphuhliswa ngophando malunga nendlela abantu abathengisa ngayo kwakhona. Injongo kukunciphisa ixesha kunye nomzamo ozikhalisayo abantu ekuthatheni inxaxheba kwifashoni ejikelezayo.

Ukuqatshelwa

Malunga ne-Ibhaso Lentsimbi le-A' Design Award

Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona ngumphumeleli weIbhaso Lentsimbi le-A' Design Award, ukuqatshelwa okuhlonitshwayo okunikwa imiyilo elungileyo eyanelisa iimfuno zobungcali neemveliso ezilindelekileyo kwimveliso ezicwangciswe kakuhle. Abaphumeleleyo beNtsimbi babonisa ubuchule obukhulu, ubuchule obuphezulu, ukuqonda kwengcali namandla okuyila abayili babo. Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona iyathenjwa ukuba ibe yimveliso exatyiswa kakhulu, edunyiswayo nethandwayo esebenzayo neyinto entsha. Lo myilo uphumeleleyo weIbhaso Lentsimbi le-A' Design Award udibanisa iindlela ezilungileyo kakhulu zemboleko kwaye unezimpawu zobuchwephesha ezifanelekileyo ezidityaniswe nolwazi netalente. Closet AI Iqonga Lorhwebo Lokuthengiswa Kwakhona iyahlonelwa ngenxa yenkcukacha yayo kwaye yacwangciselwa ukunika uphuculo lomgangatho wobomi olunceda ukwenza ihlabathi libe yindawo engcono.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: 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.
Iithegi: 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 Bokuvelisa: 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.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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 Beprojekthi: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Ukuhamba Komsebenzi: 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 Eqela: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Amagunya Emifanekiso: 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