Closet AI Platfform Masnach Ailwerthu gan Ruoxuan Pan, Junjie Tang and Huixiang Chen

Mae Closet AI Platfform Masnach Ailwerthu gan Ruoxuan Pan, Junjie Tang and Huixiang Chen yn enillydd uchel ei barch o'r 2026 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Symudol.

HaearnSymudol· 2026

Closet AI Platfform Masnach Ailwerthu

gan Ruoxuan Pan, Junjie Tang and Huixiang Chen

Enillydd Gwobr Haearn A' Design Award yn y Categori Symudol

6,336

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #182338

Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Closet AI Platfform Masnach Ailwerthu

Mae Closet AI yn blatfform ailwerthu symudol ar gyfer dillad ail-law. Mae defnyddwyr yn uwchlwytho delweddau o ddillad, ac mae'r rhaglen yn cynhyrchu categorïau, disgrifiadau a phrisiau awgrymedig yn seiliedig ar ddata ailwerthu. Yn ystod trafodaethau, mae'r system yn drafftio awgrymiadau ateb y gall defnyddwyr eu golygu neu eu cymeradwyo, fel bod y penderfyniadau terfynol yn aros gyda'r gwerthwr. Mae system wobrwyo yn olrhain cynnydd trwy gwestau, bathodynnau a cherrig milltir. Datblygwyd y platfform trwy ymchwil i ymddygiad ailwerthu. Y nod yw lleihau'r amser a'r ymdrech sy'n atal pobl rhag cymryd rhan mewn ffasiwn gylchol.

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae Closet AI Platfform Masnach Ailwerthu yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i Closet AI Platfform Masnach Ailwerthu fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir Closet AI Platfform Masnach Ailwerthu am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: 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
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Llif Gweithrediad: 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.
Aelodau'r Tîm: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Cydnabyddiaeth Delweddau: 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