Closet AI Pae Tauhokohoko Hokona Anō nā Ruoxuan Pan, Junjie Tang and Huixiang Chen

Ko te hoahoa Closet AI Pae Tauhokohoko Hokona Anō nā Ruoxuan Pan, Junjie Tang and Huixiang Chen he kaitoa whakahirahira o te 2026 A' Design Award Rino i te Wāhanga Whakataetae Hoahoa Hangarau Pūkoro, Tono me te Pūmanawa.

RinoPūkoro· 2026

Closet AI Pae Tauhokohoko Hokona Anō

nā Ruoxuan Pan, Junjie Tang and Huixiang Chen

Kaitoa o te A' Design Award Rino i te Wāhanga Pūkoro

6,336

Kaitoa Tohu Manatokohia

Manatokohia te Tūnga Tohu mō #182338

Tirohia i te A' Design Award Pānui Pāpāho Tohu Tohu

Ngā Tae

Te Hoahoa

Mō Closet AI Pae Tauhokohoko Hokona Anō

Ko Closet AI he pae hokona anō ā-waea pūkoro mō ngā kākahu tuarua. Ka tukuna e ngā kaiwhakamahi ngā whakaahua kākahu, ā, ka waihangatia e te taupānga ngā kāwai, ngā whakaahuatanga me ngā utu e whakaarohia ana i runga i ngā raraunga hokona anō. I te wā whiriwhiri, ka tuhia e te pūnaha ngā whakaaro whakautu ka taea e ngā kaiwhakamahi te whakatika, te whakaae rānei, nō reira ka noho tonu ngā whakatau whakamutunga ki te kaihoko. Ka aroturukihia e tētahi pūnaha whakawhiwhinga te ahunga whakamua mā ngā uiuinga kēmu, ngā tohu me ngā pae whakahirahira. I whakawhanakehia te pae mā te rangahau i ngā whanonga hokona anō. Ko te whāinga kia whakaitihia te wā me te kaha e ārai ana i te whai wāhi ki te ao kākahu porohita.

Te Whakamihi

Mō te A' Design Award Rino

Ko Closet AI Pae Tauhokohoko Hokona Anō te toa o te A' Design Award Rino, he whakaaetanga whai mana e hoatu ana ki ngā hoahoa pai e whakatutuki ana i ngā hiahia ngaio me te ahumahi e tūmanakohia ana mai i ngā mahi kua hoahoatia pai. Ko ngā toa Rino e whakaatu ana i te pukenga nui, te tohungatanga teitei, te māramatanga mātanga me te kaha auaha o ō rātou kaihanga. E tūmanakohia ana ko Closet AI Pae Tauhokohoko Hokona Anō he mahi whakanuia, whakamīharotia, aroha nui, he whaihua, he auaha hoki. Ko tēnei hoahoa i toa i te Rino e whakakotahi ana i ngā tikanga pai rawa o te ahumahi, ā, he āhuatanga hangarau pūkenga tōna e hono ana ki te mōhio me te pūmanawa. E whakahonoretia ana a Closet AI Pae Tauhokohoko Hokona Anō mō tōna tōtika, ā, i hoahoatia hei whakapai ake i te kounga o te oranga me te āwhina i te ao kia pai ake.

I Muri i te Hoahoa

Kete Pāpāho

Ngā whakamihi, ngā mema o te rōpū me ngā taipitopito hangarau i whakaratohia e te kaihoahoa.

Āhuatanga Motuhake: 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.
Inenga & Pēketanga: 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.
Tūtohu: 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
Hangarau Whakanao: 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.
Wero Hoahoa: 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.
Rangahau: 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.
Whakaaweawe: 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.
Roanga o te Kaupapa: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Rerenga Mahi: 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.
Ngā Mema o te Rōpū: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Whakamana Whakaahua: 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