Closet AI Palattaraq Balluq Paimeng Barang-Barang naébbu Ruoxuan Pan, Junjie Tang and Huixiang Chen iyanaritu pammènangngé iya temmaka riéloinna ri 2026 A' Design Award Bessi ri Katégori Kompétisi Desain Teknologi Mobile, Aplikasi, dan Perangkat Lunak.
BessiMobile· 2026
Closet AI Palattaraq Balluq Paimeng Barang-Barang
ᨑᨗ Ruoxuan Pan, Junjie Tang and Huixiang Chen
Pammènangngé A' Design Award Bessi ri Katégori Mobile
Pammènangngé Anugérah Naparessoi
Paressoi Status Anugérah untu #182338ᨉᨙᨔᨕᨗᨊᨙ
ᨄᨙᨑᨗᨖᨒ Closet AI Palattaraq Balluq Paimeng Barang-Barang
Closet AI iyanaritu palattaraq mobile untuq mabbaluq paimeng pakéang purae ripaké. Sining pappakéna mappaénréq gambaraq pakéang, na aplikasi-é mébbu kategori, pappakatajang sibawa ellinna nasaba data abbaluq-baluqeng paimeng. Wettunna sipattawa-tawa elli, sistem-é mébbu pangéloreng pappébali iya weddingngé napédécéngi iyaréga naterima pappakéna, jaji apettung paccappurenna monro ri pabbaluqé. Séddi sistem pappadongkoq najagai lalenna pallolongengngé naolai quest, badge sibawa milestone. Iyaé palattaraq-é ripancaji naolai paressa passaleng ampé-ampé abbaluq-baluqeng paimeng. Akkattana iyanaritu pakurangi wettu sibawa usaha iya pédécéngiéngngi taué maccowé ri fashion mattulili-é.
ᨄᨂᨑᨁᨙ
ᨄᨙᨑᨗᨖᨒ A' Design Award Bessi
Closet AI Palattaraq Balluq Paimeng Barang-Barang iyanaritu pakoro A' Design Award Bessi, pakalebbi iya malebbi iya ripabbere ri desain makessing iya mappabbura persyaratan profesional sibawa industri iya ripakkirangngi pole ri ciptaan iya makessing ripikkiri. Pakoro Bessi mappakita keterampilan malompo, spesialisasi dalleng, pemahaman ahli sibawa kapasitas kreatif tau mabbuat. Closet AI Palattaraq Balluq Paimeng Barang-Barang ripakkirangngi mancaji ciptaan iya ripakalebbi, ripuji sibawa rirennu iya praktis sibawa inovatif. Desain pakoro A' Design Award Bessi iyae mappasilaong praktik tepat industri sibawa napaitai karakteristik teknis iya kompeten iya sipulung sibawa pengetahuan sibawa bakat. Nasaba ketelitiannna, Closet AI Palattaraq Balluq Paimeng Barang-Barang mappoleang pakalebbi sibawa ripikkiri mappabbere perbaikan kualitas laleng iya ritulung mappadeceng lino mancaji tempe makessing.
ᨑᨗ ᨆᨘᨋᨗᨊᨙ ᨉᨙᨔᨕᨗ
ᨀᨗ ᨄᨙᨑᨙ
ᨀᨑᨙᨉᨗ, ᨕᨂᨚᨈ ᨈᨗᨆ ᨔᨗᨅᨓ ᨑᨗᨏᨗ ᨈᨙᨀᨊᨗ ᨊᨄᨓᨙᨑᨙ ᨑᨗ ᨉᨙᨔᨕᨗᨊᨑᨙ.
- Sipa Khas
- 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.
- Ukurang & Kemasang
- 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.
- Tag
- 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
- Téknologi Produksi
- 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.
- Tantangeng Désain
- 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.
- Panélitiang
- 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.
- Inspirasi
- 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.
- Wettu Proyék
- The project began in Dec 2025 in Austin and is currently in advanced prototype development.
- Alur Opérasi
- 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.
- Anggota Tim
- Ruoxuan Pan
Junjie Tang
Huixiang Chen - Krédit Gambar
- 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
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