Closet AI Platform Dagang Baliak Jua dek Ruoxuan Pan, Junjie Tang and Huixiang Chen adolah pamenang nan sangaik tahormat dari A' Design Award Basi 2026 nan sangaik prestigius dalam Kategori Kompetisi Seluler.
BasiSeluler· 2026
Closet AI Platform Dagang Baliak Jua
dek Ruoxuan Pan, Junjie Tang and Huixiang Chen
Pamenang A' Design Award Basi dalam Kategori Seluler
Pamenang Pangharogaan Taverifikasi
Verifikasi Status Pangharogaan untuak #182338Desain
Tantang Closet AI Platform Dagang Baliak Jua
Closet AI adolah platform mobile untuak manjua baliak baju bakeh. Pangguno maunggah gambar baju, jo aplikasi ko mambuek kategori, deskripsi sarato harago nan disaranan badasarkan data jual baliak. Salamo tawa-manawa, sistem ko mambuek saran balasan nan bisa diubah atau disatujui dek pangguno, jadi kaputusan akhia tatap di tangan panjua. Sistem hadiah mancatat kamajuan malalui misi, lencana jo pancapaian. Platform ko dikambangan malalui panalitian tantang parangai jual baliak. Tujuannyo untuak mangurangi wakatu jo usaho nan mambuek urang sagan sato dalam fashion sirkular.
Pangakuan
Tantang A' Design Award Basi
Closet AI Platform Dagang Baliak Jua adolah pamenang A' Design Award Basi, sabuah pangakuan nan bapresti nan dibarikan ka rancangan nan elok nan mamanuhi kaparluan profesional jo industri nan dipaokan dari ciptaan nan dirancang jo elok. Pamenang Basi mamparlihatkan kamahiran nan gadang, spesialisasi nan tinggi, pamahaman pakar jo kapasitas kreatif panciptanyo. Closet AI Platform Dagang Baliak Jua dipaokan manjadi ciptaan nan sangaik dihormati, dikagumi jo disayangi, nan praktis jo inovatif. Rancangan nan manang Basi iko mamasukkan praktik tabaik industri jo punyo ciri teknis nan cakap nan bapautan jo ilimu jo bakaik. Closet AI Platform Dagang Baliak Jua dihormati karano katalitiannyo jo dirancang untuak maningkekkan kualitas hiduik jo mambantu manjadikan dunia tampek nan labiah elok.
Di Baliak Desain
Kit Pers
Kredit, anggota tim jo rincian teknis nan disadioan dek perancang.
- Sifat Unik
- 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.
- Dimensi & Kemasan
- 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
- Teknologi 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.
- Tantangan Desain
- 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.
- Penelitian
- 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.
- Durasi Proyek
- The project began in Dec 2025 in Austin and is currently in advanced prototype development.
- Alua Operasi
- 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 - Kredit 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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