Closet AI Platform Dagang Barang Bekas dening Ruoxuan Pan, Junjie Tang and Huixiang Chen

Karya Closet AI Platform Dagang Barang Bekas dening Ruoxuan Pan, Junjie Tang and Huixiang Chen minangka pemenang sing diajeni banget saka A' Design Award Wesi 2026 sing bergengsi ing Kategori Kompetisi Desain Teknologi Seluler, Aplikasi lan Piranti Alus.

WesiSeluler· 2026

Closet AI Platform Dagang Barang Bekas

dening Ruoxuan Pan, Junjie Tang and Huixiang Chen

Pemenang A' Design Award Wesi ing Kategori Seluler

5,797

Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan kanggo #182338

Deleng ing A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desaine

Babagan Closet AI Platform Dagang Barang Bekas

Closet AI iku platform seluler kanggo adol maneh sandhangan bekas. Panganggo ngunggah gambar sandhangan, banjur aplikasi kasebut nggawe kategori, deskripsi, lan rega sing disaranake adhedhasar data adol maneh. Nalika proses rembugan, sistem iki nyusun saran wangsulan sing bisa diowahi utawa disetujoni dening panganggo, saengga keputusan pungkasan tetep ana ing tangane sing adol. Sistem ganjaran nglacak kemajuan liwat misi, lencana, lan tonggak prestasi. Platform iki dikembangake liwat riset babagan prilaku adol maneh. Tujuane yaiku nyuda wektu lan tenaga sing nggawe wong wegah melu ing fesyen sirkular.

Pangakuan

Babagan A' Design Award Wesi

Closet AI Platform Dagang Barang Bekas menang A' Design Award Wesi, pangenalan sing prestisius sing diparingake marang desain sing apik sing nyukupi kabutuhan profesional lan industri sing dikarepake saka ciptaan sing dirancang kanthi apik. Pemenang Wesi nuduhake katrampilan sing gedhe, spesialisasi sing dhuwur, pangerten ahli lan kapasitas kreatif para penciptane. Closet AI Platform Dagang Barang Bekas dikarepake dadi ciptaan sing dihargai banget, dikagumi lan ditresnani sing praktis lan inovatif. Desain sing menang A' Design Award Wesi iki nggabungake praktik industri sing paling apik lan nduweni ciri teknis sing kompeten sing disambung karo kawruh lan bakat. Closet AI Platform Dagang Barang Bekas diajeni amarga ketelitiane lan dirancang kanggo nyedhiyakake paningkatan kualitas urip sing mbiyantu ndadekake donya panggonan sing luwih apik.

Ing Mburi Desain

Kit Pers

Kredit, anggota tim lan detail teknis sing diwenehake dening desainer.

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.
Ukuran & 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.
Riset: 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.
Alur 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