ຜົນງານ Closet AI ແພລດຟອມການຄ້າຂາຍຄືນ ໂດຍ Ruoxuan Pan, Junjie Tang and Huixiang Chen ເປັນຜູ້ຊະນະທີ່ໄດ້ຮັບຄວາມນັບຖືສູງຂອງລາງວັນ 2026 A' Design Award ລະດັບເຫຼັກ ອັນຊົງກຽດໃນໝວດການແຂ່ງຂັນ ການອອກແບບເທັກໂນໂລຊີມືຖື, ແອັບພລິເຄຊັ່ນ ແລະ ຊອບແວ.
ເຫຼັກມືຖື· 2026
Closet AI ແພລດຟອມການຄ້າຂາຍຄືນ
ໂດຍ Ruoxuan Pan, Junjie Tang and Huixiang Chen
ຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ໃນໝວດ ມືຖື
ຜູ້ຊະນະລາງວັນທີ່ຢັ້ງຢືນແລ້ວ
ຢັ້ງຢືນສະຖານະລາງວັນສຳລັບ #182338ການອອກແບບ
ກ່ຽວກັບ Closet AI ແພລດຟອມການຄ້າຂາຍຄືນ
Closet AI ແມ່ນແພລດຟອມການຂາຍຄືນເທິງມືຖືສຳລັບເສື້ອຜ້າມືສອງ. ຜູ້ໃຊ້ອັບໂຫລດຮູບພາບເສື້ອຜ້າ ແລະແອັບພລິເຄຊັນຈະສ້າງໝວດໝູ່, ຄຳອະທິບາຍ ແລະລາຄາແນະນຳໂດຍອີງໃສ່ຂໍ້ມູນການຂາຍຄືນ. ໃນລະຫວ່າງການເຈລະຈາຕໍ່ລອງ, ລະບົບຈະຮ່າງຄຳແນະນຳການຕອບກັບທີ່ຜູ້ໃຊ້ສາມາດແກ້ໄຂ ຫຼືອະນຸມັດໄດ້ ດັ່ງນັ້ນການຕັດສິນໃຈສຸດທ້າຍຍັງຄົງຢູ່ກັບຜູ້ຂາຍ. ລະບົບລາງວັນຕິດຕາມຄວາມຄືບໜ້າຜ່ານພາລະກິດ, ກາໝາຍ ແລະຈຸດໝາຍສຳຄັນ. ແພລດຟອມນີ້ຖືກພັດທະນາຜ່ານການຄົ້ນຄວ້າກ່ຽວກັບພຶດຕິກຳການຂາຍຄືນ. ເປົ້າໝາຍແມ່ນເພື່ອຫຼຸດຜ່ອນເວລາ ແລະຄວາມພະຍາຍາມທີ່ເຮັດໃຫ້ຄົນທໍ້ຖອຍຈາກການເຂົ້າຮ່ວມໃນແຟຊັນໝູນວຽນ.
ການຮັບຮູ້
ກ່ຽວກັບ A' Design Award ລະດັບເຫຼັກ
Closet AI ແພລດຟອມການຄ້າຂາຍຄືນ ແມ່ນຜູ້ຊະນະ A' Design Award ລະດັບເຫຼັກ ເຊິ່ງເປັນການຍອມຮັບທີ່ມີກຽດສຳລັບການອອກແບບທີ່ດີ ທີ່ຕອບສະໜອງຄວາມຕ້ອງການທາງວິຊາຊີບ ແລະ ອຸດສາຫະກຳທີ່ຄາດຫວັງຈາກຜົນງານທີ່ອອກແບບມາຢ່າງດີ. ຜູ້ຊະນະລະດັບເຫຼັກສະແດງເຖິງທັກສະອັນຍິ່ງໃຫຍ່ ຄວາມຊຳນານສະເພາະສູງ ຄວາມເຂົ້າໃຈຂອງຜູ້ຊ່ຽວຊານ ແລະ ຄວາມສາມາດໃນການສ້າງສັນຂອງຜູ້ສ້າງ. Closet AI ແພລດຟອມການຄ້າຂາຍຄືນ ຖືກຄາດວ່າຈະເປັນຜົນງານທີ່ໄດ້ຮັບການຍົກຍ້ອງສູງ ໜ້າຊົມເຊີຍ ແລະ ເປັນທີ່ຮັກແພງ ທີ່ໃຊ້ງານໄດ້ຈິງ ແລະ ມີນະວັດຕະກຳ. ການອອກແບບທີ່ຊະນະລະດັບເຫຼັກນີ້ລວມວິທີປະຕິບັດທີ່ດີທີ່ສຸດຂອງອຸດສາຫະກຳ ແລະ ມີຄຸນລັກສະນະທາງເຕັກນິກທີ່ມີຄວາມສາມາດ ເຊື່ອມໂຍງກັບຄວາມຮູ້ ແລະ ພອນສະຫວັນ. Closet AI ແພລດຟອມການຄ້າຂາຍຄືນ ໄດ້ຮັບການເຄົາລົບສຳລັບຄວາມລະອຽດຮອບຄອບ ແລະ ຖືກອອກແບບເພື່ອປັບປຸງຄຸນນະພາບຊີວິດ ຊ່ວຍເຮັດໃຫ້ໂລກເປັນບ່ອນທີ່ດີຂຶ້ນ.
ເບື້ອງຫຼັງການອອກແບບ
ຊຸດຂ່າວ
ຂໍ້ມູນ, ສະມາຊິກທີມ ແລະ ລາຍລະອຽດທາງເຕັກນິກທີ່ສະໜອງໂດຍນັກອອກແບບ.
- ຄຸນສົມບັດພິເສດ
- 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.
- ຂະໜາດ ແລະ ບັນຈຸພັນ
- 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.
- ແທັກ
- 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
- ເຕັກໂນໂລຊີການຜະລິດ
- 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.
- ສິ່ງທ້າທາຍດ້ານການອອກແບບ
- 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.
- ການຄົ້ນຄວ້າ
- 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.
- ແຮງບັນດານໃຈ
- 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.
- ໄລຍະເວລາໂຄງການ
- The project began in Dec 2025 in Austin and is currently in advanced prototype development.
- ຂັ້ນຕອນການດຳເນີນງານ
- 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.
- ສະມາຊິກທີມ
- Ruoxuan Pan
Junjie Tang
Huixiang Chen - ເຄຣດິດຮູບພາບ
- 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
ໂຄສະນາ
ສຳຫຼວດນອກເໜືອຈາກ Designers.org
ຄົ້ນພົບຜະລິດຕະພັນ, ບໍລິການ ແລະ ໂອກາດຈາກຄູ່ຮ່ວມໂຄສະນາຂອງພວກເຮົາ.
ສຳຫຼວດເພີ່ມເຕີມ
ການອອກແບບທີ່ກ່ຽວຂ້ອງ
ສຳຫຼວດການອອກແບບທີ່ໄດ້ຮັບລາງວັນເພີ່ມເຕີມຈາກໝວດໝູ່ດຽວກັນ, ຄັດເລືອກຕາມຄຸນນະພາບ.
