Closet AI Trochferkeap-hannelsplatfoarm troch Ruoxuan Pan, Junjie Tang and Huixiang Chen

Closet AI Trochferkeap-hannelsplatfoarm troch Ruoxuan Pan, Junjie Tang and Huixiang Chen is in heech wurdearre winner fan de tige prestizjeuze 2026 A' Design Award yn Izer yn de kompetysje-kategory Mobyle Technologyen, Applikaasjes en Software Ûntwerp.

IzerMobyl· 2026

Closet AI Trochferkeap-hannelsplatfoarm

troch Ruoxuan Pan, Junjie Tang and Huixiang Chen

A' Design Award yn Izer Winner yn de kategory Mobyl

6,336

Ferifiearre Priiswinner

Ferifiearje Prisstatus foar #182338

Besjoch by A' Design Award Parseberjocht Priisbadge

Kleuren

It Untwerp

Oer Closet AI Trochferkeap-hannelsplatfoarm

Closet AI is in mobyl trochferkeapplatfoarm foar twaddehâns klean. Brûkers uploade ôfbyldings fan klean, en de applikaasje generearret kategoryen, beskriuwingen en foarstelde prizen basearre op trochferkeapdata. By ûnderhannelingen makket it systeem konsepten fan antwurdsuggestjes dy't brûkers bewurkje of goedkarre kinne, sadat de einbeslissingen by de ferkeaper bliuwe. In beleanningssysteem folget de foarútgong troch opdrachten, badges en mylpealen. It platfoarm is ûntwikkele op basis fan ûndersyk nei trochferkeapgedrach. It doel is om de tiid en muoite te ferminderjen dy't dielname oan sirkulêre moade ûntmoedigje.

De Erkenning

Oer de A' Design Award yn Izer

Closet AI Trochferkeap-hannelsplatfoarm is in winner fan de A' Design Award yn Izer, in prestisjeuze erkenning foar goede ûntwerpen dy't foldogge oan de profesjonele en yndustriële easken dy't ferwachte wurde fan goed ûntwurpen skeppings. Izerwinners litte grutte feardigens, hege spesjalisaasje, deskundich begryp en kreatyf fermogen fan har makkers sjen. Fan Closet AI Trochferkeap-hannelsplatfoarm wurdt ferwachte dat it in tige heech achte, bewûndere en dierbere skepping is dy't praktysk en ynnovatyf is. Dit winnende ûntwerp fan de A' Design Award yn Izer yntegrearret de bêste praktiken fan de sektor en hat feardige technyske skaaimerken ferbûn mei kennis en talint. Closet AI Trochferkeap-hannelsplatfoarm wurdt respektearre foar syn yngeandens en is ûntwurpen om ferbetteringen fan de kwaliteit fan it libben te leverjen dy't helpe de wrâld ta in bettere plak te meitsjen.

Efter it Untwerp

Parsepakket

Credits, teamleden en technyske details levere troch de ûntwerper.

Unike Eigenskippen: 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.
Ofmjittingen & Ferpakking: 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.
Labels: 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
Produksjetechnology: 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.
Untwerpútdaging: 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.
Undersyk: 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.
Ynspiraasje: 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.
Projektdoer: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Operaasjestreamferrin: 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.
Teamleden: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Ofbyldingskrediten: 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