Closet AI Platforma za nadaljnjo prodajo – avtor Ruoxuan Pan, Junjie Tang and Huixiang Chen

Delo Closet AI Platforma za nadaljnjo prodajo avtorja Ruoxuan Pan, Junjie Tang and Huixiang Chen je izjemno cenjeni dobitnik prestižne nagrade 2026 Železna nagrada A' Design Award v tekmovalni kategoriji Oblikovanje mobilnih tehnologij, aplikacij in programske opreme.

ŽeleznaMobilno· 2026

Closet AI Platforma za nadaljnjo prodajo

avtor/ica: Ruoxuan Pan, Junjie Tang and Huixiang Chen

Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Mobilno

6,336

Potrjeni dobitnik nagrade

Preverite status nagrade za #182338

Ogled na A' Design Award Sporočilo za javnost Značka nagrade

Barve

Dizajn

O dizajnu Closet AI Platforma za nadaljnjo prodajo

Closet AI je mobilna platforma za nadaljnjo prodajo rabljenih oblačil. Uporabniki naložijo fotografije oblačil, aplikacija pa na podlagi podatkov o nadaljnji prodaji ustvari kategorije, opise in predlagane cene. Med pogajanji sistem pripravi predloge odgovorov, ki jih uporabniki lahko uredijo ali potrdijo, tako da končne odločitve ostanejo v rokah prodajalca. Sistem nagrajevanja spremlja napredek prek nalog, značk in mejnikov. Platforma je bila razvita na podlagi raziskav vedenja pri nadaljnji prodaji. Cilj je zmanjšati čas in trud, ki odvračata od sodelovanja v krožni modi.

Priznanje

O nagradi Železna nagrada A' Design Award

Closet AI Platforma za nadaljnjo prodajo je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Closet AI Platforma za nadaljnjo prodajo se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Closet AI Platforma za nadaljnjo prodajo zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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.
Dimenzije in embalaža: 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.
Oznake: 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
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Inspiracija: 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.
Trajanje projekta: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Potek delovanja: 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.
Člani ekipe: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Zasluge za slike: 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