Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes by Jung Joo Sohn

Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes by Jung Joo Sohn is a highly esteemed winner of the very prestigious 2024 A' Design Award Nyiaj in Tsim Thev Naus Laus Zis Xov Tooj, Apps thiab Software Competition Category.

NyiajXov Tooj· 2024

Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes

by Jung Joo Sohn

Client: Purdue University

A' Design Award Nyiaj Winner in Xov Tooj Category

52,889

Verified Award Winner

Verify Award Status for #157028

View at A' Design Award Press Release Award Badge

Colors

The Design

About Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes

Lub fetch qhov kev pab cuam muab ib qho chaw uas yooj yim siv rau kev yuav, muag, thiab tswj cov warranty ntawm cov khoom siv qub. Daws cov teeb meem hauv cov khw muag khoom uas twb muaj lawm xws li kev tau txais khoom, kev sib tham txog nqi, thiab kev ruaj ntseg, nws muab ib qho kev daws teeb meem tag nrho. Txoj kev tshiab muaj xws li cov duab tsim los ntawm AI uas ua haujlwm ua ob yam: ib lub platform uas zoo nkauj saib thiab ib daim ntawv teev khoom lag luam, pab cov neeg siv txiav txim siab. Kev sib koom ua ke zoo ntawm cov tshuab ua kom yooj yim rau kev teev npe khoom thiab hloov cov ntaub ntawv warranty, ua kom cov neeg siv tau txais kev pabcuam zoo dua.

The Recognition

About the A' Design Award Nyiaj

Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes yog tus yeej ntawm A' Design Award Nyiaj, ib qho kev lees paub muaj meej mom heev tshaj li qub uas muab rau cov qauv tsim qib siab, zoo nkauj thiab ua rau neeg xav tsis thoob. Cov neeg yeej Nyiaj yog cov haujlwm ci ntsa iab heev thiab tsim tshiab heev uas qhia txog kev paub, kev txawj ntse thiab kev ntse ntawm cov kws tsim qauv. Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes xav tias yuav yog ib qho haujlwm zoo kawg nkaus uas tsim rau qhia, tshaj lij heev thiab tsim tshiab tob. Cov qauv tsim yeej A' Design Award Nyiaj no yog ib qho khoom tsim uas pom tseeb heev thiab neeg qhuas uas pab tau thiab nthuav dav ciam teb ntawm kev kos duab, kev tshawb fawb, kev tsim qauv thiab thev naus laus zis. Fetch Daim Ntawv Thov Xov Tooj Ntawm Tes yog ib qho khoom tsim uas neeg coob xav tau, uas ua rau xav, coj kev xav zoo thiab ua rau xav tsis thoob thiab xav paub.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: The 'fetch' service offers a holistic solution for buying, selling, trading, and managing products in a user-centric platform. As a second-hand marketplace app, it uses AI-generated imagery and a user-friendly warranty system to suggest products based on listed items, enhancing user confidence and convenience in second-hand shopping while promoting sustainable choices.
Dimensions & Packaging: The project's design revolves around optimizing the user experience within mobile applications, potentially expanding to desktop applications and web browsers in the future. The mobile version was designed with iOS.
Tags: Generative AI, Product Warranty Management, Used Product Market, Smart Recommendation
Production Technology: The design software used was Adobe XD, Adobe After Effects, and other prototype developing tools.
Design Challenge: The initial challenge was focused on creating suitable recommendations for users during their shopping needs. Additionally, the team aimed to comprehend the shopping behaviors of individuals through various research methods. Another significant hurdle was the development of a platform that enabled users to efficiently manage their items and find desired products in proximity. The 'fetch' team tackled these challenges by implementing AI-generated tools, a smart warranty system, and a trading platform.
Research: In a world characterized by rapid technological advancements and an ever-growing consumer product market, the need for innovative solutions to enhance sustainability, affordability, and user experience is paramount.The core idea of this project is to seamlessly integrate three crucial aspects of consumer products ownership: sustainable e-commerce platform for second handed products, AI-driven personalized recommendation, and efficient product management. The goals of the project is to reimagine the way users explore, purchase, and exchange used products while promoting sustainability and affordability through an AI-driven e-commerce marketplace. The project compiles secondary research, primary research, development, and usability testing with prototypes.
Research was conducted to gain a comprehensive understanding of consumer behavior, attitudes towards purchasing pre-owned products, and their perspective on sustainability and environmental consciousness. This research involved a multi-faceted approach, including market analysis, surveys(50+ Participants), interviews(20+), and user feedback from prototype testing(20+). Market analysis focused on studying existing e-commerce platforms, identifying gaps and opportunities for improvement. Surveys were disseminated to a diverse sample of potential users, probing their willingness to buy or sell second-hand items, their motivations for sustainable consumer practices, and their feedback on AI generated images. In-depth interviews were conducted to gain qualitative insights into their preferences, pain points, and expectations from an ideal platform. The user feedback from prototype testing further enriched the understanding of the platform's user experience and allowed detailed fine-tuning its features and functionalities.
The research results prompted the e-commerce platform called Fetch, which utilizes the form of mobile applications to provide a comprehensive suite of features that make sustainable and responsible consumer practices accessible at the user’s fingertips.
Inspiration: The app provides a user-friendly experience for buying, selling, and managing warranties of second-hand products. Our survey identified issues in product acquisition, price negotiations, quality control, and personal safety in existing marketplaces. Managing warranties is often neglected due to difficulties in finding information, resulting in underutilized benefits and missed cost savings.
Project Duration: The project started in October 2019 in West Lafayette, Indiana and was initially completed the 1st phase develop in Nov. 2023.
Operation Flow: This mobile application stands out through its innovative approach to product visualization and warranty management in the second-hand marketplace sector. The AI-generated images not only serve as a visually intriguing platform but also act as a functional catalog of products that aids the user’s decision process. The two systems work seamlessly together, allowing users to easily list their products for sale in the marketplace with all necessary information located by the warranty management system. Transferring warranty information during the sale is as easy as a tap of a button, where all information will be relocated to the buyer.
Patents: Jung Joo Sohn
Image Credits: Jung Joo Sohn and Youri Chung, 2023