SwapIT
Mobile app
SwapIT is a second-hand trading app that uses an integrated artificial intelligence system to rate users' items and award points accordingly. Users can redeem these points for second-hand clothes from other users or accumulate points to convert them into money. This system increases people's willingness to upload their own second-hand clothes and boosts the frequency of transactions.
Problem Statement
The issue of clothing waste and the uncertainty about how to properly dispose of unwanted garments remains a significant concern.
What can be done to address this problem?
Peoples
The target audience for SwapIT includes environmentally conscious individuals aged 18-35 who are fashion-forward and tech-savvy. These users value sustainability and are keen on reducing waste by purchasing second-hand clothing.
Pain Point
Most people have too many clothes in their closets that they rarely wear, but these clothes usually end up being thrown away or donated. Even if they’re taken to a second-hand store, they don’t generate much profit.
How might we?
We have created a platform allowing users to upload and exchange their clothes. Users can also choose to sell items through platform tokens, enabling them to acquire different outfits without spending extra money.
Problem Solution
SwapIT is designed to replacing the traditional method of second-hand clothing trading with an innovative app and website shopping model. This concept will leverage AI technology to streamline and enhance the online shopping experience. By integrating AI, we can offer personalized recommendations, optimize search results, and improve overall user satisfaction. Our goal is to create a more efficient and enjoyable process for finding and purchasing second-hand clothing.
Our platform will also focus on sustainability and promoting the environmental benefits of buying second-hand. By highlighting the positive impact on reducing waste and promoting eco-friendly fashion choices, we hope to attract a broader audience who values sustainability.
AI Synthesize
Blend the product with the user’s photo to give them an accurate depiction of how it looks when worn.
Clothing Swap
Exchange items with other users through the “Swap” feature, in addition to general trading.
Technologies
AI Chat system
Platforms/ Dialogflow, Amazon Lex, LivePerson
These platforms offer a variety of tools and services to help developers integrate AI chatbot functionality into applications, enhancing user experience and interactivity.
AR system
Tool/ Kivisense
The Artificial Intelligence-powered AR Trial Engine revolutionizes the way customers interact with products. With instant motion response and ultra-accurate AR tracking, users can experience seamless, real-time virtual try-on like never before. The system uses advanced AI deep learning algorithms to provide real-time body and facial expression tracking to create an immersive, personalized experience. Enhance your customer experience with a “see-and-buy” experience that bridges the gap between the virtual and the real, making shopping more intuitive and engaging.
AI Synthetic
Tools/ VTO
VTO uses AI and computer vision technology to match customers' photos or body scans with virtual clothing, providing real-time try-on previews.
