The startup has developed a mobile application that utilizes machine learning algorithms to automatically estimate the resale value of clothing items and list them across multiple e-commerce platforms. By managing the entire sales process, including shipping, the application helps users reduce their carbon footprint associated with clothing disposal and resale.
Funding
$760K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Selling used clothing online is often a time-consuming process, requiring users to photograph, describe, price, and list items across multiple platforms. Individual sellers may also struggle to achieve optimal pricing and visibility, resulting in lower sales rates and profits.
Solution
Mai provides a mobile application that simplifies the resale of clothing by automating key steps in the selling process. Users upload a photo of their item, and Mai's AI algorithms enhance the image, suggest a data-driven price, and create a listing. The application then distributes the listing across multiple online marketplaces to maximize visibility and sales potential. Once an item sells, Mai provides a pre-addressed shipping bag and facilitates payment to the seller.
Target Audience
The primary target audience is individuals looking for a convenient and efficient way to sell used clothing online, particularly those with mid-range to high-end brands.
Features
- AI-powered image enhancement and automatic listing generation
- Dynamic pricing recommendations based on real-time market data and item attributes
- Multi-platform listing distribution across marketplaces such as Tradera, Vestiaire Collective, and Plick
- Automated shipping process with pre-paid bags and QR-code labels
- Integrated payment system with direct transfers to the seller via Swish
- Seller dashboard to track listings, sales, and earnings
- Handles customer service and price negotiations on behalf of the seller