DESIGNATHON 2024 - RIGHT SIZE

Inspiration

The inspiration for 'RIGHT SIZE' came from the growing issue of fashion returns due to incorrect sizing, which results in increased carbon emissions and waste. We wanted to create a solution that not only helps consumers but also supports a sustainable shopping experience.

What it does

RIGHT SIZE is a tool that helps users find the perfect clothing fit by leveraging body measurement data and predictive AI to recommend sizes for various brands. It reduces the number of returns and enhances customer satisfaction.

How we built it

We built RIGHT SIZE using a combination of Figma for prototyping, UI design, and machine learning algorithms for size prediction. The platform integrates with major e-commerce sites via APIs to offer real-time recommendations.

Challenges we ran into

One of the biggest challenges was ensuring the accuracy of the size predictions across different brands, as sizing charts vary significantly. We tackled this by developing a machine-learning model that continuously learns from user feedback to improve its recommendations.

Accomplishments that we're proud of

We are proud of successfully integrating a feedback loop into our AI model that adapts to user preferences, increasing its accuracy over time. Additionally, we implemented a sleek, user-friendly interface that enhances the shopping experience.

What we learned

Throughout this process, we learned the importance of user testing in refining both the interface and algorithm. We also gained deeper insights into the challenges of standardizing clothing sizes across different regions and brands

What's next for DESIGNATHON 2024 - RIGHT SIZE

In the future, we aim to integrate more e-commerce platforms and expand the tool to support international clothing brands. We’re also exploring the use of augmented reality (AR) to let users virtually 'try on' clothes before making a purchase.

Built With

• figjam
• figma