Product Design | AI integration
May 2023
Online shoppers often struggle to visualize how clothing will look on them, leading to a lack of connection with the product. This disconnect results in high return-to-origin (RTO) rates, with users frequently returning most or all items from their orders.
To create a feature that enhances the online shopping experience by showing users how outfits would look on them, improving confidence, reducing return rates, and increasing app engagement by encouraging users to return frequently and spend more time exploring.
Style Snap, an innovative feature designed to personalize and gamify the shopping experience:
Understanding the pain points:
- Conducted research to identify the core challenges of online clothing purchases, including the lack of visualization and high RTO rates.
- Key insights: Users want a more personalized and engaging shopping journey.
UI-Level Prototyping:
- Focused on designing intuitive workflows for image uploads, feed customization, and product exploration.
- Created high-fidelity prototypes to test and refine the feed layout, interaction design, and overall experience.
Collaborative Development:
- Worked closely with developers to map out workflows and identify technical feasibility for integrating AI-powered feed generation and product links.
- Collaborated on defining user interaction flows and ensuring alignment between design goals and development constraints.
StyleSnap demonstrated the importance of merging personalization with engagement to create a memorable shopping experience. It reinforced the value of designing features that solve practical problems while delighting users.