Intro
We redesigned BudsAlike, an AI-powered restaurant recommendation app, transforming the user experience through data-driven design iterations that enhanced personalization algorithms and improved user conversion rates by creating intuitive food discovery journeys.
Summary
This project involved multiple design iterations to optimize an AI recommendation system that matched users with restaurants based on similar user behavior patterns and preferences. The solution required extensive collaboration with data scientists to translate complex machine learning insights into user-friendly interfaces, while conducting A/B testing and analytics reviews to refine product features. Through systematic UX research and iterative design processes across multiple app versions, we developed a comprehensive visual system and interaction design that simplified the restaurant discovery process, ultimately creating a seamless experience that helped users build personalized food journeys while leveraging AI-driven matching scores for more accurate recommendations.
