This is a self-initiated design case study project based on the JD.com platform. It addresses a critical user pain point: the challenge of selecting clothing that aligns with their body type, usage scenarios, and styling preferences due to the overwhelming variety of stores and clothing options available. This pain point highlights the limitations of the platform’s existing capabilities in catering to personalized needs.

To overcome this, the solution leverages the strengths of an AI-powered chatbot—its ability to deliver personalized recommendations at scale. By integrating a chat interface, the AI interacts with users to gather individual attributes (e.g., body shape, height, weight, and skin tone) and uses this data to provide tailored clothing suggestions along with styling recommendations. This feature complements the platform’s existing functions. Entry points for the chatbot are strategically placed at key touchpoints throughout the shopping journey, with context-aware messages tailored to the user’s current stage.