User shares style preferences
The experience begins with a simple quiz or onboarding form where users share their fashion goals, body type, color preferences, and favorite styles.
AI analyzes fashion data and user input
The AI stylist bot matches user inputs with fashion trends, product catalogs, seasonal looks, and historical buying behavior to build a style profile.
Personalized fashion recommendations are delivered
Users receive curated outfit suggestions, product pairings, and styling tips. Recommendations appear across product pages, home feeds, and chat interfaces.
Styling sessions adapt in real time
The virtual fashion stylist evolves with each user action. It improves recommendations based on browsing, purchase history, and real-time behavior.
Users build trust and keep coming back
Over time, your AI fashion assistant becomes a trusted personal stylist. This leads to more repeat visits, higher engagement, and increased order value.