AI Stylist: How We Built Personalized Fashion Recommendations

Fashion is deeply personal, yet most e-commerce experiences treat all shoppers the same. Our AI Stylist changes that by providing personalized outfit recommendations based on each user's unique characteristics and preferences.

The AI Stylist analyzes multiple factors to create personalized recommendations:

• Body Analysis: Understanding body type, proportions, and fit preferences

• Style Profiling: Learning from user interactions and explicit preferences

• Occasion Matching: Recommending appropriate outfits for specific events

• Color Harmony: Suggesting colors that complement skin tone and hair color

Our system goes beyond simple recommendations:

• Complete Outfit Building: Creates coordinated looks, not just individual items

• Seasonal Awareness: Adjusts recommendations based on weather and trends

• Budget Sensitivity: Respects price preferences while maximizing style impact

• Brand Affinity: Learns which brands resonate with each user

The AI Stylist can be integrated into your platform in multiple ways:

• REST API for custom implementations

• Pre-built widgets for quick deployment

• Shopify app with one-click installation

• White-label solutions for enterprise clients

Retailers using our AI Stylist have seen remarkable results:

• +45% average order value when AI recommendations are accepted

• -30% return rate due to better style matching

• +60% engagement time on product pages with AI styling