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How Our AI Works

Intent Mapping Process​

  1. Product Navigation: Tracks products users have navigated during the session
  2. Category Elements: Analyzes visual elements like silhouettes, patterns, and styling details
  3. Pattern Insights: Identifies textures, fabrics, and structural elements
  4. Styling Intent: Understands occasion, style preferences, and versatility needs
  5. User Behavior: Cross-references searches, products, and past purchases for logged-in users
  6. Intent Prediction: Relates products from different categories based on style mapping

Example: Dress Navigation Analysis​

When a user navigates dresses, our AI identifies:

Category Elements:

  • V-neck silhouette
  • Spaghetti straps
  • Defined waistline
  • A-line or flared skirt

Pattern Insights:

  • Vertical pleating
  • Botanical or minimalist textures
  • Lightweight, airy fabrics
  • Subtle structured tailoring

Styling Intent:

  • Feminine yet contemporary
  • Suggests confidence, delicacy, and movement
  • Day-to-night versatility
  • Ideal for spring/summer social occasions