Overview
Personalized Outfit Recommendations automatically generate complete outfit suggestions using enriched product attributes and machine learning. These recommendations highlight items that work well together, based on a shopper’s style and intent, helping to answer common questions like “How can I pair this?” or “How many ways can I wear this?”
Typically displayed on the product detail page, the feature suggests garments, shoes, and accessories that complement the viewed item, organized by themes such as evening, casual, or business. Suggestions can also appear on basket pages or post-purchase pages.
.png)
Personalized outfit recommendations showing complementary garments, shoes, and accessories.
Benefits
Attribute-Based Styling: Outfits are generated using enriched product attributes for accurate, style-aware combinations.
Higher Basket Value: Shoppers are more likely to add additional items when seeing complete looks.
Faster Decision-Making: Shoppers receive instant styling inspiration and learn how to wear an item effectively.
Flexible Implementation: Works through either a ready-to-use widget or a customizable API integration.
Consistent Brand Experience: The layout can be customized to match the website’s design.
Integration
Setup by Mapp
Mapp defines the styling rules used to generate outfits for the brand. These rules guide how product types are paired (e.g., which shoes match a dress silhouette) and which outfit templates (such as Evening or Casual) apply to the styling strategy.
Integration Options
Developers can choose between two main approaches:
Widget Integration
A ready-to-use widget can be embedded on product detail pages for fast setup and minimal coding. It supports customization of layout, styling, and placement for fast deployment with minimal setup. For more information, see Mapp Fashion-hosted Widgets.
API Integration
Use the Mapp Fashion API to fetch personalized recommendations and render them in a custom UI.
For a complete integration guide, please visit our developer documentation.