StyleML: Complete the Look

StyleML is an AI-powered recommendation algorithm designed to build coordinated product recommendations that help shoppers complete a look.

Instead of recommending isolated products, StyleML identifies items that stylistically complement the shopper’s current product selection.

For example:

• A dress paired with matching shoes and accessories
• A sofa paired with complementary tables and lighting
• A laptop paired with a backpack, mouse, and headphones

This creates a more cohesive shopping experience and helps shoppers discover products that naturally work well together.

How it works

StyleML analyzes product categories, product attributes, and catalog metadata to identify items that complement the shopper’s current product selection.

The algorithm then generates coordinated recommendations that match the style and context of the main product.

When a shopper views a product, StyleML dynamically assembles recommendations designed to create a complete look or coordinated experience.

Five complementary items are displayed, and all eligible items are cycled for display in the 5 spots.

Apply StyleML to a strategy

1. In Experience OS, go to Assets › Strategies, and create a new strategy.
2. From the algorithm selector, select StyleML.
3. When you're done configuring the strategy, click Save.

Best practices

• Maintain consistent product attribute data across categories
• Include descriptive product titles and descriptions
• Use catalog metadata such as style, color, material, or occasion when possible
• Ensure product categories are properly structured

Example use cases

• Complete the look experiences
• Shop the room experiences
• Coordinated outfit recommendations
• Cross-sell recommendations on product pages
• Style inspiration experiences