Mix and Match

An interactive outfitting experience that lets shoppers swap items within an outfit.

Let Shoppers Build the Look Themselves

As items are replaced, the outfit updates instantly—encouraging exploration, increasing engagement, and turning inspiration into confident, multi-item purchases.

Increase Product Versatility

Mix and Match helps retailers showcase how a single product works across multiple occasions and looks. By letting shoppers experiment with alternatives, each item feels more flexible, wearable, and valuable.

• Multiple Styling Options

  Show shoppers different ways to style the same product across use cases and aesthetics.

• Real-Time Outfit Updates

  As shoppers swap items, the full look refreshes instantly.

• Encourage Exploration

  Interactive swapping increases time on site and product discovery.

• PDP-Optimized Experience

  Mix and Match is most effective directly on Product Detail Pages.

Shopper-Led Customization

When shoppers customize an outfit themselves, they feel more confident completing the purchase. Mix and Match turns passive browsing into an active styling experience.

• Build Confidence at the Decision Point

  Shoppers feel reassured when they assemble a look that fits their personal style.

• Interactive Engagement

  Tap-to-swap and carousel-based alternatives encourage deeper browsing.

• Fewer Styling Questions

  Visual experimentation answers "Will this work?" without leaving the PDP.

• Higher Conversion Impact

  Retailers see stronger conversion when shoppers engage with Mix and Match.

Flexible Experience Types

Mix and Match includes multiple layouts optimized for different devices and merchandising needs, with more UI variations planned.

• Default Mix & Match

  A standard slideout with original items, item details, and swap options.

• Row Mix & Match

  A horizontal layout with a compact carousel of alternatives.

• Collage Modal

  A mobile-optimized collage experience with tap-to-swap interactions.

• Remix

  One-tap refresh that replaces all non-anchor items while keeping the primary product fixed.

AI Styling Engine

Mix and Match recommendations are generated by Stylitics’ AI styling engine, ensuring every replacement item fits the look, the brand, and current inventory availability.

• Style Similarity

  Replacements are chosen based on aesthetics, color, silhouette, and pattern.

• Category Matching

  Only appropriate alternatives appear for each outfit slot.

• Brand & Merchandising Preferences

  Optional prioritization based on retailer-defined rules.

• Inventory-Aware Logic

  Out-of-stock items are automatically excluded.

Shoppers Insights with Inspirational Commerce

130M+

Shopper Sessions Analyzed Daily

200M+

Shoppers Interacting With Stylitics Products Every Month

70B+

eCommerce Events Tracked To-Date

Trusted by the world's leading retailers and brands

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Discover how Stylitics helps retailers inspire shoppers, increase basket size, and unlock the full value of their assortments.