Complete the Look is a PDP module that recommends styled, complementary items, turning single-item interest into full-outfit purchases.
Styled suggestions reduce hesitation and boost shopper confidence at the decision point.
Stylitics uses AI to deliver personalized outfits that adapt to trends and real-time inventory.
Retailers see higher AOV, better conversion, and stronger loyalty, without extra manual work.
Customer acquisition costs are rising. Getting visitors to your ecommerce site requires significant marketing spend—whether through influencers, paid social, shopping ads, or any combination of channels. But if those visitors leave after buying only one item, your return on ad spend (ROAS) suffers.
Complete the Look recommendations help retailers increase the value of every session. By encouraging shoppers to add complementary items—either during the same session or through remarketing—these AI-powered tools extend the value of every marketing dollar by turning browsers into multi-item buyers.
In a crowded fashion ecommerce landscape, Complete the Look recommendations don’t just show products—they spark inspiration and create moments of discovery by helping shoppers see how items fit together, building confidence, and driving bigger baskets.
What Are “Complete the Look” Recommendations?
Imagine browsing a black bodysuit on a product page. Below the photos, a curated selection of complementary pieces appears: wide-leg denim pants, a slim black belt, a black baseball cap, and a pair of black heeled sandals.
Each item is clickable and can be added directly to the cart.
These recommendations go beyond basic related products. They use AI-powered styling algorithms to combine on-brand pieces that complement the bodysuit’s clean, modern look.
The suggestions consider product compatibility, shopper preferences, and real-time inventory.
Machine learning and visual AI work together to create a cohesive outfit that matches the shopper’s style and current trends.
Why Complete the Look Works
Helping Shoppers Visualize and Decide
A shopper finds a lightweight trench coat they love but pauses. They worry—will this jacket really go with the rest of their wardrobe? What pants or shoes should they wear? What accessories could they wear it with?
The Complete the Look section shows a white blouse, ankle boots, and a structured tote. Suddenly, the shopper sees a full outfit come together—something they can imagine wearing to work or weekend brunch.
This removes uncertainty. The personalized recommendations feel like a personalized stylist, helping the shopper feel confident in their choice.
With the outfit clearly styled, hesitation fades. The shopper moves forward with their purchase.
Increasing Basket Size Naturally
Consider a shopper viewing a pair of running shoes. Below the product, three fully styled outfits. Each outfit combines the shoes with carefully chosen apparel and accessories:
Polished Look: Patterned pants, white tee, geometric earrings, neutral socks—a polished yet relaxed style for city strolls.
Active Look: Black shorts, racerback tank, matching socks, gold hoops—perfect for a workout or athleisure look.
Each item is labeled with its product name and price. Shoppers can explore the entire look or add individual pieces to their cart with ease, driving multi-item orders and building style confidence.
Building Trust and Brand Credibility
When visitors see well-styled outfits curated by an expert styling team and powered by AI, they feel like they’re getting personal guidance. That sense of support builds trust in the brand and encourages repeat visits.
Stylitics Technology Behind the Scenes
Stylitics combines deep learning, visual AI, and recommendation algorithms to generate outfit suggestions at scale. By analyzing product images, editorial content, and shopper behavior, the platform builds dynamic style embeddings that fuel highly relevant recommendations.
Its inventory-aware logic ensures every item shown is in stock—automatically swapping products as availability changes. Complete the Look content is personalized across the entire shopper journey, from product pages to cart, email, and post-purchase. This real-time integration delivers consistent, high-quality styling that drives conversion and increases customer lifetime value.
Real Retail Examples
Online retailers offer “Top Trending Outfits” on product pages that blend footwear with coordinating apparel and accessories. These recommendation widgets drive high click-through rates and increase units per transaction.
Another ecommerce site features “Shop the Model” styled looks beside footwear. Fresh, visual recommendations result in a bundle click rate nearly three times higher and increase apparel attachment rates significantly.
Some brands provide a “How to Wear It” section showcasing multiple outfit options for the same product, turning browsing into multi-item carts.
Other stores integrate AI-powered outfit carousels reflecting current trends and shopper data, making product discovery intuitive and relevant.
Beyond the Product Page
Stylitics powers outfit recommendations across the full shopper journey:
Cart & Checkout: Outfit suggestions that complement cart items
Post-Purchase: “Style It Again” looks via email or reordering flows
Loyalty Programs: Personalized outfit ideas for returning shoppers
This cross-channel personalization builds a consistent customer experience, increases engagement, and raises customer lifetime value.
Styling Made Simple and Fast
Stylitics uses no-code deployment so retailers can launch and update Complete the Look modules quickly, without relying on IT teams.
This fast rollout helps brands respond promptly to trends and inventory shifts.
Automation cuts down manual work by producing quality outfit recommendations at scale, letting teams focus on higher-level merchandising strategy.
Key Benefits for Retailers
Higher average order value and units per transaction through multi-item purchases
Consistent personalization across web, email, and social channels, increasing shopper loyalty
Final Thought
Complete the Look recommendations combine AI styling, visual search, and real-time user data to create relevant, personalized product recommendations. This approach drives product discovery, increases order values, and improves the overall customer experience.
Retailers that adopt these outfit recommendation strategies make shopping easier, more inspiring, and more profitable. When shoppers feel seen and styled, they don’t just convert—they come back.
