Complete the Look: Leveraging AI to Curate Perfect Outfits for Fashion eCommerce 

Everyone has a style. But not everyone is a stylist. Picture this: A shopper spots a pair of beautiful cream-colored sandals on an eCommerce site. She’s curious about what she can style with it. Instead of adding it to the cart immediately, she scrolls endlessly in search of matching items. Overwhelmed by unlimited options, she eventually leaves the site. Does this sound familiar to you? Most online fashion stores showcase thousands of items, aiming to offer variety. But finally, it ends up confusing shoppers rather than converting them. AI-driven Complete the Look recommendations can change this situation. It sparks inspiration, removes the stress of styling, and makes shopping easier and more enjoyable. 

What are the Complete the Look Recommendations?

Complete the Look (CTL) goes beyond promoting a single piece of clothing. It suggests various items to mix to create a complete, fashionable look. Think of it as having a personal stylist available 24/7. But instead of a human stylist, it is an AI-powered stylist.

The idea of the CTL recommendations is simple. A shopper is interested in a garment on your eCommerce site. She clicks on its image to get further information. Its product detail page doesn’t just show size and color options. The CTL model recommends to her other pieces that go perfectly with that garment, matching in style, color, vibe, and occasion. A cohesive, trendy outfit is ready to add to her cart. 

Currently, many fashion sites already feature CTL recommendations, yet under different names like:

‘Wear it With’ (The Outnet)

‘How to Style it’ (Tommy Hilfiger)

‘Complete the Look’ (Farfetch) 

‘How to Wear it’ (J.crew)

Some of them use human curators while others follow rule-based systems. How about leveraging AI to curate perfect outfits for your fashion eCommerce? Have you ever imagined such a thing? AI could take CTL recommendations to a whole new level.

How AI Curates Complete the Look for Your Fashion eCommerce?

YesPlz AI model for CTL leverages lookbooks, product images, and large language models (LLMs.) The outcomes? On-brand, occasion-ready outfits that make shopping more enjoyable. At the same time, your fashion eCommerce site can drive engagement and boost sales.

Step 1: Learn from Lookbooks and Product Images

Lookbooks have long been an ideal source of style inspiration. They provide fashion-savvy shoppers with a practical guide to the latest trends and outfit combinations. 

Similar to humans, YesPlz AI can also learn from lookbooks or product images. Based on these sources, it comprehends how items are styled together. This allows it to provide on-brand recommendations that have been trained specifically for any brand. 

Let's take the image above as an example. This is a product detail page of a big bag. The outfit the model is wearing in the image matches it with a collared shirt, midi-length skirt, and pointy-toe pump heels.

YesPlz AI analyzes the style and recognizes each item, capturing the casual vibe, color, style, and categories. It then immediately provides three types of "Complete the Look" recommendations.

The AI then finds matching items such as the midi-length skirt, collared shirt, and pointy-toe heels featured in the image within the catalog. It provides a complete look to match with the big bag.

This process allows YesPlz AI to recommend on-brand outfits for any item in your product catalog. 

Step 2: Leverage LLMs for Fashion Context and Trends

Beyond visual cues from lookbooks and product images, YesPlz AI taps into the power of LLMs. They are specifically trained to understand the fashion context and trends. That means the AI constantly updates the latest fashion trends and styling principles. Thus, your shoppers always receive compelling Complete the Look recommendations for any occasion. Weddings, year-end parties, first dates, business meetings, just to name a few. 

Here’s how it works:

Understanding Fashion Context: The AI identifies a product type and its intended vibe.

Matching Styling Principles: It considers the occasion and shopper's intent to apply the best-suited fashion principles.

Curating Recommendations: It selects items from your catalog to complete the outfit in a second.

Let’s return to the ‘cream-colored sandals’ example in the introduction. In the product image above, the item is displayed without a model. So, how does YesPlz AI curate a perfect outfit in this scenario? 

YesPlz AI detects the product type: a pair of Alphard leather sandals. It then associates it with a sophisticated yet elegant vibe. Based on that, the technology suggests complementary pieces including a front cowl pencil dress and a pair of small floating pearl hoop earrings. 

A Human Curator vs. an AI-Powered Stylist: Pros and Cons

Many brands prefer their merchandisers to be in charge of curating complete outfits. The reason is obvious. These people have a deep understanding of both the brand and their customers. So, they will best present on-brand styles. This is the key strength of a human curator.

However, new products are added daily to online fashion stores. It’s almost impossible to manually create the Complete the Look recommendations for every single item. This is where an AI stylist can help. 

AI could take CTL recommendations to a whole new level based on:

- Personal data (body type, height, skin tone, etc.)

- Style preferences

- Purchase intent

- Browsing behaviors

- Purchase history

- Special occasions

- The latest trends

This process happens in bulk for thousands of products in minutes. 

Want to know how the Complete the Look recommendations work? Schedule a demo today to see how YesPlz AI curates perfect outfits for your eCommerce. 

 Schedule a demo today