Provide personalized styling recommendations to increase eCommerce AOV helps fashion retailers give their shoppers stylish and personalized outfitting recommendations for every product — boosting Average Order Size and Average Order Value.

Trusted by over 150+ retailers across the globe

Levis Logo
Tata Logo
Off White Logo
Kind Logo
Hanes Logo
ECI Logo
Centric Brands Logo
Club Monaco Logo
ThredUp Logo
ThredUp Logo
Jendaya Logo
EIP Logo
Styletheory Logo
Fedex Logo
Namshi Logo
Mercado Logo
Mercado Logo
Mercado Logo
Theory Logo
Sell outfits rather than a single product to your shoppers

Sell outfits rather than a single product to your shoppers’s styling recommendations help identify outfits for any product that a shopper is viewing. These outfits can be built from scratch by AI or can be curated based on how it has been styled in the product photo. Showing these personalized outfitting suggestions to shoppers helps increase average order size and value.

Powerful capabilities for styling recommendationsthat convert

Rich Product & Customer Data

The AI extracts and enhances product data that can then be mapped to shopper profiles, based on their site behavior, for highly personalized experiences.

Dynamic 1:1 Personalization alters content real-time, to match every single shopper’s preferences and intent.

Customizable AI

The AI algorithms can be trained and customized for different retail strategies based on every business’s goals and priorities.

Omni-Channel Personalization’s product recommendations can be deployed across shopper touchpoints through channels like the website, app, mail, and notifications.

Journey Experience Management

The platform allows for a straightforward way of creating, testing, and scaling personalized experiences across different marketing and website touchpoints.

A/B Testing

The dashboard has a easy, quick way to design and run statistically significant A/B tests across the site and other shopper touchpoints.

Audience Segmentation

The platform allows segmentation of shoppers based on behavior, intent, demographics, and psychographics - and automatically adds new visitors to the relevant segments.

Business Impact Dashboard

The dashboard measures an exhaustive range of KPIs including directly attributable revenue, revenue per user, and more. AI-Powered Personalization Platform is a single platform retailers can use to create personalized shopper journeys within and outside their site.

Image of the dashboard

Dynamic 1:1 personalization

One platform. Everything you need.

Enhances & generates data

Make the AI your own

AI enabled decision making

Provide a personal stylist to every shopper on your site

AI Stylist
Shop the Look

The AI stylist recommends different ways in which a shopper can wear a product with other products in the catalog - for different themes and occasions.

How it works: The AI has been trained to build outfits for a set of preset themes. When provided with a base product, the AI Stylist builds a number of product combinations for the chosen themes and the highest ranked outfits are displayed to the shopper. You can also choose to build custom themes for your brand based on your business goals.

AI Stylist Outfit Recommendations

Shop The Look identifies and recommends the products that a model in an image is wearing. It helps monetize the entire product photo rather than focus on a single product.

How it works: Using AI powered image recognition, Shop The Look extracts different products shown in the PDP image. It then matches this with the catalog to find the exact products. If something is out of stock or not available, the AI replaces it with the next closest match.

Shop The Look Outfit Recommendations

Impact retailers have seen with’s personalized styling

uplift in AOV
improved conversions

*Observed in A/B tests conducted by customers

Why choose’s outfit recommendations

Product Intelligence with AI

Product Intelligence

1:1 Styling recommendations

1:1 Styling

Real-time dynamic  personalization

Real-time Dynamic

Smart customization of recommendations

Smart Customization of

Chris Homer, Co-Founder & CTO

Chris Homer,

Co-Founder & CTO

"Customers fill out a style profile, tell us a what they like and upload moodboards from Pinterest. Then, combining’s technology plus our own stylists in the loop, we curate a box for them. Customers receive 10-12 items, try them and return what doesn’t work. It gives our customers convenience, freedom, privacy & flexibility so we found it a very powerful addition to the platform."

Santiago Valdes, Co-founder, Vestua

Santiago Valdes,

Co-founder, Vestua

"In resale today, scale equals technology, and we're really seeing the impact of leveraging recommendations with Given that with resale you gave unique, one of a kind items, its frustrating when there's no second or an additonal piece of an item. This is when recommendations can help with the closest style, size etc."

Anandamoy Roy Chowdhary

Anandamoy Roy Chowdhary,

Director of Technology, Sequoia Capital India

"The team is on a mission to put AI and intelligent automation in the hands of teams across the globe in ways that improve productivity and growth multi-fold."

Request a free demo

Personalized Styling Recommendations with AI

Custom demos typically last for 30 minutes. In this time, you can expect to:

  1. Get a in-depth understanding of personalized styling recommendations and their capabilities.
  2. Understand how other retailers are using this solution to achieve their business goals.
  3. Discuss your unique needs and challenges.

One of our experts will get in touch with you on your work email. Rest assured, we respect your privacy.

It's simple math: When shoppers buy more products, revenue increases. Learn how styling recommendations can be applied to improve eCommerce revenue.


How Styling Recommendations
Can Help Increase Revenue

Your brick-and-mortar store has shopping assistants and stylists. Why should your online store be any different?


Transform Fashion Automation
With AI Styling

Access the details of a global retailer’s experiments with styling recommendations on email.


Retailers Make Off-Site Personalization
Better With A/B Tests


Your best source for all things AI & retail

News, ideas and updates for all your retail teams