Stylitics is an AI styling platform for retailers, offering outfit recommendations to increase conversions and engagement. Explore features, pricing, and reviews.
Keyphrase
Stylitics
Description
Stylitics is a visual outfitting and AI-powered recommendation platform that helps fashion retailers increase engagement, conversion rates, and average order value through personalized styling experiences. The platform uses machine learning and human stylist input to generate complete outfit recommendations that can be embedded across e-commerce websites, mobile apps, emails, and in-store touchpoints. Stylitics enhances the online shopping journey by providing shoppers with relevant, styled looks and cross-sell opportunities that mimic the experience of working with an in-store stylist. Designed for enterprise retail brands, Stylitics supports scalable and automated outfitting to deliver value across marketing, merchandising, and customer experience teams.
Features
Stylitics offers a comprehensive suite of features that enable retailers to deliver personalized styling experiences at scale.
The core feature is Automated Outfit Recommendations, where the platform suggests complete looks based on a shopper’s current product view, preferences, or purchase history. These recommendations are curated using a combination of AI algorithms and a fashion stylist-approved logic engine to ensure relevance, trend accuracy, and brand alignment.
Style Boards and Shop the Look Widgets allow retailers to embed curated outfits directly into product detail pages, category pages, or shopping carts. These components are fully customizable and can be tailored to seasonal campaigns or brand guidelines.
Outfitting Automation enables retailers to generate thousands of styled combinations automatically, saving teams time and resources. Each outfit is built using a rules-based engine that considers product compatibility, visual aesthetics, inventory levels, and brand hierarchy.
The platform also includes Analytics and Reporting, providing data on outfit engagement, click-through rates, and revenue attribution. This helps retailers understand which styles and combinations perform best and optimize accordingly.
Stylitics supports omnichannel deployment, offering integrations across web, email, mobile, and in-store experiences. Additionally, the platform offers Visual Merchandising Tools that allow brands to control product pairings, exclude items, or highlight key pieces in real-time.
How It Works
Stylitics works by connecting with a retailer’s product catalog through APIs or data feeds. Once connected, the platform uses AI and preset styling rules to generate outfit combinations. These rules are based on style guidelines, color theory, seasonality, price tiers, and inventory levels.
As a shopper browses a product detail page, Stylitics displays complementary products as part of a styled look. For example, if a customer views a shirt, the system might recommend a matching pair of pants, shoes, and accessories that complete the outfit. These looks are shown through dynamic modules like “Complete the Look” or “Styled for You.”
The outfitting logic can be customized by category, collection, or campaign. Retailers can input specific visual merchandising rules, such as excluding certain colors or pairing new arrivals with bestsellers.
For email campaigns, Stylitics integrates directly into marketing automation platforms to deliver personalized outfit content based on browsing or purchase history. Similarly, in-store teams can use touchscreens powered by Stylitics to provide customers with digital styling assistance.
Performance data is tracked across every touchpoint, allowing marketers and merchandisers to monitor what styles convert, what combinations drive more revenue, and how outfit content contributes to overall shopping behavior.
Use Cases
Stylitics is used by fashion retailers and lifestyle brands that want to offer personalized styling at scale. A primary use case is e-commerce outfitting, where outfits are displayed on product pages to help customers envision how to wear items together, increasing upsell and cross-sell opportunities.
Retailers also use Stylitics to power email personalization, sending curated looks based on recent browsing behavior, abandoned carts, or seasonal promotions. This leads to higher open and click-through rates, and stronger customer engagement.
In physical stores, Stylitics supports digital styling kiosks that help shoppers find matching products, improving the in-store experience and boosting basket size.
Marketing teams use Stylitics for shoppable content creation, embedding complete outfits into lookbooks, landing pages, and social campaigns.
Product teams benefit from merchandising insights, using data from Stylitics to identify which styles or product pairings resonate most with customers. This feedback loop helps with inventory planning, visual merchandising, and future design direction.
Pricing
Stylitics does not publish fixed pricing on its website. The platform operates on a customized pricing model based on the size of the retailer, number of SKUs, product volume, feature requirements, and deployment channels.
Enterprise brands can request a demo and receive a tailored proposal by contacting the Stylitics team directly. Pricing may also vary based on integration needs, customer support level, and usage volume across touchpoints.
To request a consultation or demo, visit: https://stylitics.com/request-a-demo/
Strengths
Stylitics stands out for its ability to combine AI technology with fashion expertise to deliver styled outfit recommendations that feel human and visually curated. This sets it apart from basic product recommendation engines that rely solely on transactional data or collaborative filtering.
Its flexibility across e-commerce, email, and in-store experiences makes it a powerful omnichannel tool. The automation engine allows for fast scaling without sacrificing brand consistency, making it ideal for large retailers with extensive product catalogs.
Retailers benefit from improved key metrics such as time on site, conversion rate, and average order value. Because the platform surfaces visually cohesive looks, it reduces decision fatigue and encourages customers to explore more items.
Stylitics also offers strong control over visual merchandising, allowing marketing and creative teams to tailor the logic and branding behind the outfit recommendations. This balance between automation and control is a significant strength.
Customer support and onboarding resources are also frequently highlighted by users as helpful and strategic in guiding implementation.
Drawbacks
While Stylitics is feature-rich, it may be best suited for medium to large retailers with extensive product catalogs and the infrastructure to support third-party integrations. Smaller retailers or early-stage fashion startups may find the platform’s enterprise focus and pricing less accessible.
Initial implementation can take time, especially for retailers that lack centralized product data or strong API capabilities. Styling rules and visual merchandising controls also require input from creative or product teams, which may delay deployment for some organizations.
The platform is highly focused on fashion and lifestyle products, so it may not provide the same value for retailers in categories like electronics, groceries, or general merchandise.
Because pricing is customized, there is no public plan to evaluate affordability before contacting the sales team.
Comparison with Other Tools
Stylitics is often compared with AI product recommendation platforms like Vue.ai, Syte, and FindMine. While Vue.ai and Syte offer visual search and tagging tools, Stylitics differentiates itself by focusing specifically on style-based outfitting and shoppable look creation.
Vue.ai provides a broader suite of retail automation features but may not offer the same level of visual merchandising control for outfit curation. Syte specializes in visual search and product discovery but doesn’t deliver the same depth of style logic or human stylist influence.
FindMine also offers product bundling, but Stylitics places greater emphasis on visual design, omnichannel content delivery, and custom rules for branded styling.
Overall, Stylitics offers a more refined solution for enterprise fashion brands seeking to blend AI automation with curated styling across channels.
Customer Reviews and Testimonials
Stylitics is trusted by many of the world’s leading fashion retailers, including Express, Revolve, Bloomingdale’s, Puma, and Urban Outfitters. Customers frequently report increases in average order value, higher engagement, and faster go-to-market for styling content.
Case studies highlight results such as double-digit lifts in cross-sell conversion rates and significant growth in product discovery sessions.
A digital merchandising manager at a major U.S. retailer noted that Stylitics helped their team scale outfit creation from hundreds to tens of thousands of combinations per season, without additional headcount.
Another customer emphasized how Stylitics allowed their marketing team to repurpose styled content across campaigns, emails, and on-site modules—driving a consistent brand experience while saving time.
For more success stories and testimonials, visit: https://stylitics.com/customers/
Conclusion
Stylitics is a leading AI-powered outfitting and styling platform that helps fashion retailers deliver more personalized, engaging, and conversion-focused shopping experiences. By automating the process of outfit creation and styling at scale, Stylitics drives higher customer engagement and maximizes product discovery across channels.
Its strength lies in combining machine learning with human styling logic to deliver visually compelling outfits that reflect brand identity and customer needs. While it may require investment and technical integration, the long-term value in terms of efficiency, sales impact, and content scalability makes it a strategic tool for growth-focused retailers.
As consumer expectations for personalized shopping experiences continue to rise, Stylitics offers a solution that brings the value of a personal stylist into the digital world—at scale and on brand.
