AI outfitting platform for retail merchandising at scale
Stylitics is an AI-powered visual merchandising platform for retail ecommerce teams that need automated outfit and product bundling.
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Stylitics is an AI-powered visual merchandising platform that generates complete, shoppable outfits around any product for retail ecommerce teams. Its AI is trained on trend data, inventory rules, and brand styling logic, and merchandisers retain control to review, adjust, or override generated outfits without writing code. Styling modules deploy across product detail pages, product listing pages, email campaigns, and paid channels without requiring engineering support. Pricing is quote-based, with no free plan or trial. Key capabilities include cross-category bundling, Shop the Model experiences, one-to-one shopping personalization, visual discovery, data enrichment with automated catalog tagging, triggered email modules, hotspots, and inventory-aware styling logic that keeps recommendations aligned with stock. Built-in testing and analytics measure how outfitting experiences perform across channels. The platform fits retail merchandising teams that want automated outfitting and product bundling at scale while keeping human oversight over brand presentation.
Retailers connect their product catalog to Stylitics via feed or API, after which the platform auto-generates outfits and product bundles based on brand guardrails, visual cohesion, and real-time inventory availability. Styled modules—including Shop the Look, Shop the Model, How to Style It, and campaign galleries—are published directly to product detail pages, product listing pages, homepages, triggered emails, and ad creatives. Merchandisers can preview and adjust AI-generated outfits, apply business rules, boost specific products, or exclude items through a no-code interface.
The platform includes several distinct product modules beyond basic outfit generation: Hotspots turn lifestyle photography into shoppable moments; 1:1 Shopping Personalization surfaces individual outfit suggestions based on session behavior without third-party cookies; and a Data Enrichment layer tags catalog products with AI-generated attributes such as occasion, trend cluster, and season. These enriched attributes can feed downstream channels including Google Merchant Center, retail media networks, and social commerce feeds. Inventory-aware logic prevents out-of-stock pairings and can prioritize margin movers in real time.
Stylitics targets mid-market to enterprise fashion and apparel retailers operating across multiple categories, regions, and storefronts. Named case study clients include Rhone, JD Sports, PUMA, and Suzanne's. The platform integrates with Shopify, Salesforce Commerce Cloud, and Adobe Commerce. Pricing is not publicly listed and requires direct contact; there is no publicly available free plan or trial. A named competitor in the category is FindMine, which Stylitics distinguishes itself from by offering merchandiser-editable outputs rather than a fully automated black-box model.
Stylitics is a web-based SaaS platform. Onboarding is described as requiring minimal development time, with integrations managed through standard commerce platform connectors and API or feed-based catalog sync.
Serves individual shoppers personalized outfit suggestions based on behavior, session data, and preferences without relying on third-party cookies.
Auto-generates complete, shoppable outfits around any product using AI trained on trend data, inventory rules, and brand styling logic for deployment on PDPs and PLPs.
Auto-tags products with AI-generated attributes such as trend, occasion, season, and style cluster to improve search, filtering, and multi-channel distribution including Google Merchant Center.
Automatically excludes out-of-stock products from outfit pairings and surfaces margin-priority items in real time based on live inventory data.
Provides performance testing and analytics tools so merchandisers can monitor outfit module results and adapt styling decisions based on conversion and engagement signals.
Automatically recommends curated sets of complementary products across categories (e.g., top + bottom + shoes) to increase UPT and AOV without manual merchandising.
Inserts real-time styled outfit bundles into cart abandonment, post-purchase, and new arrival email campaigns without engineering support.
Adds interactive shoppable elements directly onto lifestyle images, turning static editorial content into clickable outfit moments on PDPs or campaign pages.
Enables shoppers to replicate influencer or model outfits from PDPs, editorials, or social posts with a single click.
Delivers interactive lookbooks, campaign carousels, hotspot-enabled lifestyle imagery, and gift guides to drive shopper inspiration and engagement.
Allows merchandisers to review, adjust, boost, or exclude AI-generated outfits and apply custom business rules at any time without writing code.
Publishes styling modules to PDPs, PLPs, homepages, email, and paid channels without requiring engineering support, with connectors for Shopify, Salesforce, and Adobe Commerce.
Custom pricing based on catalog size, channels, and business goals. No public list prices are available — all plans are scoped individually.
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Common questions answered by our AI research team
Stylitics doesn't publish prices; pricing is quote-based via sales and customized to your catalog size, channels, and business goals. It's usage-based, scaling with your catalog and activations.
Core features include Shop the Look, Styled for You, Complete the Look, and Shop Similar for out-of-stock items. Its AI Image Studio adds Flat Lay to Model conversion and AI Colorway Swaps.
Stylitics deploys across PDPs, category pages, galleries, checkout, email, and app. The platform operates in 50+ countries and 30+ languages, so global storefronts are supported.
Stylitics cites 45 days from contract to production, and its pricing page says most customers go live in under 2 weeks. Ongoing effort is light: the managed imagery service needs less than 2 hours of client time per month.
Stylitics provides encryption in transit and at rest, role-based access controls, and audit logging, backed by a 99.99% uptime SLA. Individual retailer and brand data is never shared across accounts.