Stylitics vs. Lily AI: Which Platform Delivers Real Retail Impact? Stylitics vs. Lily AI: Which Platform Delivers Real Retail Impact?

Stylitics vs. Lily AI: Which Platform Delivers Real Retail Impact?

Stylitics Marketing Team

The Stylitics Marketing Team explores the intersection of AI, retail, and shopper experience, sharing strategies and insights that shape the future of product discovery and visual merchandising.

Key Takeaways:

  • Stylitics transforms enriched product data into revenue-driving experiences across PDPs, PLPs, emails, and ads.
  • Stylitics enrichment connects seamlessly to styling, bundling, and AI imagery.
  • Lily AI stops at enrichment; Stylitics carries it through to sale, transforming product data into complete, shoppable experiences.

Both Stylitics and Lily AI enrich product data with AI, but their scope and impact differ sharply.
Lily AI focuses on tagging and attribute accuracy to improve search and ad performance.
Stylitics goes further, turning enriched data into complete, shoppable experiences through styling, bundling, AI-generated imagery, and dynamic merchandising.

If your goal is simply to standardize product data, either platform will perform. If you want enrichment that powers personalization, visual inspiration, and measurable revenue impact, Stylitics is the clear choice.

Compare Features: Stylitics vs Lily AI

FeatureStyliticsLily AI
AI-powered product attribute extraction (e.g., color, fit, sleeve, silhouette)✔ ✔ 
Contextual attributes (e.g., style themes, occasions, trends)✔ ✔ 
No-code catalog ingestion & integration with PIM/search/feeds✔ 
Direct integration/optimization for marketplaces & ad channels (Google Merchant, etc)
Styling, bundling, outfitting modules (turning data into shoppable looks)✔ 
On-model / AI imagery generation✔ 
Real-time personalization based on shopper behavior (e.g., 1:1, style profiles)✔ 
Built-in merchandising dashboards & analytics for enterprise customers✔ 
Generative product descriptions/marketing copy(Coming soon)✔ 
Self-serve platform/user control over attribute lifecycle✔ 

How Boston Proper Increased Google Shopping ROAS with Stylitics Catalog Enrichment

Boston Proper partnered with Stylitics to Beta test enriched product metadata and measure its impact on SEO and SEM performance.

How Product Catalog Enrichment Transformed Paid Search for Boston Proper
Why Attributes Matter for SEO SEM and GEO

Use Case Comparison: Stylitics vs. Lily AI

Use CaseStyliticsLily AI
1. Fixing Messy Product DataEnriches and standardizes product data with advanced AI and a large fashion-specific dataset. Delivers detailed, trend-aware attributes aligned with retail taxonomies at scale.Cleans and standardizes data with strong integration flexibility. Connects easily with platforms like Bloomreach, Algolia, and other search/PIM systems.
2. Improving Search and SEO VisibilityImproves search accuracy but focuses more on styling, bundling, and post-discovery engagement than search itself.Optimizes product data for natural language shoppers use. Adds synonyms and emotional terms to boost discoverability and ad performance.
3. Creating Engaging Shopping ExperiencesBuilds shoppable looks, “Shop the Model” carousels, outfit suggestions, and dynamic bundles from enriched data. Ideal for apparel, footwear, and home retailers.Focuses on metadata improvement only; does not create visual or interactive shopping experiences.
4. Visual Merchandising and On-Model ImageryInvesting in AI-driven on-model imagery and visual merchandising capabilities to help retailers scale cohesive PDP and PLP visuals.Does not offer image generation or visual merchandising functionality.
5. Personalization and Cross-SellingUses enriched data to power personalization and cross-sell modules with complementary product suggestions and complete looks.Supports tagging for personalization engines but does not manage display or creative execution.
6. Self-Service and Control Over AttributesEnterprise-managed enrichment with QA and review support; ideal for large retailers preferring automation and managed services.Self-serve platform where users can log in, edit, and manage product attributes directly.
7. Multi-Channel ActivationApplies enriched data across Google Merchant feeds, PDPs, PLPs, email, and ads for full-funnel activation and analytics.Pushes data to feeds and search tools but lacks merchandising dashboards or styling integration.
8. Speed vs. ScaleAccelerates enrichment while adding scale and activation across outfitting, bundling, and visual merchandising. Ideal for full-site styling and personalization.Prioritizes speed and integration through no-code setup and native connections to Bloomreach, Algolia, and other ecommerce platforms.

Stylitics Reviews

Huckberry

“At Huckberry, our secret sauce is discovery. The Stylitics platform and rockstar team has enabled us to bring a new level of product and category discovery to our site experience that reflects a diverse range of styling options, inspiring the modern man to confidently style himself… and add more items to cart.” — Brandon Cohn, Director of Digital Product

Suzanne’s

“We’re excited to offer this new level of personalized experience to our customers online. The ‘Styled for You’ widget provides outfit inspiration based on recent purchases or items a customer has shown interest in. Delivering a unique and tailored shopping journey, one not commonly seen on other Canadian retail sites, is something we’re proud of. Our customers are responding positively, and we continue to see strong engagement when we offer personalized experiences.”— Sasha Becker, Director Marketing Operations

Rhone

“Stylitics has helped us bridge the gap between our online and in-store experience, creating a path to product discovery and inspiring our customers with premium, curated looks.” — Emily Heger, Director, Digital Product

Why Retailers Choose Stylitics

Stylitics transforms enriched catalogs into complete shopper experiences. From trend-driven discovery to personalized bundling and next-generation visual merchandising, Stylitics helps retailers deliver the inspiration and information that drive sales.

  • AI-powered enrichment trained on 10+ years of apparel data and category expertise
  • Automated outfitting, cross-sell, and upsell modules that lift AOV and UPT
  • Enterprise-ready integrations for PDPs, PLPs, Google Merchant feeds, and search platforms
  • Measurable ROI proven through controlled performance testing
  • Human-QA workflows that protect brand accuracy and voice

Two leaders in AI-powered catalog enrichment, but only one connects data, styling, and imagery to deliver personalized shopping experiences at scale.