Lily AI supercharges retailers of all types by dramatically improving on-site search, personalized product discovery, recommendations and demand prediction - unlocking millions in new revenues.
Our customer intent platform provides a depth and scale of attribution that no other solution can match. Now retailers can configure 10x more attributes for each product - from fit to style, from embellishments to occasion and much more.
Add exceptional depth to your product catalog, and make it easier for shoppers to find what they’re looking for
Drive AOV and revenue by helping shoppers discover the products they really want based on their style, personal preferences, and current context
Boost your supply chain and inventory management systems to rapidly improve demand forecasting and allocation planning while reducing return rates
Gain one comprehensive source of truth for product descriptions you can leverage across the business to boost merchandising, marketing and ecommerce KPIs
Send robust product and consumer data to every destination system, and supercharge search engines, recommender systems, demand prediction models and item set-up processes
Your exponential growth in product accuracy and depth is powered by Lily AI’s unique, dedicated in-house styling team and their deep backgrounds in fashion, technology and retailing
Add exceptional depth to your product catalog, and make it easier for shoppers to find what they’re looking for
Drive AOV and revenue by helping shoppers discover the products they really want based on their style, personal preferences, and current context
Boost your supply chain and inventory management systems to rapidly improve demand forecasting and allocation planning while reducing return rates
Gain one comprehensive source of truth for product descriptions you can leverage across the business to boost merchandising, marketing and ecommerce KPIs
Send robust product and consumer data to every destination system, and supercharge search engines, recommender systems, demand prediction models and item set-up processes
Your exponential growth in product accuracy and depth is powered by Lily AI’s unique, dedicated in-house styling team and their deep backgrounds in fashion, technology and retailing
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Depth and scale of AI- and human-powered product attribution that no other solution can match
By using robust, AI-powered image recognition to extract product attributes, Lily allows retailers to configure 10x more attributes for each product. 1 billion data points and growing, at 99% accuracy
Flexible, developer-friendly realtime and batch APIs that help the ecommerce investments retailers have already made become even more powerful
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See relationships between attributes and how they intersect with each unique consumer’s behavior, motivations and emotional context.
Built by retail industry experts and technologists with 150+ years of deep retail and fashion experience.
Our single unique view of the customer occurs across every brand interaction, injecting customer intent into ecommerce that delights customers in a way that’s never been done before.
It all needs to start with the customer. The context of what she is trying to accomplish—her progress in refreshing her closet or finding a specific piece for an event—does not come from segmentation alone. Lily AI's customer intent platform understands what our customer is trying to do and offers the right recommendations to her, not products she doesn’t actually want.
Lily AI’s enriched data increased prediction accuracy of recommendations by +30%. We haven’t seen anything else create such a lift. This is the type of AI story that needs to be told in retail.
It all needs to start with the customer. The context of what she is trying to accomplish—her progress in refreshing her closet or finding a specific piece for an event—does not come from segmentation alone. Lily AI Deep Profiles understands what our customer is trying to do and offers the right recommendations to her, not products she doesn’t actually want.
Lily AI’s enriched data increased prediction accuracy of recommendations by +30%. We haven’t seen anything else create such a lift. This is the type of AI story that needs to be told in retail.
A Q&A with Joyce Lay, a veteran Lead Merchandise Analyst at Lily AI who has been instrumental in helping to build product taxonomies and in creating the universal mathematical language that powers the Lily AI customer intent platform. She's now turned her attention to using her expertise to do the same for beauty brands and retailers.
What are some of the latest breakthrough advances in AI, as well as current data science challenges in retail? We asked Matthew Nokleby, Lily AI’s Tech Lead Manager, Computer Vision, for his expertise on these questions, on building ML models, and advice he’d give right now to those pursuing careers in data science.
