Deliver more relevant shopping experiences through a deeper understanding of your customers

Lily’s product discovery platform uses deep product data and a 360 view of your shopper to understand the “why” and emotional context behind your shopper’s purchases so you can deliver the most relevant, personalized experiences for them.

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Purpose Built AI for Retail

Lily AI helps brands and retailers understand shoppers' emotional context

Each time a customer comes to your site, they bring their purchase preferences and current needs with them. Lily AI marries product attributes with customer behavior data to surface the best ideas for each individual shopper.

Make search more relevant

Add depth to the attributes in your product catalog to make it easier for shoppers to find what they’re looking for

Elevate your personalization strategy

Drive AOV and revenue by helping shoppers discover more products based on their style, personal preferences, and current context

Clean up your product catalog

Create clean, structured and comprehensive product catalog data to leverage across the business to boost merchandising, marketing and e-commerce KPIs

Enhance your acquisition strategy

Enhance your SEO/SEM leveraging the depth of our product data

Retain and sell more

Retain & sell more leveraging Lily AI enriched profiles and recommendations

Connect with your shoppers

Understand the why behind each purchase to build stronger connections with your shoppers

Our Products

Product Intelligence

Product discovery powered by product attributes.

Lily AI’s unique strength on product intelligence.

Deepest product data

Taxonomy of over 15,000 attributes

Largest proprietary training data set in the world

Model trained by the largest set of training data hand labeled by retail experts

1 billion data points and growing; 99% accuracy

Take control of your data

Flexible, developer friendly realtime and batch APIs

Use cases for product intelligence

Enhancement of site search

Filters & facets

Product recs

SEO & SEM

Consumer Intelligence

Lily AI’s unique strength on customer intelligence

Deepest prediction of customer context

First & only to predict psychographics of shoppers.

Styling intelligence that connects customers to products

Built by fashion industry experts and technologists with 150+ years of deep retail and fashion experience.

A platform for shoppers and retailers

A single unique view of the customer across every brand interaction. The same psychographic profile can be used to delight your shoppers at every interaction.

Use cases for consumer intelligence

Enhancement of site search

Filters & facets

Product recs

SEO & SEM

World’s best product discovery platform for retailers and brands

Re-commerce platforms

Luxury department stores

DTC brands

Resources

thredUP increases sell-through by 15% with enriched product data from Lily

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Guide to consumer engagement

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Testimonials

Chris Homer

Co-Founder & CTO, thredUP

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.

Top 3 Mass Merchant

Senior Director of Personalization

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.

Featured Blogs

New

June 14, 2021

Online Consumer Behavior Evolves, So How Are People Shopping Online in 2021?

The relentless rise of omnichannel retail continues to reshape consumer behavior in fashion and e-commerce as a whole. Currently, 33% of retail sales in the United States are through e-commerce, with even more customers lured online since the pandemic. Not all companies are equipped to handle the influx, however. Retailers need to invest in new skills, new technology and new processes to compete. This also requires a bolder approach to personalization and product data. With the incumbent strategy falling short of consumer needs, here’s what retailers must do to respond to online consumer behavior in 2021.

Inventory Management

June 8, 2021

How Enriched Product Data Helps Inventory Management and Merchandise Planning

Granular product data is a priceless resource for helping online fashion retailers improve their demand forecasting and inventory planning. Find out how detailed product attributes can boost sales and optimize inventory planning.

See your customers as they see themselves

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