We have pricing packages that enable e-commerce brands of all sizes to rapidly address their most pressing needs – from product discovery, site search and recommendations to demand forecasting, all without having to rip & replace anything. Contact our team for a quote today!
Extensive customer-centered product attribution to power multiple use cases and the entire e-commerce ecosystem, helping brands boost search revenue, recommendations and SEO/SEM.
Improve demand forecasting accuracy with proxy products and insight into the why behind customer preferences, helping to increase full-margin sales and decrease markdowns.
Support for the use cases that truly matter for your e-commerce business, including augmented site search, filters and facets, third-party recommendations and demand forecasting. Each Lily AI plan includes dashboards for search term impact analysis, along with actionable insights available in the Lily AI platform.
We also include a robust onboarding and industry expertise consultation program for all plans, with industry experts by your side for model development and training.
The problems you’re looking to solve will help drive which plan works best for your business.
Lily E-Commerce is a robust product attribution solution that provides extensive customer-centric attributes to instantly boost search revenue, product recommendations and SEO/SEM relevance. If you’re looking to drive more revenue across your existing on-site search engine, PIM, recommendation system and search tools, this is the package you’re looking for.
Lily Demand Forecasting is for demand forecasting and merchandise planning teams looking to improve demand prediction while helping to increase full-margin sales and decrease markdowns.
We’re happy to help explain the differences to see which might work best for you and your team.
Lily AI works with global brands and industry leaders of many sizes such as Bloomingdale’s, The Gap, Macy’s, thredUP, VF Corporation, Backcountry, JOOR and more. We help them inject robust product attribute data into their existing e-commerce tools, which dramatically improves their on-site search, relevant product recommendations and demand forecasting, unlocking millions in new revenues.
Because Lily AI allows e-commerce brands to start speaking in a language of customers, rather than using legacy, “out of the box” attributes, the impact is exceptionally strong at every stage of the retail value chain, from item set-up through SEO/SEM, on-site search, personalization and demand forecasting. Our customers typically see millions in top- and bottom-line impact.
Key measurements include, among others: increases in on-site conversion; increase in forecast accuracy; boosts in site engagement as well as an increase in average revenue per visitor. Our Customer Stories page provides some great examples.
Lily AI has been built to be “tech-agnostic”, and makes any existing e-commerce stack better. There’s no need to rip & replace anything. Lily AI sends robust product and consumer data to all destination tools in the commerce ecosystem. Having a centralized PIM that can save our robust product attribution is beneficial, as is having an existing e-commerce search vendor that can now return much more relevant search results.
For Lily AI customers on the E-Commerce plan, we provide regular and ongoing trend identification to help brands adjust rapidly to breakthrough trends that affect their product catalogs, to help ensure that they’re able to take advantage with updated taxonomies.
The team also provides a quarterly look at industry trends and changes, all of which can greatly impact how products can and should be attributed to maximize discovery and sell-through. We have a team of domain experts with extensive backgrounds in fashion, home, beauty, technology and retailing who provide customized trend reports every 3 months to Lily E-Commerce customers.