Lily AI is an eCommerce product discovery platform that utilizes AI models to translate merchant product descriptions into customer-friendly language, enhancing search relevance and improving conversion rates. By aligning product attributes with consumer search terms, Lily AI can increase sales by up to 25% for commerce companies.
Funding
$52.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CVFounders
Product
Problem
E-commerce businesses often struggle to connect product descriptions with the language their customers use when searching for products, leading to poor search relevance and reduced conversion rates. Generic or technical product descriptions fail to capture the nuances of customer intent, resulting in missed sales opportunities.
Solution
Lily AI provides an e-commerce product discovery platform that leverages AI to translate merchant product descriptions into customer-friendly language, improving search relevance and boosting sales. The platform enriches product data with attributes, trends, occasions, and styles, aligning product listings with the search terms customers use across on-site and off-site channels. By understanding customer intent and incorporating natural language search terms, Lily AI helps businesses increase ad impressions, site traffic, and conversion rates. The platform's AI models are trained on a proprietary dataset of retailer, public, and internal training data to extract product details and generate compelling product copy.
Target Audience
Lily AI primarily targets e-commerce brands and retailers looking to improve product discovery, increase conversion rates, and boost sales by aligning product descriptions with customer search behavior.
Features
- AI-powered translation of product descriptions into customer-centric language
- Enrichment of product data with attributes, trends, occasions, and styles
- Integration with site search, shopping ads, organic listings, and marketplaces
- Proprietary dataset of retailer, public, and internal training data
- AI models trained to extract product details and generate compelling product copy
- Measurement and analytics to monitor performance and adjust models
- Application layer for data ingestion, enrichment, and operationalization