Product Attribution
Your products, their lingo
Shoppers often think about products with different language than brands, leading to failed searches and frustration. Lily bridges this gap by infusing customer language in every part of your business.
- 20k+ customer-oriented attribute taxonomy
- 30B items tagged per year
- 3B+ training data points
AI-powered product attribution
Lily analyzes your product images and descriptions, plus clickstream data, then enriches your product descriptions with attributes shoppers want… even if they don’t know it yet.
Trends
Lily constantly updates its AI models with the latest trends, micro-occasions, and styles, to make sure your products reflect the zeitgeist as it happens.
Synonyms
Shoppers use different words to search for the same item. Lily’s synonyms library incorporates these terminology differences into your product metadata to cover all possibilities.
Data
AI Built For Retail
AI isn’t one-size-fits-all. Lily’s AI is built on retail data to solve retail-specific problems.
Data sources
Lily combines retailer data, public data, and proprietary data, to make retail-customized solutions with proven results.
Domain expertise
Lily’s retail experts and stylists are constantly adding the latest micro and macro trends to our models to ensure your product language is up to date.
Continuous machine learning
Performance data is constantly routed back to our AI models to steadily improve your results.