Product Attributes

Your products, their lingo

Shoppers often think about products in a different language than brands, leading to failed searches, frustrating experiences, and missed opportunities. Lily bridges this gap by infusing customer language into every part of your business.

  • 25k+ customer-oriented attribute taxonomy
  • 30M+ items tagged per year
  • 3B+ training data points
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up to
$0M
annual incremental sales lift
AI-powered product attributes

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.

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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.

Workflows

We get your AI workflows up and running

Lily’s workflows are a powerful operations layer designed to seamlessly integrate with your existing tech, ensuring ROI by getting you up and running quickly.

Ingestion

Lily’s ingestion process automatically normalizes data from multiple sources, reducing issues from manually preparing data.

Integrations

Lily integrates quickly and smoothly into your existing retail tech stack to get you started ASAP.

Business Logic

Workflows align to your tech stack to deliver the right data to the right downstream systems, incorporating logic rules like whether to overwrite existing fields or not.

Business Logic

We get your AI workflows up and running

Workflows align to your tech stack to deliver the right data to the right downstream systems, incorporating logic rules like whether to overwrite existing fields or not.

Ingestion

Lily’s ingestion process automatically normalizes data from multiple sources, reducing issues from manually preparing data.

Integrations

Lily integrates quickly and smoothly into your existing retail tech stack to get you started ASAP.

Business Logic

Workflows align to your tech stack to deliver the right data to the right downstream systems, incorporating logic rules like whether to overwrite existing fields or not.

Integrations

Resource Center

Reports & Guides

The Role of Product Content in AI Search and Discovery

Product discovery is experiencing its biggest shift since digital commerce began. This report gives retailers a clear framework for structuring product content so generative engines can reliably understand, match, and surface their products across modern search and shopping environments.
Reports & Guides

The Readiness Gap: Why 70% of Shoppers Are Ahead of Retailers in AI Commerce

Discover why shoppers are adopting AI-powered shopping faster than retailers can adapt. This new report reveals how consumers are using AI to search, compare, and buy, and what brands must do now to stay visible in the age of agentic commerce.
Blog

6 Things Every Retailer Needs to Know About Agentic Shopping Right Now

Consumers are no longer typing short keywords into a search bar. They’re expressing intent in full, nuanced sentences: “I need something polished but comfortable for an outdoor event next week,” or “Find me a gift that feels personal but ships fast.”
Blog

5 Ways Smarter Product Content Can Boost Your Google Ads ROI This Holiday Season

Holiday 2025 is shaping up to be one of the most competitive seasons on Google. With AI now interpreting everything from product attributes to schema structure, performance depends less on keyword strategy and more on how well Google can understand what you sell.
Blog

The Agentic Wake-Up Call for Retail: Why CMOs and CDOs Must Prioritize Product Data Now

Last week, technology luminary Andrej Karpathy offered a crucial perspective on the AI journey, calling this the “decade of agents,” with truly autonomous, reasoning AI agents still years away.
Blog

The Agentic Commerce Era Has Officially Begun

Walmart’s new partnership with OpenAI brings shopping directly into ChatGPT—ushering in an era of agentic commerce where AI agents handle discovery and checkout. For brands, product content optimization just became existential.
Blog

Every Discovery Is AI Discovery

AI is redefining retail discovery. Learn how brands can bridge the language gap between how people search and how products are described.
Blog

In the Instant Checkout Era, Product Content Is Everything

Putting aside the polarizing (and highly skeptical) debates on Reddit, everyone’s buzzing about OpenAI’s Instant Checkout. But let’s be clear: the real winners in this new era won’t be the ones with the flashiest tech stack. They’ll be the brands that finally fix their product content.
Blog

Product Attributes 101: The Importance of Enriched, Structured, Natural Language Details for AI Discovery

The right attributes speak the language of both consumers and machines alike, helping humans, search engines, and AI agents discover your products. Here, we explain why product attribution is foundational for optimizing product content.
Blog

7 Hot Takes on AI from Female Execs & Founders at Cannes Lions

At Cannes Lions, female leaders in AI came together for a candid conversation about the role of AI in advertising and business today. Here are seven hot takes from the session.
Cannes 2025 7 Key Takeaways | Lily AI
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