# Lily AI, Inc.


> Lily helps retailers and brands grow with AI-driven advertising across Google, Meta, and onsite, plus discovery and agentic commerce powered by Lily Max.


## Pages
- [Lily Max](https://www.lily.ai/): Lily Max is the agentic product intelligence engine for AI commerce. Lift across Google Ads, Meta Ads, AI discovery, and onsite. Tested, not promised.
- [Google Ads Feed Optimization](https://www.lily.ai/google-ads): Optimize your Google Merchant Center feed for Shopping, Performance Max, and Demand Gen. Product-led paid performance, measured against a control.
- [How Lily Max Works](https://www.lily.ai/how-it-works): See how Lily Max agents find product-data gaps, generate AI-ready enrichments, run controlled tests, and deploy the winners across every surface AI sells on.
- [Meta Ads Catalog Optimization](https://www.lily.ai/meta-ads): Optimize your Meta Commerce Manager catalog for Advantage+ catalog ads, retargeting, and prospecting across Facebook and Instagram. Measured against a holdout.
- [AI Discovery & Agentic Commerce](https://www.lily.ai/ai-discovery): Make your products legible to AI. Optimize feeds, schema, and bot-facing content so answer engines and shopping agents can understand, cite, and recommend them.
- [Onsite Search & PDP Optimization](https://www.lily.ai/onsite): Optimize PDP copy, onsite search, filters, and facets so shoppers find and buy on the site you own. Richer product data, measured against a control.
- [Pricing that scales with your catalog and ad spend](https://www.lily.ai/pricing): Lily pricing scales with your catalog, channels, and ad spend. Every plan includes matched-spend testing so you only scale what's proven to lift revenue.
- [FAQs on product data, pricing, and AI discovery](https://www.lily.ai/faqs): Answers about Lily's products, pricing, coverage, implementation, security, and the outcomes customers report.
- [Winning every surface where people search and shop](https://www.lily.ai/blog): Playbooks, product updates, and points of view on Google Ads, Meta Ads, AI discovery, and onsite, from the team behind Lily Max.
- [Guides and research on AI commerce optimization](https://www.lily.ai/resources): Guides, playbooks, case studies, and research on optimizing product data for Google Ads, Meta, AI discovery, and onsite — from the team behind Lily Max.
- [Book a Demo](https://www.lily.ai/book-a-demo): See where Lily Max can lift your revenue across Google Ads, Meta, AI discovery, and onsite. Book a personalized demo tailored to your catalog and goals.
- [Privacy Policy](https://www.lily.ai/privacy): How Lily AI collects, uses, shares, and protects your personal data, including CCPA and GDPR rights. Last updated May 20, 2022.
- [Terms of Service](https://www.lily.ai/terms): The terms governing use of Lily AI's website and services, including arbitration and class action waiver. Last updated May 6, 2022.
- [How we secure your product and performance data](https://www.lily.ai/security): How Lily AI secures your product and performance data: encryption in transit and at rest, least-privilege access, server-side secrets, and validated inputs.
- [In the press: news, funding, and announcements](https://www.lily.ai/press): Lily AI in the press: funding announcements, product news, and media coverage across The New York Times, Bloomberg, Forbes, WWD, Ad Age, and more.
- [Paid ads powered by better product intelligence](https://www.lily.ai/paid-ads): Lily Max enriches the product data your paid campaigns depend on, then tests what actually lifts performance across Google and Meta.
- [Case studies: proof from brands in AI commerce](https://www.lily.ai/case-studies): How leading retail brands grew revenue and ROAS with Lily-enriched product intelligence across paid, agentic, and onsite surfaces.
- [Lily Max for Enterprise](https://www.lily.ai/enterprise): One product intelligence engine across every AI commerce surface. Built for catalog scale and complex verticals, and proven with controlled tests.
- [Lily Max for Agencies & Partners](https://www.lily.ai/agencies): Bring product intelligence to every client. Manage catalogs in one place, white-label the engine, and grow accounts with controlled-test proof of lift.
- [Contact sales, support, and partnerships](https://www.lily.ai/contact): Get in touch with the Lily AI team — sales, support, partnerships, and press. Tell us about your catalog and goals and we'll show where Lily Max helps.
- [Start a Pilot](https://www.lily.ai/free-trial): Request access to Lily Max and see a value signal on your own catalog before any credits are spent. Make every product AI-ready. Tested, not promised.

## Customer stories
- [How A.L.C. boosted full-catalog product discovery on Google](https://www.lily.ai/case-studies/alc-full-catalog-discovery-on-google): A.L.C. enriched its product attributes with Lily AI to expand discoverability across its full catalog, on-site and on Google, driving a major lift in non-branded search and net sales.
- [thredUP increases sell-through by 15% with enriched product data](https://www.lily.ai/case-studies/thredup-sell-through-15-percent): AI-driven deep tagging from Lily AI gave thredUP shoppers two to three times as many ways to search and discover its single-SKU inventory, lifting sell-through by 15%.
- [A global luxury retailer increases relevant results for descriptive searches by up to 30x](https://www.lily.ai/case-studies/luxury-retailer-descriptive-search-30x): Over half of this retailer's on-site searches were attribute-heavy, long-tail queries its manual attribution couldn't serve. Lily AI's consumer-centric attributes increased relevant results by up to 30x.
- [A large multi-brand retailer boosts product discovery, projecting a $22M revenue increase](https://www.lily.ai/case-studies/multi-brand-retailer-22m-product-discovery): Richer Lily AI attribution lifted on-site discoverability 8.5% and search-driven demand 3.3% for a large multi-brand specialty retailer, projecting to a $22M revenue increase across brands.
- [Lily AI recommendations increase RPV by 0.65%, driving $20-30M in incremental demand](https://www.lily.ai/case-studies/multi-brand-retailer-rpv-recommendations): Layering Lily AI's granular attributes onto an existing Certona recommendation engine produced more relevant recommendations, lifting revenue per visit and order size for a $20-30M incremental-demand projection.
- [Lily AI demand forecasting drives 7-8 digit revenue lift with accuracy at scale](https://www.lily.ai/case-studies/demand-forecasting-accuracy-at-scale): Lily AI's visual-similarity models replaced manual proxy-product guesswork, cutting a retailer's forecasting cycle from three months to one and projecting a $7-48M topline revenue lift.
- [How a luxury home brand boosted sales from Shopify site search and Google search](https://www.lily.ai/case-studies/luxury-home-brand-shopify-and-google): A top luxury home furnishing brand enriched its Shopify product content and GMC feed with Lily AI, lifting on-site revenue per visit, Google impressions, and ad clicks, with a ROAS boost two weeks after going live.
- [Tapestry boosts traffic and sales from Google Search with Lily AI](https://www.lily.ai/case-studies/tapestry-google-search-discovery): At CommerceNext 2024, Tapestry (parent of Coach) and Lily AI showed how enriching product attributes with customer-centric language drove high-single and double-digit lifts across SEM, SEO, and Site Search.
- [From experimentation to full AI vibes at Rue Gilt Groupe](https://www.lily.ai/case-studies/rue-gilt-groupe-full-ai-vibes): A CommerceNext 2025 conversation on putting AI to work across the Rue Gilt Groupe portfolio.
- [From SEM to GEO: how Merrell connects with Gen Z and millennials](https://www.lily.ai/case-studies/merrell-sem-to-geo): How Merrell is evolving from search-engine to generative-engine optimization.
- [How Bloomingdale's makes site search convert with enriched product data](https://www.lily.ai/case-studies/bloomingdales-site-search-convert): Bloomingdale's on lifting on-site search conversion with richer product attributes.
- [“AI is here, now what?” with Tapestry and Lily AI](https://www.lily.ai/case-studies/tapestry-ai-is-here-now-what): Tapestry and Lily AI on turning AI ambition into measurable retail results.
- [How J.Crew uses AI to delight customers and power sales growth](https://www.lily.ai/case-studies/jcrew-ai-delight-customers): J.Crew on using product intelligence to improve discovery and growth.

## Blog
- [A buying standard for AI commerce](https://www.lily.ai/blog/a-buying-standard-for-ai-commerce): Four questions to ask before you fund any AI marketing tool. Every retail budget now carries an AI line item, and almost nothing on it arrives with a way to know whether it worked. Here's the standard, and the one shortcut to remember it: would it survive a finance review?
- [The most expensive thing in retail right now](https://www.lily.ai/blog/the-most-expensive-thing-in-retail-right-now): Brands are pouring attention into a future that isn't generating revenue yet, while the surfaces actually producing revenue today get treated like settled infrastructure. A preview of my CommerceNext session with Ken Pilot and Noam Paransky.
- [Google says conversational attributes are optional. History says otherwise.](https://www.lily.ai/blog/conversational-attributes-optional-history-says-otherwise): Mobile-friendly, page speed, structured data: Google introduced each as optional, and each became the price of entry. Conversational attributes, its new AI-shopping feed fields, look like the next one.
- [You don't have an agency problem. You have an input problem.](https://www.lily.ai/blog/you-dont-have-an-agency-problem): A CMO fired three paid agencies in two years and decided you can't find a good one anymore. The real problem was upstream: the old agency edge has been commoditized, and the leverage has moved to the inputs only the brand controls.
- [It always turns out to be a feed](https://www.lily.ai/blog/it-always-turns-out-to-be-a-feed): OpenAI spent a year pitching conversational shopping, then quietly rebuilt something that looks a lot like Google Merchant Center. Every platform that monetizes shopping ends up needing the same thing first: a feed.
- [Google may have just created a billion-dollar optimization market](https://www.lily.ai/blog/google-created-a-billion-dollar-optimization-market): AI visibility struggled to attract serious budget for a simple reason: nobody funds what they can't measure. With Google's new AI Performance Insights, it's measurable now. So the money moves.
- [Automation commoditized everything except your feed](https://www.lily.ai/blog/automation-commoditized-everything-except-your-feed): Google spent five years making paid search dramatically easier to run, which is exactly why it keeps getting more expensive to win. A classic Jevons paradox: automation standardized the edge brands used to build by hand. The one input it can't commoditize is your product feed.
- [Google just told the market AI content isn't the moat. Structured product data is.](https://www.lily.ai/blog/google-ai-content-isnt-the-moat-structured-data-is): Google's official guide on optimizing for AI search quietly dismissed the llms.txt-and-content-variants playbook a whole vendor category was built on. For retailers, the moat isn't AI-optimized content. It's structured, machine-readable product data.
- [$80M in incremental revenue last month, one optimization: the feed](https://www.lily.ai/blog/80m-incremental-revenue-one-optimization-the-feed): Four 28-day Google Ads tests across a luxury house, a US department store, a global home retailer, and an athletic-wear brand. Every lift came from one place: the Google Merchant Center feed.
- [Stripe is building the rails. Your product data decides who wins on them.](https://www.lily.ai/blog/stripe-rails-product-data-decides-who-wins): A day at Stripe Sessions made one thing unmistakable: agentic commerce has moved from interesting future to build now. Stripe is building the payment rails. The brands that win on them will already have their product data structured for agents.
- [Brands are paying for bad product data twice now](https://www.lily.ai/blog/brands-pay-for-bad-product-data-twice): Adobe says 34% of retail product pages can't be properly read by AI, even as the AI channel converts 42% better. The cost of thin product data used to be invisible. Answer engines just made it impossible to ignore.
- [NRF 2026 Takeaways: Retail Is Being Rewired Around AI Discovery](https://www.lily.ai/blog/nrf-2026-takeaways-retail-is-being-rewired-around-ai-discovery): NRF 2026 made clear that AI is no longer a nebulous concept: it is already reshaping how retail teams approach discovery, personalization, and growth. Here is what stood out and why it matters.
- [From Experimentation to Expectation: How AI Shopping Normalized Faster Than Retail Prepared](https://www.lily.ai/blog/from-experimentation-to-expectation-how-ai-shopping-normalized-faster-than-retail-prepared): Over the course of 2025, AI-powered shopping moved from cautious experimentation to everyday utility, shifting how consumers search, discover, and decide what to buy.
- [The Readiness Gap: Why 70% of Shoppers Are Ahead of Retailers in AI Commerce](https://www.lily.ai/blog/the-readiness-gap-why-70-of-shoppers-are-ahead-of-retailers-in-ai-commerce): Shoppers are adopting AI-powered shopping faster than retailers can adapt. This report reveals how consumers use AI to search, compare, and buy, and what brands must do to stay visible.
- [The Role of Product Content in AI Search and Discovery](https://www.lily.ai/blog/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 framework for structuring product content so generative engines can surface it.
- [6 Things Every Retailer Needs to Know About Agentic Shopping Right Now](https://www.lily.ai/blog/6-things-every-retailer-needs-to-know-about-agentic-shopping-right-now): Consumers no longer type short keywords; they express intent in full sentences and AI agents reason through them. Six takeaways on the shift from ranking to reasoning.
- [5 Ways Smarter Product Content Can Boost Your Google Ads ROI This Holiday Season](https://www.lily.ai/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, where performance depends less on keyword strategy than on how well Google can understand what you sell.
- [The Agentic Wake-Up Call for Retail: Why CMOs and CDOs Must Prioritize Product Data Now](https://www.lily.ai/blog/the-agentic-wake-up-call-for-retail-why-cmos-and-cdos-must-prioritize-product-data-now): Andrej Karpathy called this the “decade of agents.” For retail CMOs and CDOs it is a runway, not a buffer: agents only perform atop rock-solid, machine-readable product data.
- [The Agentic Commerce Era Has Officially Begun](https://www.lily.ai/blog/the-agentic-commerce-era-has-officially-begun): Walmart has announced a partnership with OpenAI that lets shoppers discover and buy directly through ChatGPT. Product content optimization is no longer operational; it is existential.
- [Every Discovery Is AI Discovery](https://www.lily.ai/blog/every-discovery-is-ai-discovery): The way you search on Instagram isn’t the way you search on Amazon. Each query describes the same goal in a different language—every platform speaks its own dialect of intent.
- [In the Instant Checkout Era, Product Content Is Everything](https://www.lily.ai/blog/in-the-instant-checkout-era-product-content-is-everything): Everyone’s buzzing about OpenAI’s Instant Checkout, but the real winners won’t be the ones with the flashiest tech stack. They’ll be the brands that finally fix their product content.
- [Product Attributes 101: The Importance of Enriched, Structured, Natural Language Details for AI Discovery](https://www.lily.ai/blog/product-attributes-101): In the AI Discovery Era, PDPs and feeds can’t survive on a handful of merchant-centric attributes. Why product attribute data is mission-critical and the ideal use case for AI.
- [7 Hot Takes on AI from Female Execs & Founders at Cannes Lions](https://www.lily.ai/blog/7-hot-takes-on-ai-female-executives-and-founders-at-cannes-lions): At Cannes Lions this year, Lily AI CEO Purva Gupta joined a panel of women founders to discuss the AI ecosystem in advertising and media. Here are 7 hot takes from the session.
- [Q2 2025 Retail Trends: 3 Opportunities for Google, Meta, SEO, AIO, AEO & GEO](https://www.lily.ai/blog/q2-2025-retail-trends-3-opportunities-for-google-meta-seo-aio-aeo-geo): Q2 2025 retail data across digital advertising and organic search was marked by both ups and downs. Synthesizing the quarter reveals three golden opportunities for marketers right now.
- [Cannes 2025: Women Entrepreneurs Driving AI Startups](https://www.lily.ai/blog/cannes-2025-women-entrepreneurs-driving-ai-startups): In this session from Cannes 2025 at Salon Culture Conversations, Purva Gupta joined a panel of visionary women to discuss the AI ecosystem in advertising and media today.
- [AI Slop vs Creme-of-the-Crop: Optimizing Product Content Generation with AI](https://www.lily.ai/blog/ai-slop-vs-creme-of-the-crop-optimizing-product-content-generation-with-ai): AI slop is low-quality, filler-heavy content generated with AI, and it is flooding the digital landscape. Why it matters for retail, and how to reach the creme of the crop instead.
- [From Experimentation to Full AI Vibes at Rue Gilt Groupe](https://www.lily.ai/blog/from-experimentation-to-full-ai-vibes-at-rue-gilt-groupe): Recorded at CommerceNext 2025: Josh Platt, SVP Product at Rue Gilt Groupe, and Lily AI CEO Purva Gupta on their partnership and how to vibe with AI in advertising and e-commerce.
- [5 Times Google and Meta Disrupted Organic Traffic & SEO, and What’s Next for Retail](https://www.lily.ai/blog/5-times-big-tech-disrupted-organic-traffic-seo-and-whats-next-for-retail): Brands are seeing 30% drops in organic traffic as AI Overviews fuel zero-click search. A look back at five times big tech disrupted SEO, and three predictions for retail.
- [3 Ways GEO vs SEO Tactics Converge, and the Role of Product Content Optimization for Retailers](https://www.lily.ai/blog/3-ways-geo-vs-seo-tactics-converge-and-the-role-of-product-content-optimization-for-retailers): Retail executives keep asking how different GEO and AEO really are from traditional SEO. The answer is complicated, but content is where the two converge most tightly.
- [From SEM to GEO: Learn How Merrell is Connecting with Gen Z and Millennials](https://www.lily.ai/blog/from-sem-to-geo-learn-how-merrell-is-connecting-with-gen-z-and-millennials): An eMarketer webinar with Lily AI CEO Purva Gupta and Merrell’s Jane Smith on how Merrell is connecting with Gen Z and millennials through new discovery paths, from SEO to GEO and beyond.
- [How Merrell is Connecting with Gen Z and Millennials, From SEM to GEO: Webinar Q&A Recap](https://www.lily.ai/blog/how-merrell-is-connecting-with-gen-z-and-millennials-from-sem-to-geo-webinar-qa-recap): Merrell’s VP of Digital Marketing joined our eMarketer webinar to explain how the brand is thriving as AI reshapes consumer discovery. Here are the answers to the audience’s questions.
- [Lily AI Launches Product Content Optimization for SEO, AEO & GEO](https://www.lily.ai/blog/lily-ai-launches-product-content-optimization-for-seo-aeo-geo): Lily AI has launched a new solution built for the realities of SEO and GEO in 2025, automatically enriching, standardizing, and optimizing product content across ecommerce websites.
- [Product Discovery Disrupted: From SEO to GEO and Beyond](https://www.lily.ai/blog/product-discovery-disrupted-from-seo-to-geo-and-beyond): See why AI disrupted search and shopping for the better, and how to succeed in the new world of AI-powered search and shopping across paid, organic, and owned on-site.
- [Retailers, Is Your Product Content Ready for GEO?](https://www.lily.ai/blog/retailers-is-your-product-content-ready-for-geo-heres-why-it-needs-to-be): Generative search is rewriting the rules of SEO right before our eyes. Winning now means being included in the answer itself, with accurate, on-brand, consumer-relevant information.
- [Lily AI Co-Founder Purva Gupta Joins Cannes Lions Panel of Female Founders in AI](https://www.lily.ai/blog/lily-ai-co-founder-purva-gupta-joins-cannes-lions-panel-of-female-founders-in-ai): Lily AI Co-Founder and CEO Purva Gupta will speak at Salon Culture Conversations at Cannes Lions, joining a panel of female founders transforming the AI startup space.
- [What Do Retailers Need to Know About Google AI Mode’s Query Fan-Out Technique and Thematic Search?](https://www.lily.ai/blog/what-do-retailers-need-to-know-about-google-ai-modes-query-fan-out-technique-and-thematic-search): Google's AI Mode and its thematic search patent threaten keyword-based SEO, but they also open a pivotal opportunity for retailers who invest in richer, consumer-centric product data.
- [From Experimentation to Full Vibes at Rue Gilt Groupe: Case Study Session at CommerceNext 2025](https://www.lily.ai/blog/from-experimentation-to-full-vibes-at-rue-gilt-groupe-case-study-session-at-commercenext-2025): For the third year running, Lily AI takes the CommerceNext stage, this time welcoming Josh Platt, SVP Product at Rue Gilt Groupe, to share their story of testing and innovating with Lily AI.
- [What Do Marketers Need to Know About Google’s “AI Mode”?](https://www.lily.ai/blog/what-marketers-need-to-know-about-googles-ai-mode-released-at-i-o-2025): At Google I/O 2025, Google unveiled “AI Mode,” a conversational search experience now live for all U.S. users. Is it revolution or evolution, and what does it mean for SEO and SEM?
- [What is GEO vs SEO? Retail FAQs](https://www.lily.ai/blog/geo-vs-seo-for-retail-and-shopping-faqs): Ask 10 CMOs whether they should be concerned about GEO and you will get 10 different answers. Here are the most common questions about generative engine optimization, unpacked.
- [People Still Matter: Why Humanity Must Remain at the Heart of Retail’s AI Revolution](https://www.lily.ai/blog/people-still-matter-why-humanity-must-remain-at-the-heart-of-retails-ai-revolution): Technology should not be a shortcut to workforce reduction. It should be a catalyst to reimagine and elevate the work that only humans can do in retail.
- [Details Matter: How Product Discovery In the Age of AI and GEO is Evolving for Home Decor Retailers](https://www.lily.ai/blog/details-matter-how-product-discovery-in-the-age-of-ai-aeo-and-geo-is-evolving-for-home-decor-retailers): Finding home decor online shouldn’t feel like a chore. A survey of 2,081 U.S. consumers reveals what today’s buyers want and how the right details get a product found first, then sold.
- [How a Luxury Home Brand Boosted Sales from Shopify Site Search and Google Search](https://www.lily.ai/blog/how-a-luxury-home-brand-boosted-sales-from-shopify-site-search-and-google-search): A luxury home furnishing brand suspected sub-optimal product attributes were hurting conversion. Fixing them lifted on-site ARPV 3.2%, then boosted Google ROAS within two weeks.
- [Consumer Insights for Home Retailers and Retailers: The Latest in Online Shopping Trends & Tech](https://www.lily.ai/blog/consumer-insights-for-home-retailers-and-retailers-the-latest-in-online-shopping-trends-tech): In this new home eBook, we analyze our January 2025 consumer shopping survey data to distill actionable insights for decor, furnishings, and furniture retailers and brands.
- [Met Gala: Celebrating Black Dandyism, Identity, and the Power of Feeling Seen](https://www.lily.ai/blog/met-gala-celebrating-black-dandyism-identity-and-the-power-of-feeling-seen): The 2025 Met Gala celebrated Superfine: Tailoring Black Style, inviting guests to reinterpret Black dandyism, a tradition rooted in self-expression, rebellion and culture-creation.
- [What Are the New SEO Strategies for the AI Era of GEO, AEO, and Agentic Search and Shopping?](https://www.lily.ai/blog/winning-seo-strategies-for-the-ai-era-of-geo-aeo-and-agentic-ai): Bain estimates companies are seeing a 15% to 25% reduction in organic web traffic across industries. Where did the traffic go, and what does winning search look like now?
- [Advertising’s Blind Spot: The Role of Product in Audience Targeting and Personalization](https://www.lily.ai/blog/advertisings-blind-spot-the-role-of-product-in-audience-targeting-and-personalization): For all the advertising industry's focus on the consumer and personalization, there is a glaring blind spot: the personalization equation is equal parts consumer and product.
- [AI Training Data: Why It’s GIGO When Building Next Generation Frontier Firms](https://www.lily.ai/blog/ai-training-data-why-its-gigo-when-building-next-generation-frontier-firms): Microsoft’s research introduces “Frontier Firms” — organizations restructured around humans and AI agents working side by side. But garbage in still means garbage out.
- [Lily AI’s Six Must-See Sessions at POSSIBLE Miami 2025](https://www.lily.ai/blog/our-6-cant-miss-sessions-at-possible-miami-2025): In only its third year, POSSIBLE has become a must-attend show for the advertising industry. Here are the six can’t-miss sessions on our list for POSSIBLE Miami 2025.
- [Beauty Unmasked: What New Consumer Shopping Research Means for Cosmetics, Haircare, and Skincare Brands](https://www.lily.ai/blog/beauty-unmasked-what-new-consumer-shopping-research-means-for-beauty-brands-and-retailers): Lily AI's new eBook analyzes data from our 2025 consumer shopping survey to distill actionable insights for cosmetics, haircare, and skincare brands and retailers.
- [Consumer Insights for Beauty Brands and Retailers: The Latest in Online Shopping Trends & Tech](https://www.lily.ai/blog/the-beauty-industry-unmasked-consumer-insights-for-beauty-brands-and-retailers): We analyze findings from our January 2025 consumer shopping survey to distill actionable insights for cosmetics, haircare, and skincare brands and retailers.
- [What is Product Content Optimization? 3 Things to Know](https://www.lily.ai/blog/what-is-product-content-optimization-3-things-to-know): In an AI-dominated retail world, basic product copy and bare minimum product data no longer cut it. Three things every retailer, brand, and agency needs to know about product content optimization.
- [From Vibe Coding to Vibe Marketing and Content Optimizing](https://www.lily.ai/blog/from-vibe-coding-to-vibe-marketing-and-content-optimizing): Anthropic expects AI to write 90% of its code and Shopify wants proof AI can’t do a job first. Vibe coding captures a cultural shift now reaching retail product content.
- [How A.L.C. Boosted Full Catalog Product Discovery on Google with Lily AI](https://www.lily.ai/blog/how-a-l-c-boosted-full-catalog-product-discovery-on-google-with-lily-ai): In 2022, A.L.C., an advanced contemporary brand primarily known for dresses, wanted to improve the discoverability of its broader product range to drive growth.
- [Consumer Insights for Fashion Brands and Retailers: The Latest in Online Shopping Trends & Tech](https://www.lily.ai/blog/consumer-insights-for-fashion-brands-and-retailers-the-latest-in-online-shopping-trends-tech): In this new fashion eBook, we analyze findings from our January 2025 consumer shopping survey to distill actionable insights for apparel, accessories, and footwear brands and retailers.
- [Fashion Forward: What New Consumer Shopping Research Means for Fashion Brands and Retailers](https://www.lily.ai/blog/fashion-forward-what-new-consumer-shopping-research-means-for-fashion-brands-and-retailers): In our new eBook, Fashion Forward, we analyze data from our 2025 consumer shopping survey to distill actionable insights for apparel, accessories, and footwear brands and retailers.
- [How A.L.C. Elevates Digital Experiences with Lily AI – Don’t Miss Lily AI’s Techtalk at Shoptalk Spring](https://www.lily.ai/blog/how-a-l-c-elevates-digital-experiences-with-lily-ai-dont-miss-lily-ais-techtalk-at-shoptalk-spring): Techtalks return at Shoptalk Spring 2025, where Purva Gupta and A.L.C.'s Hilary Peterson will show how A.L.C. bridges product data and customer intent with Lily AI.
- [Lily AI Returns to SXSW 2025, Speaking about the AI Revolution at Inc. Founders House](https://www.lily.ai/blog/lily-ai-returns-to-sxsw-2025-speaking-about-the-ai-revolution-at-inc-founders-house): Returning to SXSW feels like a homecoming: Lily AI won the 2017 SXSW Accelerator Pitch Event, and this year CTO Sowmiya Chocka Narayanan joins a panel at Inc. Founders House.
- [The Search for Smarter Shopping Continues: New Consumer Shopping Research Unveils Product Content Gaps](https://www.lily.ai/blog/the-search-for-smarter-shopping-continues-new-consumer-shopping-research-unveils-product-content-gaps): After the 2024 holiday season, Lily AI surveyed over 2,000 U.S. shoppers to answer one question: has AI made shopping better? Here are the highlights, plus the full infographic.
- [The Search for Smarter Shopping: The Power of Product Content](https://www.lily.ai/blog/the-search-for-smarter-shopping-the-power-of-product-content): Findings from a consumer shopping survey conducted by Lily AI in January 2025, on the heels of the 2024 holiday season, assessing consumer sentiment toward online search and discovery.
- [Our 7 Can’t-Miss Sessions at eTail West 2025](https://www.lily.ai/blog/7-sessions-the-lily-team-is-most-excited-about-at-etail-west-2025): The Lily team is returning to sunny Palm Springs for eTail West—find us at Kiosk #12. Here is our can’t-miss session list for the show.
- [A-Z Glossary: Key Concepts in AI-Powered Search, Commerce, and Advertising](https://www.lily.ai/blog/a-z-glossary-defining-key-concepts-in-ai-powered-search-commerce-and-advertising): Do you know your product attribution from your measurement attribution? An A-Z glossary of product attributes and content enrichment, AI search and discovery, measurement, and agentic AI.
- [And just like that, 2025 kicks off in NYC at NRF and Times Square](https://www.lily.ai/blog/and-just-like-that-2025-kicks-off-in-nyc-at-nrf-and-times-square): During NRF week, Deloitte took over the Nasdaq Center in Times Square to celebrate the 2024 Bay Area Fast 500, where Lily AI ranked #187 overall and #28 fastest-growing in the Bay Area.
- [Lily AI’s Winter 2025 Release Is Here](https://www.lily.ai/blog/see-whats-new-lily-ais-winter-2025-release): Lily AI’s Winter 2025 release brings a suite of advanced features that transform how retailers optimize product catalogs for discoverability and conversion across every channel.
- [Tapestry Exec: Saying No to AI is Like Saying ‘No, We Don’t Like Money’](https://www.lily.ai/blog/tapestry-exec-saying-no-to-ai-is-like-saying-no-we-dont-like-money): At the SJ Fall Summit, Tapestry's SVP of Global Digital Product & Omnichannel Innovation opened with a mic-drop moment: saying no to AI is like saying “No, we don't like money.”
- [AI Improving Search, Naturally, and Other Takeaways from Legends of Commerce Hosted by Coresight Research](https://www.lily.ai/blog/ai-improving-search-naturally-and-other-takeaways-from-legends-of-commerce-hosted-by-coresight-research): On December 3rd, 2024, retail leaders gathered during the peak of Cyber Week at Legends of Commerce to discuss the hottest topics in retail today. Was AI on the agenda? AI-bsolutely!
- [Lily AI is going BIG at the NRF Big Show in 2025](https://www.lily.ai/blog/lily-ai-is-going-big-at-the-nrf-big-show-in-2025): Lily AI returns to the NRF Big Show Innovation Showcase in January, featuring our no-code product attributes platform and Google Search solution, plus demos with Algolia and Akeneo.
- [How AI Can (really) Deliver Hyper-Relevant Experiences: AI in Retail Leaders Podcast](https://www.lily.ai/blog/how-ai-can-really-deliver-hyper-relevant-experiences-ai-in-retail-leaders-podcast): Lily AI president Ahmed Naiem joined AiR host Matthew Smith for a discussion on how artificial intelligence is reshaping the retail industry.
- [Lily AI Named a Modern Retail Award Finalist Third Year in a Row](https://www.lily.ai/blog/lily-ai-named-a-modern-retail-award-finalist-third-year-in-a-row): Lily AI is a finalist in the 2024 Modern Retail Awards for the third year in a row, this time in a hot new category: Best Use of AI.
- [Lily AI Named a Fastest-Growing Company on the Deloitte Technology Fast 500](https://www.lily.ai/blog/lily-ai-ranked-number-187-fastest-growing-company-by-deloitte): Lily AI ranked #187 on Deloitte's 2024 Technology Fast 500 list of the fastest-growing technology companies in North America, and #28 fastest-growing in the Bay Area.
- [“AI is Here, Now What?” with Tapestry and Lily AI](https://www.lily.ai/blog/ai-is-here-now-what-with-tapestry-and-lily-ai): Recorded at the Sourcing Journal Fall Summit, Lily AI CEO Purva Gupta and Tapestry’s Mandeep Bhatia discuss what’s next in AI for brands and retailers.
- [The AI-Fueled Vibe Shift Happening in Product Search](https://www.lily.ai/blog/the-ai-fueled-vibe-shift-happening-in-product-search): In our SMX Next demo session we explored how retailers can navigate an evolving product search landscape where consumers are no longer confined to traditional search engines.
- [Vibe Shift: Elevating Shopping Ads with AI-Powered Natural Language Search](https://www.lily.ai/blog/vibe-shift-elevating-shopping-ads-with-ai-powered-natural-language-search): In this Live Demo recorded at SMX Next, Lily AI demoed our product attributes platform and no-code GMC integration that enriches product catalogs to boost shopping ad performance.
- [The Friendsgiving Fall Trends Happening Now](https://www.lily.ai/blog/is-your-friendsgiving-outfit-giving): Thanksgiving outfits are formal and traditional, but Friendsgiving is an opportunity for a fun, trendy #OOTD moment. Here are Fall 2024’s hottest trends for the perfect look.
- [Lily AI Unveils Its No-Code Product Attributes Platform](https://www.lily.ai/blog/lily-ai-unveils-its-no-code-product-attributes-platform): The next generation of the Lily AI product attribute platform is now available. With the Lily app, retailers and brands get end-to-end control over attribute management and workflows.
- [Start Harnessing Natural Language Search to Optimize Google Ad Performance](https://www.lily.ai/blog/start-harnessing-natural-language-search-to-optimize-google-ad-performance): Google Shopping Ads are perhaps a retail marketer's most powerful weapon, and optimizing them with AI makes ads even more powerful. Here's how to operationalize natural consumer language.
- [2024 Google Ads Playbook](https://www.lily.ai/blog/google-ads-playbook): Learn how to operationalize natural language search to optimize advertising performance in the 2024 Google Ads Playbook.
- [Lily AI Co-Founder & CEO Recognized as A Top AI Leader in Retail for 2024](https://www.lily.ai/blog/top-ai-retail-leaders-2024): Lily AI Co-Founder and CEO Purva Gupta has been named one of RETHINK Retail’s 2024 Top AI Leaders in Retail, a list highlighting 150 leaders across 10 retail categories.
- [5 Shoptalk Fall Sessions We’re Most Excited to See](https://www.lily.ai/blog/5-shoptalk-fall-sessions): The Lily AI team will be at Shoptalk Fall in Chicago, hosting meetings at booth J44. Beyond our booth presence, here are the five sessions we’re most excited to see.
- [How AI Connects With Consumers Shopping for the Holidays . . . Wherever They Are!](https://www.lily.ai/blog/consumers-shopping-for-the-holidays): Economic uncertainty and a shorter holiday season make 2024 feel faster-paced and unpredictable. Retailers cannot just remind holiday shoppers they exist; they have to inspire them.
- [Lily AI Joins the Inc. 5000](https://www.lily.ai/blog/lily-ai-inc-5000-2024): Lily AI has earned a spot on the 2024 Inc. 5000, recognizing our work transforming retail through AI-driven, customer-centric shopping experiences.
- [AI Index Deep Dive: Top 10 Fashion Brands](https://www.lily.ai/blog/retail-ai-top-10-fashion-brands): A peek at the top 10 fashion brands in the 2024 Retail AI Index, and the innovative ways they use AI to serve customers, boost personalization, and enhance internal processes.
- [The Inaugural Retail AI Index: Celebrating the Top 100 Brands and Retailers](https://www.lily.ai/blog/retail-ai-index-100-brands-retailers): The inaugural 2024 Retail AI Index, completed with Radii Group, ranks the top 100 brands and retailers and shows how AI is visibly reshaping apparel, footwear, beauty, and home.
- [2024 Retail AI Index](https://www.lily.ai/blog/2024-retail-ai-index): The inaugural 2024 Retail AI Index spotlights the top 100 retailers and brands that invest in AI with a greater purpose: to delight customers and create impact for their business.
- [Partner Spotlight: Algolia](https://www.lily.ai/blog/partner-spotlight-algolia): Algolia is the leader in search, and horizontal AI search solutions like Algolia work best when integrated with vertical AI search solutions like Lily AI. It's 1+1=5.
- [Food Beauty Trends: What’s On The Menu?](https://www.lily.ai/blog/food-beauty-trends-whats-on-the-menu): Many popular beauty trends of late are named after foods. We look at four food-focused trends that went viral on social media, and how beauty brands and retailers can capitalize on each.
- [Lily AI Techtalk demo presented at Shoptalk Europe by Lily AI President, Ahmed Naiem](https://www.lily.ai/blog/lily-ai-demo-shoptalk-europe-ahmed-naiem): Lily AI President Ahmed Naiem demonstrated how Lily is bringing humanity to shopping in Barcelona.
- [From Y3K to Indie Sleaze: Brat Summer’s 4 Key Fashion Trends](https://www.lily.ai/blog/brat-summer-fashion-trends-indie-sleaze-y3k): Charli XCX’s brat is a critical and commercial hit, and social media has run with it. Several of today’s hottest fashion trends now fall squarely into the brat summer aesthetic.
- [How to Harness the Natural Language of the Customer to Dominate The Present and Future of Search: Part 3](https://www.lily.ai/blog/natural-language-dominate-search): AI is changing the way people search and shop. Part 3 of our series on why rich product attributes in the language of the customer are critical to surviving and thriving.
- [Why Product Attributes Are Key to Dominating Search on Google, and Beyond: Part 2](https://www.lily.ai/blog/why-product-attributes-are-key-to-dominating-search-on-google-and-beyond-part-2): Search is changing thanks to AI, and almost all eyes are on Google. A look at the shifting search landscape and the evolving search and shopping habits behind it.
- [Results Your CFO Can Believe In: How Tapestry Is Winning With AI](https://www.lily.ai/blog/results-your-cfo-can-believe-in-how-tapestry-is-winning-with-ai): Discover the CFO-approved impact of Lily AI on Google Search with Tapestry’s Mandeep Bhatia and Lily AI President Ahmed Naiem.
- [The Blush Rush: How to Capitalize on 3 Blush Beauty Trends](https://www.lily.ai/blog/blush-beauty-trends-product-attributes): Blush is big: US prestige blush sales were up 60% in 2023. Three blush-focused beauty trends, the trendsetters driving them, and how to capitalize with product attribution.
- [Why Product Attributes Are Key to Dominating Google Shopping Ads: Part 1](https://www.lily.ai/blog/product-attributes-google-product-listing-ads): The ways people speak and shop evolve every day, and brands must keep up. How to nail customer-centric product attributes to connect with shoppers via Google Shopping Ads.
- [Tapestry Partners with Lily AI to Boost Traffic and Sales from Google Search](https://www.lily.ai/blog/tapestry-lily-ai-google-search): At CommerceNext 2024, Lily AI President Ahmed Naiem and Tapestry’s Mandeep Bhatia shared how Lily AI is helping Tapestry boost traffic and sales from Google Search.
- [Partner Spotlight: Bloomreach](https://www.lily.ai/blog/lily-ai-partner-bloomreach): Both Bloomreach and Lily AI are leaders in connecting consumers to products, so it's no wonder we have partnered to enhance ecommerce product discoverability.
- [Hot 2024 Summer Trends: Athleisure & Americana-Inspired Fashion Product Attributes](https://www.lily.ai/blog/athleisure-fashion-product-attributes): Retailers who sell athleisure can optimize product listings with athleisure-inspired attributes ahead of the 2024 Summer Games. A look at the season's hottest athletic-inspired trends.
- [Retail TouchPoints’ 40 Under 40: Sowmiya Chocka Narayanan Honored](https://www.lily.ai/blog/40-under-40-lily-ai-winner): Lily AI Co-Founder & CTO Sowmiya Chocka Narayanan has been honored as one of Retail TouchPoints' 40 Under 40, alongside professionals shaping the retail industry.
- [Shoptalk Europe: Bringing AI Solutions to Barcelona](https://www.lily.ai/blog/shoptalk-europe-bringing-retail-ai): This year’s Shoptalk Europe really put the “AI” in Spain. Lily AI took the stage twice to share how AI brings humanity to shopping.
- [Partner Spotlight: Microsoft](https://www.lily.ai/blog/microsoft-azure-marketplace-ai): For two years Lily AI has been part of the Microsoft Partner Network. Now its AI-powered product attribution is available to retailers through the Microsoft Azure Consumption Commitment program.
- [When Is the Right Time to Implement Product Content Optimization for Descriptions, Attributes, and Metadata?](https://www.lily.ai/blog/when-is-the-right-time-to-invest-in-product-content-optimization): It is always the right time to improve your product data. But re-platforming, piloting, or building in-house can make it feel otherwise, so here is a plan for every stage.
- [7 CommerceNext Sessions We’re Most Excited About](https://www.lily.ai/blog/commercenext-ai-sessions): The Lily AI team will be on stage at CommerceNext and hosting meetings at Kiosk #113. Here are the seven sessions and speakers we’re most excited to see.
- [How AI Is Fueling a Customer-Centricity Renaissance in Retail](https://www.lily.ai/blog/how-ai-is-fueling-a-customer-centricity-renaissance-in-retail): A RETHINK Retail webinar dissecting and quantifying the retail industry’s consumer expectation gap, with practical advice for harnessing AI to close the gap and grow sales.
- [Purva Gupta Honored as Ad Age Leading Women & Rising Star Awards](https://www.lily.ai/blog/purva-gupta-ad-age-leading-women): Lily AI Co-Founder and CEO Purva Gupta is among the 2024 Ad Age Leading Women honorees, celebrated for creating opportunity and driving transformation in marketing and advertising.
- [Purva Gupta, Lily AI Co-Founder and CEO, on Bloomberg Markets: The Close](https://www.lily.ai/blog/lily-ai-ceo-on-uniting-merchants-consumers-using-ai): Purva Gupta discusses the progress of AI technology accuracy in the retail space with Romaine Bostick on “Bloomberg Markets: The Close” on November 10th, 2023.
- [How J.Crew Uses AI To Delight Customers and Power Sales Growth](https://www.lily.ai/blog/how-j-crew-uses-ai-to-delight-customers-and-power-sales-growth): Recorded at CommerceNext 2023, J.Crew CTO Danielle Schmelkin and Lily AI CEO Purva Gupta discuss the practical applications of AI transforming e-commerce, merchandising, and marketing.
- [Shoptalk Europe: We’re Going Big in Barcelona!](https://www.lily.ai/blog/shoptalk-europe-lily-ai): Continuing our European expansion, our team is attending Shoptalk Europe to help retailers bring humanity to shopping. We'll be in the exhibit hall at Booth #C24.
- [The Ultimate Guide to Integrating Product Attributes, From Google Search to PIM](https://www.lily.ai/blog/product-attributes-implementation): Once you have customer-centric product attribution, you can apply that enriched detail across the retail value chain. Here are three ways our clients approach implementation.
- [How AI Is Fueling a Customer-Centricity Renaissance in Retail](https://www.lily.ai/blog/ai-customer-centricity-retail): Everyone’s been talking about customer-centricity for some time, but putting it into practice is incredibly difficult. AI is ushering in the customer-centricity Renaissance retailers need.
- [Purva Gupta Announced as an EY Entrepreneur Of The Year 2024 Bay Area Finalist!](https://www.lily.ai/blog/purva-gupta-announced-as-an-ey-entrepreneur-of-the-year-2024-bay-area-finalist): Lily AI Co-Founder and CEO Purva Gupta has been named an EY Entrepreneur Of The Year 2024 Bay Area finalist, among the region’s most innovative entrepreneurs.
- [Lily AI Welcomes Sean Storlie as VP of Product and Josh Weisman as VP of Solutions Engineering & Client Delivery](https://www.lily.ai/blog/lily-ai-welcomes-sean-storlie-as-vp-of-product-and-josh-weisman-as-vp-of-solutions-engineering-client-delivery): Sean Storlie joins Lily AI as Vice President of Product and Josh Weisman as Vice President of Solutions Engineering and Client Delivery, scaling up to meet demand after our Series B-1.
- [Wedding Brands and Retailers Say “I Do!” to Customer-Centric Product Attributes](https://www.lily.ai/blog/wedding-brands-retailers-lily-ai): Why Lily AI expanded its taxonomy to include bridal and groomsmen tags—plus the hottest 2024 trends in wedding fashion and beauty, and how retailers can capitalize on them.
- [3 Big Takeaways From Report On Gen AI Transforming Brand Experiences](https://www.lily.ai/blog/gen-ai-transforms-brand-experiences): An executive summary of Retail TouchPoints’ Tech Guide on how generative AI is transforming brand experiences at three stages of the buying journey: discovery, recommendation, and conversion.
- [2024 Met Gala Theme: A Helpful Guide for Retailers](https://www.lily.ai/blog/2024-met-gala-theme-guide-for-retailers): Fashion’s biggest night is a month away. We break down the 2024 Met Gala exhibit and dress code theme, plus three Spring/Summer trends retailers can capitalize on now.
- [The Dirty Truth About Clean Retail Data](https://www.lily.ai/blog/the-dirty-truth-about-clean-retail-data): Data is the lifeblood of AI, data science, and analysis, yet product data is rarely as clean as it needs to be. Missing, messy, and dirty data means garbage in, garbage out.
- [Lily AI Expands International Footprint, Starting in London](https://www.lily.ai/blog/lily-ai-uk-london-office): Lily AI is expanding its international presence further with a new London office, bringing its customer-centric product attribution platform to European markets.
- [Internationally-Inspired Trends: Travel Clothes, Greek Decor & Celestial Beauty](https://www.lily.ai/blog/travel-clothes-greek-decor-celestial): Travel is at the top of everyone's minds, and the trends our team is tracking across fashion, home, and beauty are inspired by international destinations.
- [Report: How AI Bridges the Retail Consumer Expectation Gap](https://www.lily.ai/blog/report-how-ai-meets-retail-consumer): Our report with RETHINK Retail surveyed over 1,000 North American consumers across fashion, home, and beauty to address the gaps between consumer expectations and what retailers deliver.
- [How New AI Strategies Are Helping Bridge the Consumer Expectation Gap](https://www.lily.ai/blog/new-ai-strategies-2): Discover surprising yet critical insights from Lily AI and RETHINK Retail’s groundbreaking survey of over 1,000 shoppers across fashion, home, and beauty.
- [Retail AI Experts On What Differentiates Lily AI’s Training Data and Why It Matters](https://www.lily.ai/blog/retail-ai-experts-training-data): Horizontal AI models trained on data scraped from the web miss retail-specific information and consumer behavior. A deeper look at Lily AI’s training data and why it matters.
- [Shoptalk Recap: Shoptalk or AI-talk?](https://www.lily.ai/blog/shoptalk-recap-shoptalk-or-ai-talk): Shoptalk or AI-talk? Vegas was a-buzz with everything retail-focused, and the biggest focus of retailers seemed to be artificial intelligence. Key takeaways from Shoptalk 2024.
- [Maximize Google Search Performance With New Lily AI Release](https://www.lily.ai/blog/maximize-google-search-performance): Search isn’t dead, but it is evolving. Lily AI has launched its most comprehensive SEO and SEM product attribution capabilities to maximize Google Search performance.
- [The Trends are In: What to Wear at Shoptalk 2024](https://www.lily.ai/blog/the-trends-are-in-what-to-wear-at-shoptalk-2024): The biggest trends in fashion, home, and beauty that the Lily AI team will be wearing at Shoptalk 2024 — from double denim and Barbiecore to Eclectic Grandpa and Quiet Luxury.
- [Trustworthy AI: What Makes—and Breaks—Consumer Confidence?](https://www.lily.ai/blog/trustworthy-ai-consumer-confidence): Consumers are wary of AI even as trust in the tech industry runs high. Here’s how to build consumer trust in AI, and how the right AI makes shoppers more confident in your brand.
- [eTail West Brings AI-Fueled, People-Focused Retail to the Forefront](https://www.lily.ai/blog/etail-west-brings-ai-fueled-people-focused-retail-to-the-forefront): eTail West is in full swing, and the Lily AI team was excited to see that its mission of bringing humanity to shopping was at the forefront of the event.
- [Lily AI + Shopify Integration: 3 Things You Can Do With Your Saved Time](https://www.lily.ai/blog/lily-ai-shopify-integration): With our new Shopify integration, brands and retailers can automatically export their product catalogs to Lily AI and receive their industry-leading product attributes in return.
- [AI Product Description Generator: 1 Dress, Described 3 Ways](https://www.lily.ai/blog/ai-product-description-generator): Lily AI's product description generator crafts copy custom-tailored to each retailer's voice. See how one white halter dress is described three very different ways.
- [How Can AI Boost Profitability for Retailers in Economic Uncertainty?](https://www.lily.ai/blog/ai-profitability-economic-uncertainty): Consumers are bracing for continued economic uncertainty, and tightening pursestrings hit retailers directly. Here is where AI’s retail promise lies.
- [The Ongoing Appeal of Y2K Trends in Beauty and Fashion](https://www.lily.ai/blog/y2k-trends-in-beauty-and-fashion): Several early aughts trends have hit the shelves and runways again. We dive into four of the season’s biggest Y2K trends in beauty and fashion, and how retailers can capitalize.
- [AI for Retailers: Its Impact on Merchandising Teams](https://www.lily.ai/blog/ai-for-retailers-merchandising): Merchandisers are hyper-focused on product sales and inventory productivity. AI-assisted product attribution makes that forecasting work more accurate and efficient than ever.
- [2024 Trends: Macro vs. Micro](https://www.lily.ai/blog/2024-trends-macro-vs-micro): Today’s trend cycles come and go faster than ever. We examine three hot micro-trends and their macro-trend counterparts across fashion, beauty, and home.
- [C-Suite Questions About AI Answered](https://www.lily.ai/blog/c-suite-questions-about-ai-answered): 55% of retail executives say they’ll invest in AI for marketing and 39% to enhance customer experiences. Answers to the cost, technology, and results questions the c-suite asks most.
- [Spring/Summer 2024 Trend Report](https://www.lily.ai/blog/spring-summer-2024-trend-report): Prepare for warmer weather and even hotter trends: Lily AI’s Spring/Summer 2024 Trends Report explores 5 macro-trends and 20 micro-trends expected to be consumer favorites.
- [Romantic Fashion: A Trend in Time for Valentine’s Day](https://www.lily.ai/blog/romantic-fashion-trends): With Valentine’s and Galentine’s Day approaching, Lily AI’s experts predict ultra-feminine, floral, and pretty looks. Here are four romantic fashion trends retailers should prepare for.
- [Winner: 2024 VIP Challenge Award](https://www.lily.ai/blog/winner-2024-vip-challenge-award): Lily AI has received the VIP Challenge Award from the Vendors in Partnership Awards, which recognize excellence and a willingness to transform from within to impact retail's future.
- [Meet Us At the Show in 2024](https://www.lily.ai/blog/meet-us-at-the-show-in-2024): The Lily AI team will be attending retail's premier conferences and trade shows in 2024, and we can't wait to meet you there. Let's not leave our meeting to chance.
- [Winner: Built In’s 2024 Best Places to Work](https://www.lily.ai/blog/winner-best-places-to-work-in-tech): Lily AI has been named one of Built In's Best Places to Work in 2024, honored among the 50 Best Startups to Work For in San Francisco.
- [AI-Generated Product Descriptions:Customer-Centric Content Generation for Retailers](https://www.lily.ai/blog/lily-ai-generated-product-descriptions): Product and marketing copy often leaves much to be desired: for brands and retailers the process is too manual and lacks data-driven precision.
- [Lily AI Welcomes James Beauchamp as Senior Vice President of Customer Success](https://www.lily.ai/blog/lily-ai-welcomes-james-beauchamp-as-senior-vice-president-of-customer-success): James Beauchamp has joined Lily AI’s executive team as its first Senior Vice President of Customer Success, reporting to President and Chief Revenue Officer Ahmed Naiem.
- [2024 Fashion Trends: Wellness](https://www.lily.ai/blog/2024-fashion-trends-wellness): Athleisure is a classic fashion staple, but in 2024 the theme steps forward into wellness. Three wellness-focused fashion trends, plus one big beauty trend.
- [Head of Digital: How to Work With AI in 2024](https://www.lily.ai/blog/work-with-ai-retail-cto-cio-teams): AI boomed in 2023 and is on pace to become essential in retail. Here is how it will change work across the teams that report to the Head of Digital.
- [How to Fast-Track AI Evaluation & Onboarding with Your Business Technology Team](https://www.lily.ai/blog/business-technology-ai-eval-onboarding): When implementing AI, effective collaboration with your Business Technology team is critical. How to convey business impact, ease of set-up, and high safety standards from the onset.
- [3 Research-Backed Ways AI Enhances Omnichannel Shopping](https://www.lily.ai/blog/retail-ai-omnichannel-shopping): In 2024, shopping must be personalized and seamless, weaving together online and offline. Three of retail’s biggest trends and how brands can harness AI to address them.
- [Lily AI’s 2023 Year In Review](https://www.lily.ai/blog/lily-ais-2023-year-in-review): 2023 was the breakout year for AI, and Lily AI kept pace with its momentum. A look back at the launches, awards, partnerships, and press coverage that defined our year.
- [2024 Retail Roadmap](https://www.lily.ai/blog/2024-retail-roadmap): The retailer's mission is to meet rising and shifting consumer expectations. This Retail Roadmap dives into on- and offline retail experiences and the industry's outlook as AI booms.
- [Key Takeaways from This Week’s Business of Fashion VOICES Conference and State of Fashion Report](https://www.lily.ai/blog/business-of-fashion-lily-ai): The Business of Fashion VOICES conference and the BoF and McKinsey State of Fashion 2024 report sent one clear message: AI is already well-integrated into the fashion industry.
- [How to Effectively Co-Champion Technology Investments with Your Data & Analytics Business Partners](https://www.lily.ai/blog/win-data-analytics-experts-lily-ai): Lily AI can significantly augment decision-making and operational efficiency, but championing it means conveying that potential to data and analytics professionals from the onset.
- [Capitalizing on the Mobile Shopping Experience with AI](https://www.lily.ai/blog/capitalizing-on-the-mobile-shopping-experience-with-ai-a-game-changer-for-retailers): As more and more online shopping happens via mobile, retailers have a unique opportunity to leverage AI to capitalize on the mobile shopping experience.
- [Lily AI & Bloomberg On AI and Bringing Humanity to Shopping](https://www.lily.ai/blog/lily-ai-bloomberg-shopping-retail-ai): Co-Founder and CEO Purva Gupta was featured on Bloomberg’s The Close. Three key takeaways on how Lily AI helps retailers think like their customers and drives 9-figure revenue lifts.
- [2023 Autumn/Winter Trend Report: Gen Z Special Edition](https://www.lily.ai/blog/2023-autumn-winter-trend-report-gen-z-special-edition): The Autumn/Winter season presents two trends that resonate with the Gen Z maximalist sensibility: Lagom Fields and Coquette Vamp. See how to turn that interest into sales.
- [The Estée Lauder Companies Name Lily AI The Winner of Its Open Innovation Challenge](https://www.lily.ai/blog/the-estee-lauder-companies-name-lily-ai-the-winner-of-its-open-innovation-challenge): Lily AI is the winner of The Estée Lauder Companies 2023 Open Innovation Challenge for Optimizing Product Discovery Experience.
- [2023 Autumn/Winter Trend Report: Millennials Special Edition](https://www.lily.ai/blog/2023-autumn-winter-trend-report-millennials-special-edition): Millennial Minimalist style centers on curated capsule wardrobes and staple pieces. Meet its two Autumn/Winter trends — Sturdy Comfort and Gilded Comfort — and how to operationalize them.
- [AI for the Holidays: Quick Wins and Long-Term Gains](https://www.lily.ai/blog/ai-for-the-holidays): There’s still time to implement fast, “low lift” AI before the holidays. Retail TouchPoints’ Alicia Esposito sat down with Lily AI’s co-founders to discuss how.
- [AI for the Holidays Webinar: 6 Key Takeaways](https://www.lily.ai/blog/ai-for-the-holidays-webinar-6-key-takeaways): Many retailers believe the window to test new technology closes by mid-October. Purva Gupta says it’s never too late, especially with AI. Six takeaways from our holiday webinar.
- [Autumn/Winter 2023 Trend Report](https://www.lily.ai/blog/autumn-winter-2023-trend-report-2): Discover the hottest Autumn/Winter 2023 fashion trends inspiring Gen Z and Millennial shoppers this season, and learn how brands and retailers can capitalize on these trends.
- [Putting ChatGPT to the Synonym Test](https://www.lily.ai/blog/putting-chatgpt-to-the-synonym-test): Large language models have earned admiration for their ability to generate human-like text, but they are not standalone solutions. We put ChatGPT to the test on product synonyms.
- [The Retailer’s Dilemma: Build Vs. Buy AI](https://www.lily.ai/blog/the-retailers-dilemma-build-vs-buy-ai): Retail CIOs and CTOs can build AI in-house, buy off-the-shelf software, or partner with vertical AI specialists. Here is the case for augmenting your existing technology investments.
- [Infographic: Customer-Speak, Engineered for Scale](https://www.lily.ai/blog/customer-speak-engineered-for-scale): The New York Times published a feature on Lily AI’s impact on retail. Here we demystify “consumer-speak,” our 20,000-word product taxonomy, and the scale we’ve reached to date.
- [Customer-Speak, Engineered for Scale](https://www.lily.ai/blog/customer-speak-engineered-for-scale-2): The New York Times published a feature on Lily AI’s impact on retail. Here we demystify the AI and quantify our scale, starting with “consumer-speak.”
- [How Vertical AI Transforms the Retail Value Chain](https://www.lily.ai/blog/how-vertical-ai-transforms-the-retail-value-chain): Vertical AI, purpose-built for retail, is revolutionizing every aspect of the retail value chain. See how the language of the consumer transforms make, market, and sell.
- [Don’t Let Q3 Code Freeze Hurt Your Chances for a Strong Q4 Holiday](https://www.lily.ai/blog/dont-let-q3-code-freeze-hurt-your-chances-for-a-strong-q4-holiday): The Q4 holiday rush is coming. Purpose-built vertical AI platforms let retailers still make Q3 investments that lift customer experience and operational efficiency.
- [How Vertical AI is Fueling the Next Wave of Retail Growth and Innovation](https://www.lily.ai/blog/why-purpose-built-ai-is-playing-a-pivotal-role-in-reshaping-the-future-of-retail-like-never-before): AI is driving a revolutionary transformation in retail marketing, merchandising, and operations — and purpose-built vertical AI is playing a pivotal role in reshaping the industry’s future.
- [How AI Is Revolutionizing Retail](https://www.lily.ai/blog/how-ai-is-revolutionizing-retail): Retail has an unquenchable thirst for innovation, and AI leads the pack. Why the next wave will come from vertical AI purpose-built for retail rather than horizontal AI.
- [How Bloomingdale’s Makes Site Search Convert With Enriched Product Data](https://www.lily.ai/blog/how-bloomingdales-makes-site-search-convert-with-enriched-product-data): Learn how Bloomingdale’s leverages enriched product data from Lily AI to drive an enhanced search experience.
- [Spring/Summer 2023 Trend Report](https://www.lily.ai/blog/spring-summer-2023-trend-report): Discover the hottest macro and micro fashion trends for Spring/Summer 2023, and learn how brands and retailers can capitalize on them for a more seamless shopping experience.
- [Macro Trend: Comfort](https://www.lily.ai/blog/macro-trend-comfort): Since 2000, few retail macro trends have been as pivotal as athleisure. Its seeds have blossomed into a whole new fashionably acceptable aesthetic: embracing comfort.
- [Retailer’s Guide: 7 Ways to Elevate the Customer Experience with AI-Powered Product Attribution](https://www.lily.ai/blog/https-www-lily-ai-retailers-guide-product-attribution): Learn how AI-powered product attribution can drive sales and build loyalty by transforming CX, Merchandising, Ecommerce, and Marketing!
- [2023 Spring/Summer Trend: Rosettes](https://www.lily.ai/blog/2023-spring-summer-trend-rosettes): Etsy’s 2023 wedding trends highlight rosettes, a delicate 3D floral detail, with searches for floral wedding dresses up 78%.
- [2023 Summer Edit: The Top Four Women’s Fashion Trends](https://www.lily.ai/blog/2023-summer-edit-the-top-four-womens-fashion-trends): According to extensive research by our domain team, the top four women’s fashion trends for Summer 2023 are Rosettes, Red, Raffia, and Mermaidcore. Let’s dive into all four.
- [2023 Spring/Summer Trend: Mermaidcore](https://www.lily.ai/blog/2023-spring-summer-trend-mermaidcore): The Mermaidcore trend blends whimsical, ethereal mermaid-inspired style with a Y2K revival, and it has surged alongside Disney's live-action The Little Mermaid.
- [2023 Spring/Summer Trend: Sheer](https://www.lily.ai/blog/2023-spring-summer-trend-sheer): Designers have long been drawn to the allure of sheer fabrics. The trend moved from the runway to the red carpet, and now it is making its way to retail.
- [Trend Attribution 101: Capitalizing on Cycles Sooner](https://www.lily.ai/blog/trend-attribution-101-capitalizing-on-cycles-sooner): It’s not enough to identify a trend. A look at the fads, mainstream, and classic trend cycles, and how AI-powered trend attribution makes current trends actionable today.
- [Lily Al Recommendations Increase RPV for Large Multi-Brand Retailer by +0.65%, Leading to Additional $20-30M in Incremental Demand](https://www.lily.ai/blog/ai-recommendations-increase-rpv-retailer): A large multi-brand specialty retailer’s recommendation engine couldn’t use granular product attributes. Layering on Lily AI lifted RPV 0.65% and $20-30M in incremental demand.
- [Quiet Luxury Part Deux](https://www.lily.ai/blog/quiet-luxury-part-deux): Quiet luxury, or “stealth wealth,” means understated design, subtle branding, and a focus on quality. A look at aspirational versus achievable quiet luxury.
- [The Hottest Trends from the 2023 Met Gala](https://www.lily.ai/blog/the-hottest-trends-from-the-2023-met-gala): This year's Costume Institute exhibition honored Karl Lagerfeld's career, and the Met Gala looks also integrated current trends that could be easily incorporated into everyday wear.
- [The Rise of Quiet Luxury](https://www.lily.ai/blog/quiet-luxury): The fashion industry has witnessed a trend toward quiet luxury: the discreet yet luxurious clothing of high-end brands, which exudes understated sophistication and refinement.
- [2023 Spring & Summer Shoppable Trends: Home Edition](https://www.lily.ai/blog/2023-spring-summer-shoppable-trends-home-edition): Spring is here, and shoppers are looking to the latest trends for inspiration. We've curated the hottest home furnishings and decor trends, plus how shoppers might be searching them.
- [thredUP Increases Sell-Through by 15% with Enriched Product Data from Lily AI](https://www.lily.ai/blog/thredup-increases-sell-through-by-15-with-enriched-product-data-from-lily-ai): With more than 100,000 items arriving every day from sellers’ closets, thredUP must categorize and tag products at tremendous scale.
- [2023 Spring & Summer Shoppable Trends: Women’s Fashion Edition](https://www.lily.ai/blog/top-spring-summer-2023-trends-fashion): Consumers are shopping Spring crochet, cargo, cut-out, and convertible pieces. A look at the mainstream trends and TikTok microtrends shaping women’s fashion in 2023.
- [Global Luxury Retailer Increases Relevant Results for Descriptive Searches By Up to 30x, Driving Incremental Revenue](https://www.lily.ai/blog/luxury-retailer-drives-revenue-descriptive-search-ai): A global luxury retailer used Lily AI's consumer-focused tags to augment on-site search, increasing relevant results for descriptive searches by up to 30x and driving incremental revenue.
- [Large Multi-Brand Retailer Boosts Product Discovery from On-site Search by 8.5%, Projecting to $22M Increase in Revenue Across Brands](https://www.lily.ai/blog/ai-product-discoverability): A large multi-brand specialty retailer struggled to make its extensive apparel catalog discoverable via on-site search, and turned to Lily AI’s product data enrichment platform.
- [Lily AI’s Fashion Product Taxonomy: What is Dark Academia?](https://www.lily.ai/blog/lily-ais-fashion-product-taxonomy-what-is-dark-academia): Dark Academia, the popular TikTok aesthetic, is one of the darkest trends in fashion: classic, minimalist, and edgy. What defines the look, and the product attributes that capture it.
- [Infographic: Home Decor and Harnessing Customer-Centric Home Product Attributes](https://www.lily.ai/blog/infographic-home-decor-and-harnessing-customer-centric-home-product-attributes): Shoppers sprucing up their homes won’t stick around if product discovery is frustrating. An AI-powered attribute taxonomy in the words consumers actually use boosts discovery.
- [Capturing Synonyms with Product Data Enrichment](https://www.lily.ai/blog/capturing-synonyms-with-product-data-enrichment): Shoppers search uniquely. Capturing synonyms through product data enrichment helps retailers ensure every customer finds what they want, no matter how they describe it.
- [Lily AI’s Fashion Product Taxonomy: What is Barbiecore?](https://www.lily.ai/blog/lily-ais-fashion-product-taxonomy-what-is-barbiecore): With pops of bright pink and bold fuchsia, Barbiecore is one of the hottest trends in fashion. Inspired by the upcoming live-action Barbie movie, it's time to think (hot) pink.
- [5 Ways AI Supercharges Site Search](https://www.lily.ai/blog/5-ways-lily-ai-will-supercharge-your-ecommerce-site-search-engine): Search bar shoppers are 2-3x more likely to make a purchase than shoppers who don't use it. Here are five ways AI supercharges your e-commerce site search engine.
- [Looking for More Zero-Party Data? You Probably Already Have It](https://www.lily.ai/blog/looking-for-more-zero-party-data-you-probably-already-have-it): Zero-party data, what a customer intentionally and proactively shares with a brand, has emerged as strategically important. Your site search queries are already a rich source of it.
- [4 Key Home Decor Styles to Unlock a Better Shopping Experience](https://www.lily.ai/blog/4-key-home-decor-styles-to-unlock-a-better-shopping-experience): Whether furnishing a first solo apartment, a college dorm, or a first home room by room, shopping for a home is a personal act — and there are plenty of decor styles to choose from.
- [4 More Top Home Decor Styles](https://www.lily.ai/blog/4-more-top-home-decor-styles): Shopping for a home is a personal act, and there are plenty of styles to choose from. A look at four more of the top home decor styles: Bohemian, French Country, Maximalism, and Shabby Chic.
- [4 Core Home Decor Styles](https://www.lily.ai/blog/4-core-home-decor-styles): Shopping for a home is a personal act, and one shoppers take very seriously. A look at four of the top home decor styles: Art Deco, Coastal, Hollywood Glam, and Minimalist.
- [Trend Identification and the Top Fall & Winter 2022 Trends](https://www.lily.ai/blog/trend-identification-and-the-top-fall-winter-2022-trends): Trend identification is a key part of every fashion, beauty, and home retailer’s journey. A look at how the trend cycle works, plus the top fall and winter 2022 trends.
- [A Q&A on Home Product Attribution with Lily AI’s Amy Chong](https://www.lily.ai/blog/a-qa-on-home-product-attribution-with-lily-ais-amy-chong): Lily AI Senior Styling Manager Amy Chong on how home products are attributed, how that differs from fashion, and the home decor trends circulating right now.
- [Boost Your Holiday AOS and RPV with Customer-Centered Product Attributes](https://www.lily.ai/blog/boost-your-holiday-aos-and-rpv-with-customer-centered-product-attributes): The holiday shopping rush is upon us, and there is still time to boost AOS, RPV, and your e-commerce strategy by adding customer-centered product attributes to your wish list.
- [The Power of Actionable Search Insights at Your Fingertips](https://www.lily.ai/blog/the-power-of-actionable-search-insights-at-your-fingertips): Out-of-the-box site search analytics are slow-moving and generic. Lily AI’s Search Analytics Dashboard helps retailers act on search trends through the lens of the consumer.
- [The Top Home Decor Styles](https://www.lily.ai/blog/the-top-home-decor-styles): Shopping for a home is a personal act, and one shoppers take very seriously. There are plenty of home decor styles to choose from, so let's look at some of the top ones.
- [How to Capitalize on Shoppers’ Search Diversity](https://www.lily.ai/blog/how-to-capitalize-on-shoppers-search-diversity): Every consumer has their own long-tail way to describe what they are looking for, yet this search diversity is barely acknowledged on a high percentage of e-commerce retail sites.
- [Build a Better Brand Initiative with Lily AI’s Taxonomy](https://www.lily.ai/blog/build-a-better-brand-initiative-with-lily-ais-taxonomy): Getting the right items out at the right time is a tricky art to master in retail. Lily AI's customizable taxonomy evolves to align with your brand initiatives, right on schedule.
- [Thrift the Look with Lily AI’s Fashion Product Attribution](https://www.lily.ai/blog/thrift-the-look-with-lily-ais-fashion-product-attribution): Online thrift shopping keeps growing, so for National Thrift Shop Day we’re sharing our top tips for making the most of resale in retail.
- [Product Discovery in the Influencer Age: How to Capitalize on Social Media Fads](https://www.lily.ai/blog/product-discovery-in-the-influencer-age-how-to-capitalize-on-social-media-fads): Influencer culture puts a heavy focus on Gen Z, whose buying power tops $140 billion. To capitalize on fast-moving social media fads, retailers must strengthen product discovery.
- [The Connection Between Fashion Merchandising and Product Attribution Data](https://www.lily.ai/blog/the-connection-between-fashion-merchandising-and-product-attribution-data): From the start of the runway to the finale on the shelf or search bar, fashion merchandising is a complex, interwoven system. Better item set-up with customer-centric AI helps.
- [The Importance of Empathy in Fashion Product Attribution](https://www.lily.ai/blog/the-importance-of-empathy-in-fashion-product-attribution): Shopping for a new outfit has not always been an experience that drives empathy. Finding an item that actually makes a shopper feel good can make all the difference.
- [Effective Product Attribution Q&A with Lily AI’s Sean Gouldson](https://www.lily.ai/blog/effective-product-attribution-qa-with-lily-ais-sean-gouldson): Lily AI Head of Presales Sean Gouldson on the nuts and bolts of product attribution: how it is applied at item set-up, what data retailers need to provide, and how tags evolve.
- [The Top 3 Tips for Transforming Product Discovery](https://www.lily.ai/blog/the-top-3-tips-for-transforming-product-discovery): Even with all the right products, you have a very real problem if shoppers can’t locate them. Our top three tips for transforming online product discovery.
- [Revolutionizing Retail with AI and Product Attribution Data](https://www.lily.ai/blog/revolutionizing-retail-with-ai-and-product-attribution-data): Retail’s transformation to digital is a revolution worth talking about. Here is how the industry has changed, particularly with the help of AI and product attribution data.
- [Afternoon Tea with SMEs: The Future of Search](https://www.lily.ai/blog/afternoon-tea-the-future-of-search): What's the future of search? How should brands and retailers think differently about AI-powered SEM and SEO today on Google and beyond? We asked the experts.
- [Afternoon Tea with SMEs: Moving at the Speed of AI to Win in Google Search](https://www.lily.ai/blog/retail-ai-google-search): Our experts James Beauchamp and Abhijit Shome discuss how retailers and brands should navigate the next eras of product discovery, Google Search and beyond.
- [Fashion Product Attribution and the Top 3 Style Trends for Summer 2022](https://www.lily.ai/blog/fashion-product-attribution-and-the-top-3-style-trends-for-summer-2022): New season, new style trends. Lily AI's in-house team of domain experts share their takeaways on three core women's apparel style trends for summer 2022.
- [6 Steps to E-Commerce Site Search That Converts](https://www.lily.ai/blog/6-steps-to-ecommerce-site-search-that-converts): When shoppers type a specific term into a retailer’s search bar, they too often meet irrelevant or blank results. This guide covers the challenges and six steps to better on-site search.
- [Bringing AI Science to the Art of Merchandising with Product Attribution Data](https://www.lily.ai/blog/bringing-ai-science-to-the-art-of-merchandising-with-product-attribution-data): Merchandising is both an art and a science, and there’s nothing to fear from the fusion of the two: together they help retailers boost revenue and move inventory faster.
- [How to Connect Shoppers to What They Want and Need with Customer-Centric Product Recommendations](https://www.lily.ai/blog/how-to-connect-shoppers-to-what-they-want-and-need-with-customer-centric-product-attributes): The right, relevant product recommendations are evergreen. Connecting shoppers to what they actually want and need, this month and every month after, is worth the extra effort.
- [The Top 6 Tips for Improving Site Search](https://www.lily.ai/blog/the-top-6-tips-for-improving-site-search): Search is where modern retail e-commerce begins. A look at the most common on-site search challenges, and a preview of our top six tips for overcoming them.
- [Boost Your Beauty Product Attribution: Part 1](https://www.lily.ai/blog/boost-your-beauty-product-attribution-part-one): Today’s beauty consumer knows exactly what they want. Part one of two on how Lily AI boosts site search, personalization potential, and SEO/SEM for beauty brands.
- [It’s Not Product Attribution Data OR Search – It’s Both](https://www.lily.ai/blog/its-not-product-attribution-data-or-search-its-both): Search is central to e-commerce, but swapping search vendors solves only half the problem. Without a robust product attribution taxonomy, it’s a costly cart with no horse.
- [The Cascading Challenge of Legacy, Out-of-the-Box Product Attributes](https://www.lily.ai/blog/the-cascading-challenge-of-legacy-out-of-the-box-product-attributes): “It’s the way we’ve always done it” is commerce’s most common excuse. Legacy, out-of-the-box product attributes start a cascading series of problems at item set-up.
- [Trend Identification: How Does it Build Customer Confidence?](https://www.lily.ai/blog/what-is-trend-identification-how-does-it-build-confidence-in-customer-relationships): Lily AI's domain experts understand trend cycles and where to find the latest directions in fashion, home, and beauty. Here's what trend identification is and the role it plays.
- [High-Conversion Shoppers Deserve a Seamless Search Experience](https://www.lily.ai/blog/high-conversion-shoppers-deserve-a-seamless-search-experience): Type a typical, specific search term into your favorite fashion site's search bar and you are met with a surprising amount of resistance. High-conversion shoppers deserve better.
- [Lily AI is Named Best Place to Work 2022 in the Bay Area, Based on Employee Reviews](https://www.lily.ai/blog/lily-ai-is-named-best-place-to-work-2022-in-the-bay-area-based-on-employee-reviews): Lily AI has been named to Comparably's 2022 Best Workplaces in the Bay Area list, based on employee feedback, and also won Comparably's 2022 Best Company Outlook award.
- [Customer Success at its Best: A Q&A with Lily AI’s Catherine O’Keefe](https://www.lily.ai/blog/customer-success-at-its-best-a-qa-with-lily-ais-catherine-okeefe): A Q&A with Senior Customer Success Manager Catherine O’Keefe on how Lily AI nurtures client relationships through the full lifecycle of its platform and services.
- [Infographic: What is Product Data Enrichment?](https://www.lily.ai/blog/infographic-what-is-product-data-enrichment): Today’s online shopper wants to be connected with exactly what they want, when they want it. Our infographic shows why enriched product data is now essential to the modern retail stack.
- [Product Attribution for Beauty Brands: A Q&A with Lily AI’s Joyce Lay](https://www.lily.ai/blog/customer-intent-for-beauty-brands-a-qa-with-lily-ais-joyce-lay): Joyce Lay, Lead Merchandise Analyst at Lily AI, on how beauty products differ from apparel and the challenges beauty brands face turning shopper intent into purchases.
- [7 to Stay, 1 to Go: Retail Trends in E-Commerce That Will Outlast the Pandemic](https://www.lily.ai/blog/7-to-stay-1-to-go-retail-trends-in-ecommerce-that-will-outlast-the-pandemic): Multiple pandemic-driven changes in retail trends are here to stay, though not every trend has staying power. A look at eight e-commerce trends, and which ones will last.
- [3 Reasons Why E-Commerce Product Recommendations & Personalization Have Never Been More Pressing](https://www.lily.ai/blog/ecommerce-product-recommendations): Two years into the pandemic, we've learned why e-commerce success is tied to strong product recommendations, online personalization, and rock-solid demand forecasting.
- [How Customer-Centric Product Attributes Help Mitigate the Supply Chain Crunch](https://www.lily.ai/blog/how-granular-product-attributes-help-mitigate-the-supply-chain-crunch): The pandemic and the associated supply chain crunch exposed how many retailers still use historical data to forecast demand. So, can better product attribution data save the day?
- [Human-Powered Product Taxonomies: An Interview with Lily AI’s Kathy Lee](https://www.lily.ai/blog/human-powered-product-taxonomies-an-interview-with-lily-ais-kathy-lee): Lily AI’s Kathy Lee on why product discovery became retail’s battleground, how our in-house styling team builds category taxonomies, and how stylists work with automation.
- [The Step-By-Step Guide to Using Enhanced Product Attribution Data](https://www.lily.ai/blog/the-step-by-step-guide-to-using-enhanced-product-attribution-data): Retailers have underinvested in a critical area: their own product data. This guide covers seven ways to elevate the customer experience with AI-powered product attribution.
- [Visual Search: Thrift the Look On-Demand Webinar](https://www.lily.ai/blog/visual-search-in-2022-on-demand-webinar): How thredUP and Lily AI help shoppers “Thrift the Look,” and what it takes to make images shoppable and supercharge social commerce.
- [How Better Website Navigation Can Improve Your Customer Experience and Sales](https://www.lily.ai/blog/how-better-website-navigation-can-improve-your-customer-experience-and-sales): The average webpage visit lasts less than a minute. Whether you’re planning a new site or optimizing an existing one, here’s how to turn browsers into buyers with clear navigation.
- [Lily AI is Now Available on Microsoft Azure](https://www.lily.ai/blog/lily-ai-now-available-on-microsoft-azure-to-re-define-retail-ecommerce-with-ai-powered-customer-intent-platform): Lily AI's product attributes platform is now hosted on Microsoft Azure and available through the Azure Marketplace and Microsoft AppSource.
- [Why Product Data is Key to Your Search Engine Marketing and Optimization](https://www.lily.ai/blog/why-product-data-is-key-to-your-search-engine-marketing-solution): More product data, and more granular product data, is simply better. Five ways customer-centric product attributes can inform your search engine marketing solution.

## Press
- [Purva Gupta named an EY Entrepreneur Of The Year 2024 Bay Area finalist](https://www.lily.ai/press/ey-entrepreneur-of-the-year-2024-finalist): Lily AI Co-Founder and CEO Purva Gupta was named a finalist for the EY Entrepreneur Of The Year 2024 Bay Area award.
- [Lily AI closes $25M Series B to bring the language of the customer across the retail value chain](https://www.lily.ai/press/series-b-announcement): Lily AI announced the close of its Series B financing round, with participation from Canaan Partners, Conductive Ventures, Sorenson Ventures and NEA, to bring the language of the customer across the entire retail value chain.
- [Retail tech start-up Lily AI secures $25 million Series B financing](https://www.lily.ai/press/series-b-funding-wwd): WWD reports on Lily AI's $25 million Series B round and its plans to expand across mid-market retail, home and beauty, and into the U.K. and Europe.

## FAQs
- [What is Lily Max?](https://www.lily.ai/faqs/what-is-lily-max)
- [What is Lily AI?](https://www.lily.ai/faqs/what-is-lily-ai)
- [What is agentic product intelligence?](https://www.lily.ai/faqs/what-is-agentic-product-intelligence)
- [How does Lily Max work?](https://www.lily.ai/faqs/how-does-lily-max-work)
- [Who is Lily Max for?](https://www.lily.ai/faqs/who-is-lily-max-for)
- [Which channels and surfaces does Lily Max support?](https://www.lily.ai/faqs/which-channels-and-surfaces-does-lily-max-support)
- [What does Lily do?](https://www.lily.ai/faqs/what-does-lily-do)
- [Which channels does Lily support?](https://www.lily.ai/faqs/which-channels-does-lily-support)
- [Is Lily a content generator or a feed manager?](https://www.lily.ai/faqs/is-lily-a-content-generator-or-a-feed-manager)
- [How much does Lily Max cost?](https://www.lily.ai/faqs/how-much-does-lily-max-cost)
- [How is Lily priced?](https://www.lily.ai/faqs/how-is-lily-priced)
- [Is there a free trial?](https://www.lily.ai/faqs/is-there-a-free-trial)
- [How is Lily different from a feed management tool or an agency?](https://www.lily.ai/faqs/how-is-lily-different-from-a-feed-management-tool-or-an-agen)
- [How is Lily different from AI visibility tools?](https://www.lily.ai/faqs/how-is-lily-different-from-ai-visibility-tools)
- [How is Lily different from agentic-commerce-only (ACO) tools?](https://www.lily.ai/faqs/how-is-lily-different-from-agentic-commerce-only-aco-tools)
- [What data does Lily need to get started?](https://www.lily.ai/faqs/what-data-does-lily-need-to-get-started)
- [How does Lily keep product intelligence accurate?](https://www.lily.ai/faqs/how-does-lily-keep-product-intelligence-accurate)
- [Do I keep control of my ad accounts and data?](https://www.lily.ai/faqs/do-i-keep-control-of-my-ad-accounts-and-data)
- [How does Lily prove the results are real?](https://www.lily.ai/faqs/how-does-lily-prove-the-results-are-real)
- [Can Lily guarantee my products will appear in ChatGPT, AI Overviews, or other AI assistants?](https://www.lily.ai/faqs/can-lily-guarantee-my-products-will-appear-in-chatgpt-ai-ove)
- [Can I measure revenue from AI-driven discovery?](https://www.lily.ai/faqs/can-i-measure-revenue-from-ai-driven-discovery)
- [Why does Lily say "the score is not the outcome"?](https://www.lily.ai/faqs/why-does-lily-say-the-score-is-not-the-outcome)
- [What kind of results do customers see?](https://www.lily.ai/faqs/what-kind-of-results-do-customers-see)
- [How long until I see impact?](https://www.lily.ai/faqs/how-long-until-i-see-impact)
- [Does Lily Max replace my existing tools or PIM?](https://www.lily.ai/faqs/does-lily-max-replace-my-existing-tools-or-pim)
- [How do I get started, and how soon will I see results?](https://www.lily.ai/faqs/how-do-i-get-started-and-how-soon-will-i-see-results)
- [How long does onboarding take?](https://www.lily.ai/faqs/how-long-does-onboarding-take)
- [How does Lily protect my data?](https://www.lily.ai/faqs/how-does-lily-protect-my-data)
- [Is my catalog or ad data ever shared or sold?](https://www.lily.ai/faqs/is-my-catalog-or-ad-data-ever-shared-or-sold)
- [Does Lily work for agencies managing multiple brands?](https://www.lily.ai/faqs/does-lily-work-for-agencies-managing-multiple-brands)
- [How do I partner with Lily as an agency?](https://www.lily.ai/faqs/how-do-i-partner-with-lily-as-an-agency)