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Lily AI

lily.ai

Founded Year

2015

Stage

Series B | Alive

Total Raised

$39.5M

Last Raised

$25M | 1 yr ago

About Lily AI

Lily AI develops customer engagement artificial intelligence (AI) for the fashion retail industry. It combines deep product tagging with deep psychographic analysis to determine the active state of mind of each shopper and turns that into timely personalized interactions. The company was founded in 2015 and is based in Mountain View, California.

Headquarters Location

800 West El Camino Real Suite 180

Mountain View, California, 94040,

United States

650-268-8383

Lily AI's Product Videos

ESPs containing Lily AI

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Marketing & Ad Tech

Companies in this market help personalize online search results and product recommendations.

Lily AI named as Challenger among 15 other companies, including Bloomreach, Vue.ai, and Algolia.

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Lily AI's Products & Differentiators

    Product Attributes Platform

    Delivers transformative business impact at scale, not small improvements.

Expert Collections containing Lily AI

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Lily AI is included in 8 Expert Collections, including E-Commerce.

E

E-Commerce

10,542 items

M

Market Research & Consumer Insights

717 items

This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.

A

Artificial Intelligence

10,624 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

C

Conference Exhibitors

5,302 items

C

Customer Service Tech

704 items

Companies offering technology-driven solutions for brands and retailers to enable customer service before, during, and after in-store and online shopping.

T

Targeted Marketing Tech

446 items

This Collection includes companies building technology that enables marketing teams to identify, reach, and engage with consumers seamlessly across channels.

Latest Lily AI News

AI in Fashion Global Market Report 2023: Growing Influence of Social Media on the Fashion Industry Fuels the Sector

Apr 28, 2023

News provided by Share this article Share this article This report provides strategists, marketers and senior management with the critical information they need to assess the market. The global AI in fashion market grew from $0.65 billion in 2022 to $0.91 billion in 2023 at a compound annual growth rate (CAGR) of 40.0%. The AI in fashion market is expected to grow to $3.72 billion in 2027 at a CAGR of 42.0%. Major players in the ai in fashion market are Microsoft, IBM, AWS, SAP, Facebook, Adobe, Oracle, Catchoom, Huawei, Wide Eyes, FindMine, Intelistyle, Lily AI, Pttrns.ai, Syte, mode.ai, Stitch Fix, and Alphabet Inc., (Google). Reasons to Purchase Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies. Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates. Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market. Measure the impact of high global inflation on market growth. Create regional and country strategies on the basis of local data and analysis. Identify growth segments for investment. Outperform competitors using forecast data and the drivers and trends shaping the market. Understand customers based on the latest market shares. Benchmark performance against key competitors. Suitable for supporting your internal and external presentations with reliable high quality data and analysis AI-in fashion refers to an advisor that is being used to recommend clothes based on the customer's height, weight, shape, and current size. AI in fashion is used in product recommendation, product search and discovery, supply chain management and demand planning, creative designing and trend forecasting, customer relationship management, virtual assistant, others. The main types of AI in fashion are apparels, accessories, footwear, beauty and cosmetics, jewelry. Apparels refer to clothing or outer garments. They are deployed on cloud, on-premise using components such as solution, services. The applications of these are customer relationship management, virtual assistants, product recommendation, product search and discovery, supply chain management and demand forecasting, creative designing and trend forecasting used across various industries such as fashion designers, fashion stores. Machine learning are shaping the AI in fashion market. Machine learning is a part of artificial intelligence which defines the capabilities of the machine to copy human behavior. A machine can understand visualize and perform an action that helps in providing better information and suggestions to customers according to their behavior. For instance, in April 2021, Tommy Hilfiger, a renowned designer fashion brand applied machine-learning tools for product images of 15,000, and 600,000 publicly available runway images, and almost 100,000 fabric patterns sites. The applied AI gave insights into trending colors, and patterns, silhouettes to Tommy Hilfiger's style. In September 2021, Syte company, an Israel-based software development company acquired Slyce for an undisclosed amount. Through this acquisition, Syte wants to expand its market in North America and support new and old clients. Slyce, is a US-based visual search company that has integrated apps and website technology for more than 60 retailers. North America was the largest region in the AI in fashion market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in AI in fashion report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the AI in fashion market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The growing influence of social media on the fashion industry is driving the growth of AI in fashion market. Social media is a primary source of information for the fashion industry as there are many opinions and information from all sources globally. Fashion today is mainly dependent on brand promotion and fashion influencers that use social media to communicate their views on fashion. For instance, according to influencer marketing hub, a social media resource for influencers, the marketing influencer market grew from $ 9.7 billion in 2020 to $ 13.8 billion in 2021. The increasing popularity of short video formats on platforms like TikTok, Facebook, and YouTube, as well as the impact of the global pandemic on consumers, which catalyzed social media consumption, and the optimization of data collection, which marketers used for social media ads, are all contributing to this growth. Such growing influence of social media is driving the growth of the market. The AI-in fashion market includes revenues earned by entities by providing services such as trend forecasting, creating better fit, and authenticating items to prevent knockoffs, streamlining, and manufacturing, reducing returns. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. Key Topics Covered: 3. AI in Fashion Market Trends And Strategies 4. AI in Fashion Market - Macro Economic Scenario 4.1 COVID-19 Impact On AI in Fashion Market 4.2 Ukraine-Russia War Impact On AI in Fashion Market 4.3 Impact Of High Inflation On AI in Fashion Market 5. AI in Fashion Market Size And Growth 5.1. Global AI in Fashion Historic Market, 2017-2022, $ Billion 5.1.1. Drivers Of The Market 5.1.2. Restraints On The Market 5.2. Global AI in Fashion Forecast Market, 2022-2027F, 2032F, $ Billion 5.2.1. Drivers Of The Market 5.2.2. Restraints On the Market 6. AI in Fashion Market Segmentation 6.1. Global AI in Fashion Market, Segmentation By Category, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion Apparels Creative Designing and Trend Forecasting 6.5. Global AI in Fashion Market, Segmentation By End Users, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion Fashion Designers 7. AI in Fashion Market Regional And Country Analysis 7.1. Global AI in Fashion Market, Split By Region, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion 7.2. Global AI in Fashion Market, Split By Country, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion For more information about this report visit https://www.researchandmarkets.com/r/cquymu About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Media Contact:

Lily AI Frequently Asked Questions (FAQ)

  • When was Lily AI founded?

    Lily AI was founded in 2015.

  • Where is Lily AI's headquarters?

    Lily AI's headquarters is located at 800 West El Camino Real, Mountain View.

  • What is Lily AI's latest funding round?

    Lily AI's latest funding round is Series B.

  • How much did Lily AI raise?

    Lily AI raised a total of $39.5M.

  • Who are the investors of Lily AI?

    Investors of Lily AI include New Enterprise Associates, Canaan Partners, Conductive Ventures, Sorenson Ventures, Unshackled Ventures and 13 more.

  • Who are Lily AI's competitors?

    Competitors of Lily AI include ForMotiv, Vue.ai, Syte, Bellwethr, Klaviyo and 15 more.

  • What products does Lily AI offer?

    Lily AI's products include Product Attributes Platform and 3 more.

  • Who are Lily AI's customers?

    Customers of Lily AI include thredUP.

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Attentive

Attentive is a personalized mobile messaging platform that helps e-commerce and retail brands connect with consumers. Using real-time behavioral data, Attentive automatically sends engaging text messages to each subscriber - whether it's a cart abandonment reminder, a notice about an exclusive sale, or product recommendations.

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SendinBlue

SendinBlue provides a SaaS solution that enables B2B and B2C businesses, e-commerce sellers and agencies to build customer relationships through digital marketing campaigns, transactional messaging, and marketing automation. Through its customizable suite of digital marketing services, users can design, send and track integrated campaigns via email, SMS, and other advertising channels. The company was founded in 2012 and is based in Paris, France.

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Rokt

Rokt provides an algorithmic engine to help e-commerce marketers engage with and acquire customers by optimizing their journeys and monetizing underutilized portions of their websites. Its solutions include Rokt Ecommerce, a tool to increase revenue from websites, Rokt Ads, a tool to acquire customers at scale, and Rokt Calendar, a tool to grow engagement with Calendar Marketing. The company was founded in 2012 and is based in New York, New York.

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ActiveCampaign

ActiveCampaign helps businesses grow by strengthening their relationships with customers through utilizing a blend of automation and human touch. Companies are able to automate many behind-the-scene processes and communicate with customers across channels with personalized, intelligence-driven messages.

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Bluecore

Bluecore offers personalized retention emails for e-commerce firms. It automatically determines which emails to send in real time. It enables businesses to acquire, retain and grow their shopper base. It was founded in 2013 and is based in New York, New York.

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