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What is Lily AI?

Lily AI is revolutionizing the retail sector by embedding consumer-centric language throughout the entire shopping ecosystem, which leads to the optimization of technology investments and can result in revenue growth that surpasses nine figures. By translating qualitative attributes of products into a universally relevant, customer-focused mathematical language with unparalleled accuracy, Lily AI delivers an attribution level that is unmatched in the market. Upgrade your existing ecommerce platforms, search functionalities, product information management systems, and SEO/SEM strategies with the most extensive and precise product attribution data currently available, featuring over 20,000 attributes that are consistently expanding. This groundbreaking strategy not only enhances customer interaction but also equips businesses with powerful insights derived from rich data, enabling them to make strategic decisions that drive growth. In an era where data-driven choices are paramount, leveraging such innovative technology can set companies apart from their competitors.

What is Findologic?

An innovative search and navigation solution aimed at improving conversion rates for your online retail platform. Significantly enhance your on-site search efficiency with Findologic, which goes beyond traditional search techniques by adjusting outcomes dynamically based on user interactions rather than just keywords. Understanding visitor data is essential, as it allows retailers to develop strategic approaches and create captivating experiences that truly connect with their audience. Findologic leverages this information to build comprehensive profiles for each user, guaranteeing seamless and tailored customer interactions. With every interaction, Li.S.A. deepens its comprehension of user preferences, continuously refining its answers to meet their needs. Navigating through extensive data and deriving actionable insights swiftly can be daunting. Artificial intelligence presents a powerful answer, adeptly evaluating data and generating insightful results that elevate your offerings in real-time. Additionally, this agile methodology not only enhances customer satisfaction but also cultivates brand loyalty by delivering personalized experiences that encourage repeat visits, ensuring that customers feel valued and understood. Ultimately, the integration of such a system could significantly transform the landscape of e-commerce.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$938.99 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lily AI

Date Founded

2015

Company Location

United States

Company Website

www.lily.ai/

Company Facts

Organization Name

Findologic

Date Founded

2008

Company Location

Austria

Company Website

www.findologic.com/en/

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Popular Alternatives

Popular Alternatives

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