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What is Qloo?

Qloo, known as the "Cultural AI," excels in interpreting and predicting global consumer preferences. This privacy-centric API offers insights into worldwide consumer trends, boasting a catalog of hundreds of millions of cultural entities. By leveraging a profound understanding of consumer behavior, our API delivers personalized insights and contextualized recommendations. We tap into a diverse dataset encompassing over 575 million individuals, locations, and objects. Our innovative technology enables users to look beyond mere trends, uncovering the intricate connections that shape individual tastes in their cultural environments. The extensive library includes a wide array of entities, such as brands, music, film, fashion, and notable figures. Results are generated in mere milliseconds and can be adjusted based on factors like regional influences and current popularity. This service is ideal for companies aiming to elevate their customer experience with superior data. Additionally, our premier recommendation API tailors results by analyzing demographics, preferences, cultural entities, geolocation, and relevant metadata to ensure accuracy and relevance.

What is ContextIQ?

Online shoppers are more inclined to engage with suggestions that align closely with their specific interests and requirements. By utilizing contextual targeting alongside behavior profiling, you can enhance their shopping experience significantly. Our advanced recommendation engine empowers you to tailor your content with remarkable accuracy. This level of personalization not only captivates your visitors but also fosters their ongoing engagement. As a result, the chances of converting these visitors into customers rise substantially the longer they navigate your website. Your eCommerce platform has the potential to assist customers in discovering unique and often overlooked products. Boost your sales figures by providing timely and intelligent product recommendations that resonate with users. Showcasing items and content that pique the user's interest is crucial, as only pertinent suggestions can captivate their attention, leading to meaningful interactions. ContextIQ serves as an efficient personalization tool that can be implemented swiftly. It leverages collaborative filtering algorithms to generate tailored recommendations, ensuring users receive relevant content through targeted behavioral insights. By optimizing these interactions, you can create a more compelling shopping experience that encourages repeat visits.

Media

Media

Integrations Supported

AWS AI Services
Adobe Advertising Cloud
Azure API Apps
ChatGPT
ChatGPT Plus
ChatGPT Pro
Google Ads
Hadoop
Mapbox
Salesforce
Snowflake
Tableau
TensorFlow
Xandr

Integrations Supported

AWS AI Services
Adobe Advertising Cloud
Azure API Apps
ChatGPT
ChatGPT Plus
ChatGPT Pro
Google Ads
Hadoop
Mapbox
Salesforce
Snowflake
Tableau
TensorFlow
Xandr

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Qloo

Date Founded

2012

Company Location

United States

Company Website

qloo.com

Company Facts

Organization Name

QBurst

Date Founded

2004

Company Location

United States

Company Website

www.qburst.com/en-us/products/contextiq/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Personalization

A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

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

Personalization

A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

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