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What is Dialogue?

We analyze and understand the buying patterns of your clientele to deliver a uniquely customized experience throughout their online journey. This cutting-edge platform serves as a groundbreaking "Autonomous" solution for personalizing e-commerce, driven by Machine Learning and bolstered by a committed team of human experts. By employing a fully integrated strategy, we utilize your website's sales data to enhance and optimize each user interaction efficiently. The personalization engine works independently to showcase the most effective marketing campaigns while simultaneously generating new ones based on real performance data from your audience. It integrates seamlessly with your site, ensuring it resonates with your brand's distinct identity and voice. As customers navigate your online store, they reveal their preferences through their behavior, offering crucial insights into their desires. This ongoing feedback loop empowers us to continually refine and improve the shopping experience, making it more engaging and satisfactory for your customers. Ultimately, the aim is to foster a deeper connection between your brand and its audience.

What is Amazon Personalize?

Amazon Personalize enables developers to build applications that leverage the sophisticated machine learning technology behind Amazon.com’s real-time personalized recommendations, eliminating the need for specialized machine learning knowledge. This service streamlines the development of applications that can deliver a wide array of customized experiences, including personalized product recommendations, unique product rankings, and tailored marketing initiatives. As a completely managed machine learning solution, Amazon Personalize moves beyond conventional static recommendation systems by creating, refining, and deploying distinct ML models that yield highly specific recommendations across various industries, including retail, media, and entertainment. The platform efficiently manages the necessary infrastructure and oversees the entire machine learning process, which encompasses data processing, feature selection, and the identification of the best algorithms, along with model training, optimization, and hosting. This comprehensive approach allows developers to concentrate on improving user engagement rather than navigating the intricacies of machine learning deployment. Consequently, Amazon Personalize serves as a powerful tool that not only simplifies the recommendation process but also enhances customer satisfaction through more relevant interactions.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
HiConversion
Shopify
Webvar

Integrations Supported

AWS AI Services
AWS App Mesh
HiConversion
Shopify
Webvar

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

Dialogue

Company Location

Israel

Company Website

nowdialogue.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/personalize/

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

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