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ease
features
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support

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Description

Enhance your conversion rates and boost engagement while providing timely and relevant product suggestions through unique reinforcement learning features exclusive to Azure. By selecting key content, refining layouts, and tailoring offers with just two API requests, you can seamlessly implement these capabilities. The AI Personalizer, a component of Azure AI Services, serves as an independent personalization tool or as a supplement to your current ranking systems, requiring no prior machine learning knowledge. This allows you to deliver experiences that evolve with customer behavior, leading to improved click-through rates on homepages, the creation of personalized channels, or the fine-tuning of coupon offers and conditions. With the power of AI, you can identify what drives optimal results, ensuring you remain responsive to shifting trends in the market. Unlike traditional recommendation engines that provide a multitude of choices from an extensive catalog, AI Personalizer consistently delivers the top recommendation for each user interaction with your application. Integrating AI Personalizer is straightforward, requiring only two lines of code, and you can easily track prediction accuracy and make adjustments as necessary to enhance user experience continuously. As you leverage this advanced technology, your ability to connect with customers meaningfully will significantly increase, further solidifying your position in the competitive landscape.

Description

The rapid growth of product varieties and the increasing number of choices available complicate the task of identifying individual consumer tastes. The Sentient Recommender addresses this challenge by thoroughly examining each customer's selections and suggesting items that align closely with their unique preferences. This system draws its insights from a comprehensive database that includes the previous decisions of numerous other shoppers. Traditional recommendation systems rely primarily on past sales and borrowing patterns, such as “Customers who borrowed this book also explored these titles.” In contrast, the Sentient Recommender delves deeper, interpreting personal taste through a distinctive blend of preferences. A crucial aspect of this method is recognizing that the popularity of certain items influences consumer decisions, as some selections may be swayed more by a product’s notoriety than by genuine personal preference. By considering these dynamics, the Sentient Recommender aims to provide a more tailored and meaningful shopping experience for each user.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Services
Crestwood Cloud
Microsoft Azure

Integrations

Azure AI Services
Crestwood Cloud
Microsoft Azure

Pricing Details

$1 per 1,000 transactions
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-personalizer/

Vendor Details

Company Name

Sentient Information Systems

Founded

1991

Country

Netherlands

Website

www.sentient.nl/sentient-recommender

Product Features

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

Alternatives

ContextIQ Reviews

ContextIQ

QBurst

Alternatives