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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Recommend is an eCommerce personalization platform that delivers individualized, contextually relevant product recommendations.

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

Algonomy
Algonomy Campaign
Algonomy Discover
Algonomy Engage
Algonomy Find
Algonomy Real-time Customer Data Platform
Algonomy Social Proof Messaging
DeepRecs

Integrations

Algonomy
Algonomy Campaign
Algonomy Discover
Algonomy Engage
Algonomy Find
Algonomy Real-time Customer Data Platform
Algonomy Social Proof Messaging
DeepRecs

Pricing Details

No price information available.
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

Algonomy

Founded

2020

Country

United States

Website

algonomy.com/omnichannel-personalization/personalized-product-recommendations/

Vendor Details

Company Name

Sentient Information Systems

Founded

1991

Country

Netherlands

Website

www.sentient.nl/sentient-recommender

Product 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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