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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
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