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features
design
support

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Description

Transform your traffic insights into strategic actions by categorizing users based on their browsing habits and behaviors. By grouping similar users, you can effectively identify those who deserve rewards, motivation, or a nudge to return, while also determining which brands, categories, and offers yield the highest conversion rates. Initiate the process by providing a browsing history feature, showcasing products that users have recently viewed or purchased. Additionally, remind them of items left in their cart that they haven't yet bought. Crucially, ensure that this approach encompasses all users, including those who are anonymous or unregistered. Utilizing advanced AI capabilities, you can enhance the shopping experience through personalized recommendations tailored to each shopper’s preferences and intentions. Furthermore, manage multiple recommendation campaigns by experimenting with various algorithms that align with the purchasing journey, tapping into numerous personalization strategies like affinity based on browsing and non-click behaviors. This comprehensive approach not only boosts engagement but also fosters a deeper connection with your customer base.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Amazon Web Services (AWS) Yes 
eBay Yes 

Integrations

AWS Marketplace No 
Amazon Web Services (AWS) No 
eBay No 

Pricing Details

€49 per month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Predixit

Founded

2015

Country

Italy

Website

en.predix.it/come-funziona-il-processo

Vendor Details

Company Name

Sentient Information Systems

Founded

1991

Country

Netherlands

Website

www.sentient.nl/sentient-recommender

Product Features

eCommerce Personalization

A/B Testing No 
Abandoned Cart Email No 
Dynamic Pricing No 
Offers & Discounts Notifications No 
Personalized Site Navigation No 
Product Recommendations No 
Reporting / Analytics No 
Social Insights No 

Alternatives

Alternatives

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