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Description
Engage target customers through dynamic personalization and smart curation across every shopping interaction to boost revenue effectively. Utilize AI-driven personalized suggestions that not only enhance the customer experience but also guide shoppers towards their preferred products. Timely and relevant personalized emails can be triggered to ensure that customers receive the right information at the right moment. Adapt category and product listing pages in real-time, sorting items based on user behavior on the site for a tailored browsing experience. Leverage a Virtual Beauty Assistant to gather customer data, utilizing the insights from the “beauty fingerprint” to create hyper-personalized targeting strategies that foster loyalty and increase average order value. The menu and its dropdowns are customized to align with individual customer preferences, prioritizing items like cleansers for those who show interest. Offer comprehensive data insights accompanied by actionable visualizations to inform strategy. Present visitors with personalized product recommendations to alleviate choice paralysis and enhance their shopping journey. Additionally, tailor each landing page to reflect the unique tastes and needs of individual customers, ensuring a more engaging experience overall.
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
Magento
Salesforce Commerce Cloud
Shopify
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
Beauty Matching Engine
Country
United Kingdom
Website
www.beautymatchingengine.com/solutions
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