Sentient RecommenderSentient Information Systems
|
||||||
Related Products
|
||||||
About
Turn your traffic data into actionable data. Store the browsing behaviors, classifying each user in similar behavior groups. Identify your users to reward, to motivate and to get back, as well as find out what are your best brands, categories and offers with high conversion potential. Start by offering a browsing history page, with products seen or purchased recently. Remind the latest abandoned products in the cart, which have never been bought. Last but not the least, do it for all users, even for anonymous and non-registered. AI leverages our predictive technology to deliver a personalized shopping experience. Display personalized product recommendations based on each shopper's preference and intent. Manage many recommendation campaigns, Experimenting different algorithms according to the purchasing process. Different algorithms are available to personalize the shopping experience among others affinity, based on browsing history and non-click behavior.
|
About
Quickly expanding product ranges and increasing individual choice options make it harder to pinpoint the personal taste of the consumer. The Sentient Recommender dives deep into that personal taste by analyzing the customer’s choices and recommending products that best fit their personal preferences. Recommender bases its insight in these personal preferences on a database that contains earlier choices by many other consumers. Conventional product recommendations are based on historical lending and sales data. “Customers that have borrowed this book have also looked at these titles”. The Sentient Recommender goes further than this, by interpreting the personal taste based on the unique combination of preferences. In this process, the popularity of choices plays an important role. Some choices are based on how well-known the products are, rather than the actual personal preference of the consumer.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Businesses in need of an eCommerce personalization platform to turn their traffic data into actionable data.
|
Audience
Businesses in need of a product recommendation engines solution
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
€49 per month
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationPredixit
Founded: 2015
Italy
en.predix.it/come-funziona-il-processo
|
Company InformationSentient Information Systems
Founded: 1991
Netherlands
www.sentient.nl/sentient-recommender
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
AWS Marketplace
Amazon Web Services (AWS)
eBay
|
||||||
|
|
|