Sentient RecommenderSentient Information Systems
|
||||||
Related Products
|
||||||
About
Hundreds of brands use Qubit CommerceAI to power the next generation of product recommendations, badging and insights to build exceptional customer experiences. Learn which products drive performance and which don't, through automated insights you can action. Qubit CommerceAI generates a model per shopper to make every customer interaction more relevant. Qubit fuses data, intent, and design tools to enable your team to create more effective customer experiences. By collaborating with real eCommerce teams we've built the next-gen personalization tool. No code. No clunkiness. The world's first customer-to-product recommendations engine, made possible with deep learning technology. Harness the power of our model-per-shopper technology and layer on business rules to create the most relevant product recommendations to date. Access the same recommendations technology that drives the unrivaled success of YouTube and Google.
|
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
eCommerce companies that want to personalize the shopping experience and offer product recommendations
|
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
No information available.
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 InformationQubit
Founded: 2010
United Kingdom
www.qubit.com
|
Company InformationSentient Information Systems
Founded: 1991
Netherlands
www.sentient.nl/sentient-recommender
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
BetterCommerce
BlueConic
Buenbit
Contentsquare
Decibel
Desktop.com
Lyftrondata
ROI Hunter
nToklo
|
Integrations
BetterCommerce
BlueConic
Buenbit
Contentsquare
Decibel
Desktop.com
Lyftrondata
ROI Hunter
nToklo
|
|||||
|
|
|