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About

Recommend is an eCommerce personalization platform that delivers individualized, contextually relevant product recommendations using a library of 150+ pre-built recommendation strategies. It also empowers you to build and test custom personalization strategies with ease without having to depend on your data science team. Further, the platform offers merchandising controls to boost, restrict, or set manual rules to help you meet specific business objectives.

About

Making data science & machine learning have a real impact on organizations. We are an AI product studio, a group of 100 experienced data scientists and data engineers with a combination of experience both from the agile world of digital start-ups as well as major international corporations. We don’t end with nice slides and dashboards. The result that counts is an automated data solution in production integrated inside a real process. We do not report clickers but data scientists and data engineers. We have a strong focus on productionalizing data science solutions in the cloud with high standards of CI and automation. Building the greatest concentration of the smartest and most creative data scientists and engineers by being the most exciting and fulfilling place for them to work in Central Europe. Giving them the freedom to use our critical mass of expertise to find and iterate on the most promising data-driven opportunities, both for our clients and our own products.

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

Retail, ecommerce

Audience

Organizations interested in a data science and machine learning solution to generate profits and savings

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/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Algonomy
Founded: 2020
United States
algonomy.com/omnichannel-personalization/personalized-product-recommendations/

Company Information

DataSentics
Czech Republic
datasentics.com

Alternatives

Fredhopper

Fredhopper

Rezolve Ai

Alternatives

ContextIQ

ContextIQ

QBurst

Categories

Categories

eCommerce Personalization Features

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Integrations

Algonomy
Algonomy Campaign
Algonomy Discover
Algonomy Engage
Algonomy Find
Algonomy Real-time Customer Data Platform
Algonomy Social Proof Messaging
Amazon Web Services (AWS)
Databricks
DeepRecs
Microsoft 365
Microsoft Azure

Integrations

Algonomy
Algonomy Campaign
Algonomy Discover
Algonomy Engage
Algonomy Find
Algonomy Real-time Customer Data Platform
Algonomy Social Proof Messaging
Amazon Web Services (AWS)
Databricks
DeepRecs
Microsoft 365
Microsoft Azure
Claim Algonomy Recommend and update features and information
Claim Algonomy Recommend and update features and information
Claim DataSentics and update features and information
Claim DataSentics and update features and information