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Is there a Magento 2 recommendation engine?

Is there a Magento 2 recommendation engine?

We're running Magento CE, and Adobe's Adobe Sensei AI recommendation engine is only available for Magento EE users.

Is there any other (preferably free or low-cost) option? Some ecommerce sites, for example, are able to highlight things that a user might be interested in based on the person's browsing history on the site. https://router-net.com/ip/192-168-l-l

3 REPLIES 3

Re: Is there a Magento 2 recommendation engine?

There are products that can provide similar tools for providing personalized product recommendations, etc.

 

In terms of SaaS solutions, there are options like (listed alphabetically): HiConversion, InstantSearch+, Justuno, Klevu, Nosto, and Searchspring. Prices will certainly vary depending on the plan that you sign up for, etc. Different providers are stronger in different areas, like site search or exit intent popups to decrease cart abandonment. 

 

If you're looking for a simpler one-off extension, there are options that will allow you to set up automation around your related products, upsells, and cross-sells. Examples include:

 

https://marketplace.magento.com/aheadworks-module-automatic-related-products.html

https://marketplace.magento.com/amasty-mostviewed.html

 

Best of luck!

 

 

 

 

Re: Is there a Magento 2 recommendation engine?

this is an interesting topic for discussion. I've often wondered about content recommendations

Re: Is there a Magento 2 recommendation engine?

I like to read about personalized recommendation tools. I'm glad some interested users are trying to create something of their own to improve existing engines. Recently I came across a curious article. In this article https://variety.com/2020/digital/news/vody-stylehaul-stephanie-horbaczewski-jeremy-houghton-12348141... I read about a Vody algorithm. It will be trained to distinguish between likes and the duration of user views of specific content. And Vody will understand emotional message. That is, Vody will be able to read our comments about movies and books, and read emojis to make good recommendations.