With our fresh release 5.4.0 it is now possible to configure the number of maximum recommended items per each recommendation configuration which allows for greater flexibility e.g. for showing simple recommendation lists.
This brand-new release brings you two useful enhancements for the recommendation configuration in the Recolize Tool:
On the one hand the recommendation list got a major upgrade so you can now sort, filter, search and paginate the configurations easily. Additionally also the data pool is displayed directly in the list.
On the other hand there is a new field on the recommendation configuration called “internal label” that you can use to distinguish different recommendation configurations, e.g. for 2 rules with the same title or just to add some useful information for your colleagues. This field cannot be seen by the end user of the recommendations and is only for display within the Recolize Tool.
With a new introduced configuration it is now easily possible to configure individually per each carousel, if articles in multiple recommendation widgets on the same page may be recommended twice or if every product can only occur once on each page.
Custom attributes in your article feed can now use also the comparison operators >, >=, <, <= to allow for more flexible filter rules.
We have improved the display of the recommendations to assure that the recommended items will always be delivered. Additionally we have fixed an issue with links redirecting to the home page for email recommendations in Outlook.
We have improved the user identification mechanism to better combine email and web recommendations. Additionally we made our release quality checks even better.
Another new release, another new features: our extensive filtering configuration in the Recolize Tool now also allows for context filters. Therewith you can e.g. create recommendation rules especially for people that are older than 18 or male or for sunny weather, and so on.
Have a look at our FAQ article How to use Context Filters to improve fashion recommendations for the chosen size of the user (or any other attribute)?
Big, big milestone for us: next to our web recommendations you can now use personalized product recommendations with Recolize also in your newsletters and transactional emails. Please see also our blog article Recolize Launches Exciting New Feature: Email Recommendations and the FAQ Is Recolize Usable in Emails?
We made some optimizations to the Shopify process for accepting the recurring application charge.
Psst, we made some preparations for our next big feature launch. But we can only tell you that it will be something big..
During setup we now kindly ask you for your telephone number in order to be able to call you for easier onboarding.
We now gracefully import demo data if your domain configuration contains a localhost domain, so that even in that case you are able to use Recolize.
Another huge milestone: we can now notify you via email if e.g. something with the import of your product feed or with delivering the recommendations went wrong.
Due to high demand by our customers, we now have a new data pool called “All Items” with that you can generate static product carousels. Please find more information in our FAQ article Which recommendation algorithms are supported?
Another new, outstanding feature are the domain-overlapping recommendations. Therewith you are now able to integrate product recommendations on your shop and in your blog and share the tracked data to generate even better recommendations.
We made the Shopify integration even simpler by automatically importing your products.
Username and password in the product feed url is now supported as well. This is useful if you e.g. have some test or staging domains where you want to test Recolize product recommendations first. Please find more information about this in the inline help in our Recolize Tool on the domain configuration page.
If a user adds something to his shop wishlist, this action now also influences the generated product recommendations.
Another awesome feature is our new data pools for bestsellers and last viewed items. For more information please see our FAQ post Which recommendation algorithms are supported?.
We achieved another huge performance improvement to deliver the recommendations even faster!
Next to our wonderful default carousel style we now also have a JSON API!
We improved the RSS product feed import by interpreting
When importing the product feed we now ignore if there are any SSL errors while fetching the feed.
Recolize can now import product feeds with currency information. Also we made some improvements for the performance of the recommendations.
After countless hours of codings sessions and discussions, blood, sweat and tears, we released the first version of our Software-as-a-Service Recolize. It is named 2.0.0 because we built this on top of our previous product: a recommendation extension solely for Magento 1.
For details see also our blog post We are live: Recolize Recommendation Engine.