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You can exclude items that are out of stock by adding a new Recommendation in the Recolize Tool. Select the “All Pages” URL and add the filter “Is item in stock = Yes”.

By default Recolize generates personalized product recommendations, i.e. they are automatically calculated to be the best products for the individual visitor. This works right from the start, that means after the installation you do not have to do anything for this to work.
But of course there are several ways you can influence the recommended items to be able to show pre-defined ones:

1. Go to My Recommendations > Add New Recommendation and configure a new recommendation configuration. Under point “5. Please Choose a Data Pool” you can choose between various options for the data pool:

1. Personalized (User-to-User): Automatically calculate the individual recommendations for your visitors based on other visitors. This is the default setting.
2. Cross-Sells (Item-to-Item): Automatically calculate the individual recommendations based on the current item.
3. Bestseller
4. Last Viewed Items
5. All Items: This data pool allows static item lists by additionally defining filters. Please select this one.

2. Now you can define the item filters under point “4. Please Define Your Filters”. For example you can limit the static item pool to certain SKUs or items with a price below 10 Euro and something like that.

Please note:
The number of shown articles in our carousel is currently set to 10 because we have made several experiments with our customers and this proved to be the ideal size.

Choose the filter in the tool according to the description in the right column. Then the filter can be added per drag & drop (click with the mouse, drag the element and drop it) to the filter combination box. After these steps your filter was successfully added.

You’ve created a specific filter configuration but the users still get recommended other products? If this is your problem then the personal recommendations of the current user don’t fit to your filter configuration.
If your filter configuration is very restrictive and no matching recommendations are contained in the user’s profile (e.g. the user is only interested in pants but your recommendation is configured to show only products with the category shoes) then the product recommendations of the next matching recommendation are offered. If none of the configured recommendations match for a user then the recommendations are generated by the Recolize Brain.