Added

Recommender Self‑Service

Luigi's Box Product Updates
3 months ago

We have exciting news regarding Recommender. We’re officially launching Recommender Self-Service for clients who want to start using and configuring it independently.

Customize individual recommenders to your needs without help

This new option allows you to customize the recommendation logic by setting the Recommender behavior using different predefined models. You can also use it to prepare the entire front end of a recommender and customize its appearance and placement on your website. It allows you to publish recommenders on your own.

Recommender includes 15 predefined models ready for use, but you can customize each to fit your needs with custom business rules and preferred product characteristics. Keep in mind that some of the recommender models are more complex and can take a couple of hours to train and learn to function properly.

You will always receive a notification whenever a recommender is published. Recommender Self-Service options are available under the Recommender tab in the Luigi’s Box application. Select Recommenders setup under the Settings option to get started.

Implementation options with Recommender Self-Service

Recommender self-service allows you to configure the front-end and back-end of any recommender. Back-end integration offers an example of an API request for your new recommender. Front-end integration lets you select the placement and input data via scripts and clickable wizards that are easy to use, even for non-tech users.

Appearance customization

Appearance customizations allow you to set the widget shape and product tile with a WYSIWYG editor, choose custom colors and styles, and more. All changes are visible in real-time in the appearance overview, and you can also see a live preview before you publish your new recommender.

How to get Recommender Self-Service

You can contact our support team to enable the Recommender Self-Service feature on your sites now. You can use Recommender Self-Service only to create and set up new recommenders at this time. The adjusting and editing features will be added as soon as possible.