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Product Recommendations

General Information

Adobe Sensei supports several types of recommendation units to enhance the shopping experience and boost sales. These recommendation units are powered by AI and are designed to present relevant products to customers based on their behavior, preferences, and interactions on the site. Here are the primary types of recommendation units supported:

  1. Related Products:

    • These are items that are often purchased together or are relevant to the product currently being viewed. This helps in upselling and cross-selling products.

  2. Up-sell Products:

    • Recommendations for higher-end products compared to what the customer is currently viewing. This is aimed at encouraging customers to consider premium or more expensive alternatives.

  3. Cross-sell Products:

    • Suggestions for complementary products that can be added to the shopping cart. These typically appear during the checkout process to boost average order value.

  4. Personalized Recommendations:

    • Tailored product suggestions based on the individual user’s browsing and purchasing history. These are dynamically generated to match the unique preferences of each shopper.

  5. Trending Products:

    • Items that are currently popular among all shoppers. This can include bestsellers or products that are trending in specific categories.

  6. Recently Viewed:

    • Products that the user has recently looked at. This helps users quickly navigate back to items they have shown interest in but haven’t yet added to their cart or purchased.

  7. Most Viewed:

    • Products that have high view counts, indicating interest from other shoppers. This can entice users to explore popular products they might have missed.

  8. New Arrivals:

    • Latest products added to the catalog. This keeps customers informed about the newest offerings and can drive engagement with new inventory.

  9. Recommended for You:

    • Curated suggestions based on the user’s past interactions and preferences, aiming to provide a highly personalized shopping experience.

A complete list of recommendation units can be found here

Currently, the only way to access the repos in GitLab is by purchasing a Hyvä Enterprise license

Relevant External Documentation:

Configuration and Customization

How do I configure the product recommendations settings?

Configuration can be done via the Adobe Commerce admin panel.

On the Admin sidebar, go to Marketing > Promotions > Product Recommendations to display the Product Recommendations workspace.

Refer to the Adobe Commerce Docs for detailed instructions.

Frequently asked questions

How do these modules send event data back to Adobe Sensei?

The modules use the Data Services module to capture and send events such as product views and purchases back to Adobe Sensei for analysis.

Can I customize the appearance of recommendation units?

Yes, you can customize the appearance by modifying the overriding the frontend templates and classes provided by the modules.