As a part of managing your customers' Product discovery experience, with Bloomreach Recommendations, you can display recommended products powered by our AI-driven algorithms. Recommendations allow your customers to explore and discover more products resulting in more engagement, ATC, and conversions.

You can configure and manage the Recommendation widgets directly from the [Bloomreach Dashboard](🔗) without the need to make complex technical API-level changes. Using simple Dashboard operations, you can manage widgets end-to-end and use API calls only to override the default configuration if required.  

You can power your pages with easy merchandising options listed below: 

  • **Configuration and Management:** Recommendation widgets can be configured and managed end-to-end via the Bloomreach Dashboard without using the APIs. However, if you wish to override the default configuration, you must send an API request. 

  • **Switching context**: The widget configuration is kept lean so you can switch from one type of use case to another as and when required. For example, use the Frequently Viewed Together and Frequently Bought Together widgets interchangeably by making a simple modification via the Dashboard. 

# Recommendations Widget Types

The Recommendations Widget Types are given below:

Column Title
Widget typeDescription
1[Bestseller](🔗)Displays products that are likely to generate the most revenue.
2[Experience-Driven Recommendations](🔗)Displays highly targeted product recommendations by creating real-time user affinity profiles and understanding user intent by leveraging Bloomreach Search understanding as well as site browsing behavior.
3[Frequently bought together](🔗)Displays other products that are commonly bought together with a given product.
4[Frequently viewed together](🔗)Displays other products that are commonly viewed along with a given product.
5[Past Purchases](🔗)Displays previously purchased products to a logged-in customer to enable quick add-to-cart (ATC) for repeat purchases.
6[Recently Viewed Products](🔗)Display personalized product recommendations based on the user's past purchasing history, browsing behavior, and customer preferences.
7[Similar Products](🔗)Displays other products that are similar to a given product.
8[Trending Products](🔗)Displays products based on the most popular or trending products for a given time period.
9[Visual Search](🔗)Displays visually similar shoppable recommendations once the customer uploads an image.

# Where Can Recommendations Add Value?

Recommendations is a customized, unified solution that allows you to add widgets to the pages on your site as per your business needs. Some of them are listed below:

## Bestseller Products

You can promote the sale of products that are most commonly purchased by your customers. The algorithm uses a combination of RPV, ATCs, and Views in order to maximize revenue. Below is an example of a recommendation widget used for Bestseller.


## Experience-Driven Recommendations

The Experience-Driven Recommendations widget enables you to personalize the shopping experiences for your customers by leveraging the automatically generated real-time user profiles to deliver highly targeted product recommendations.

In addition to curating the recommendations based on historical data, the Experience-Driven Recommendation engine delivers a unique and optimal digital experience in real-time by rapid data aggregation and analysis of ongoing shopper's site visit.

It matches the visitor’s search and browsing activities with the attributes of the products they interact with, leveraging the data to build a _unique affinity profile_ for each individual in real time and **recommend products that have the highest chances of conversions** for the shoppers. 

Each user’s affinity profile is constantly refreshed with every interaction, providing unique insights into their preferences for specific colors, brands, sizes, categories, price ranges, or any such attribute present in the product.

## Frequently Bought Together

You can show products that are bought along with a specific product by adding a Frequently Bought Together widget on the Product page. Below is an example of a recommendation widget used for Frequently Bought Together. Visit [this](🔗) article to learn more.

## Frequently Viewed Together

You can build a recommendation experience for your users on your product details page to show products that are viewed along with the selected product by other customers. Below is an example of a recommendation widget used for Frequently Viewed Together. Visit [this](🔗) article to learn more.


## Past Purchases

The best way to **allow your logged-in customers to repeat a purchase** is by using the Past Purchases widgets that display products based on past purchase data. Below is an example of a recommendation widget used for Past Purchases.

## Recently Viewed Products

Recently Viewed Products Widget allows you to **display personalized product recommendations** based on the user's past purchasing history, browsing behavior, and customer preferences. This user-based widget enables you to re-engage and re-target shoppers who are actively browsing and searching for products on your site. Visit [this](🔗) article to learn more.

## Similar Products

You can increase the visibility of other products that are similar using the Similar Products widget. Given below is an example of a recommendation widget used for Similar Products. Visit [this](🔗) article to learn more.


## Trending Products Recommendations

In order to improve the shopping experience, and **increase end-user engagement and product conversions**, you can improve product discovery (outside search) by recommending popular products at a given time. This widget can be displayed on the Home page or globally. An example is given below.


A newly added algorithm to be displayed is cached in the client's browser local storage for 24 hours. If an algorithm is enabled, the user will either need to use incognito mode or clean their browser history for the last 24 hours. Else, the algorithm will be visible the next day (after 24 hours when the local storage will expire).

**How to Create these Experiences**

To create the above experience, follow these steps:

  1. **Integrate Recommendations and Pathways**: To learn how to integrate Recommendations and Pathways widgets, go to the [Integration Overview](🔗) page. 

  2. ** Configure widgets**: To learn how to create and manage widgets, go to [Widget Configurator](🔗) page. 

  3. **Merchandise Widgets as per business goals**: To learn how to set merchandising rules, go to [Merchandising Capabilities](🔗).