What is BLOOMREACH DISCOVERY?

Features of Bloomreach Discovery

Let’s take a look at some of the advanced features of Bloomreach discovery.

AI-powered Semantic Search and Customizable Merchandising

• Semantic Understanding: Semantic Understanding is used by Bloomreach Search to understand the context of each inquiry. Traditional keyword-based search only returns literal word matches; semantic search employs NLP to discover matches on the query intent. For instance, since keyword-based search engines don't actually understand queries, they can't distinguish between terms like "dress shirt" and "shirt dress." This frequently leads to low search relevancy. Bloomreach semantic-powered algorithms can tell the difference effortlessly, leading to faster, relevant search results.

• Self-learning & Evolving Search Intelligence: Bloomreach Search is a sophisticated search technology that leverages a decade's worth of data and learning from shopper interactions on e-commerce sites. The platform adopts “Zero-day” learning, which means it doesn't need a ‘learning’ period before delivering effective search results.

Merchandising Dashboard (Product Grid Editor)

Source

The Product Grid Editor is the main visual merchandising tool on the Bloomreach dashboard. You can implement several merchandising actions like boost, bury, include, exclude, and more. Additionally, you have the option to see a preview of the results for a Category, Thematic Page, Search Query (Search Term), or Global level.

One way to find this tool is to navigate to “Search and Merchandising” at the leftmost part of the dashboard, click on “Site Search,” and then click on “Ranking rules.”

Pathways and Recommendations

To understand this concept better, Mike Zhadkevich, Head of Customer Growth at Bloomreach  “Pathways and Recs” Mini Masterclass, explains recommendations as an “algorithm that factors in customer behavior and reacts to that behavior.” He then explains a pathway as a;

“collection of items you can pivot off of…with a brand query, a search query, a categroyr query…rather than reacting to our customers and their behaviour, were reacting to our business and what our needs are…”

He goes on to say,

“The most important thing to think about within the context of both of these is, ‘what am I reacting to,” ‘Am I reacting to customer behaviour?…”

Both recommendations and pathways can be used to:

• Improve product discovery, 

• Increase conversions and drive revenue, 

• Increase basket size and AOV

• Add dynamic product recommendations related to content pages.

The pathways framework can be used with Bloomreach algorithms to create search and discovery experiences, such as an in-person kiosk or a dynamic window shopping display. 

This pathway feature is called "Pathways" by Bloomreach because it lets you recommend content and products to customers while also assisting them in exploring and learning about your offerings. 

To sum it up, recommendations are driven by behavioral indications such as views, purchases, and other interactions, while Pathways recollects products determined on the Bloomreach Intelligent Index built from your product feed and objectives established by you.

Automated SEO

Bloomreach’s focus on SEO makes it stand out among competitors, as most counterparts don’t consider it seriously.

• Long Tail Optimization: Bloomreach uses web indexing to learn how buyers find your products. 

• Link Structure: Bloomreach enhances SEO by creating links between pages with high and low rankings. Bloomreach equally links content that already exists with pages that are more relevant.

• High-Value Term Targeting with Thematic Pages: Bloomreach Discovery identifies lucrative keywords related to your products and automatically creates optimized pages for them. It takes the guesswork out of SEO by prioritizing profitable keywords and generating relevant content/pages.

Algorithm Weight Customizations

This feature gives e-commerce teams control over the ranking algorithms for search and category pages, allowing them to adjust the importance of specific signals. Customers are more likely to make purchases and develop brand trust when they are able to locate products that suit their demands.

LLM-based precision mode

Bloomreach's LLM-Based Precision Mode is a cutting-edge feature (one of their latest features) in their Discovery platform, aimed at revolutionizing the e-commerce search experience. Utilizing advanced machine learning algorithms, this mode enhances the relevance and precision of search recall sets, ensuring that users receive highly accurate results tailored to their specific queries and needs.

Visual Search

Bloomreach discovery enables e-commerce brands to implement visual search. With this, users can search with images instead of only words. Bloomreach visual search works like this: 

1. Upload intended image

2. Search the image

3. recommends relevant products from the catalog

Support

Based on user reviews, the Bloomreach support team is quite responsive and quick to respond to queries. Bloomreach has a ton of resources (docs, e-books, blogs, newsletters, etc)  to help you get a grasp of what the platform offers.

Pricing

Bloomreach offers a quote-based pricing system with no specific pricing plan. According to the website, pricing is “customized to the number of customers you serve, the size of your product catalog, and the number of events you execute.”

Some users say that Bloomreach's pricing is higher than that of its competitors.

WHAT DO USERS SAY?

Conclusion

One thing to love about Bloomreach Discovery is how it stands out as a strong and versatile solution for e-commerce businesses. Its AI conversational shopping technology is something I haven’t seen very much in other search solutions—but is very useful for more personalized vendor-buyer relationships. 

The platform's focus on SEO, customizable algorithms, and seamless integration with other tools also make it a valuable asset for any online retailer. Despite some initial learning curves and a higher pricing structure, Bloomreach's benefits make it a great choice for e-commerce enterprises.

To learn more about implementing a search and product discovery solution, feel free to reach out to us at Hamari Agency.