Bloomreach, the platform fueling limitless ecommerce personalization, today announced the launch of innovative Bloomreach Discovery features designed to maximize personalization in ecommerce product recommendations. With new visual recommendations, enhanced recommendation algorithms, and a revamped performance dashboard, Bloomreach customers can now further expand AI-driven personalization strategies. Leveraging more opportunities to connect customers with the products they want to buy, businesses will increase revenue-generating potential across the online shopping experience.
Fueled by Loomi, proprietary Bloomreach AI built specifically for ecommerce, Discovery is engineered to make product discovery both relevant for shoppers and profitable for businesses. Product recommendations not only provide shoppers with more intuitive ways to navigate large and complex product catalogs, but they are also a key driver of increased conversions. With new AI-powered ways to personalize and optimize this facet of the customer experience, merchandisers and business users can unlock limitless new growth opportunities.
The latest features and updates for Bloomreach Discovery’s recommendations include:
- Visual Recommendations: allows shoppers to click on different products in an image and receive visually similar product recommendations, creating a more streamlined shopping experience. This helps customers to ‘shop the look’ or find additional relevant options, replicating the in-person shopping experience where shoppers are not solely dependent on product descriptions. This feature drives increased conversions and engagement for the company.
- “More Like This” Algorithm Update: a cutting-edge algorithm that delivers highly precise product recommendations for English, French, and German faster than ever before. This update further personalizes the shopper experience across regions and encourages additional purchase opportunities.
- “Frequently Bought Together” Algorithm Update: incorporates both a shopper’s basket and session browsing data to provide more accurate product recommendations, addressing the ‘limited data availability’ challenges many merchandisers face in recommending frequently bought together items. This AI also has the ability to understand when co-bought items are, or are not, relevant for shoppers — for example, recommending a screen guard after a customer has added a phone to their cart, but knowing that a phone is not a logical recommendation when a customer is buying a screen guard.
- Enhanced Analytics Dashboard: which consolidates product recommendation data and performance metrics into a singular dashboard, making it easier for business users to understand customer insights and the effectiveness of their merchandising strategy.
“We’re thrilled to introduce these new features and upgrades to our Discovery customers, underscoring our commitment to advancing AI in commerce to generate exceptional shopper experiences,” stated Pratik Patel, Director of Product Management, AI and Search Recommendations, Bloomreach. “With over 15 years of leadership in product discovery, we’re eager to witness the ongoing evolution of our product recommendation capabilities and how they empower our customers to achieve superior business results.”
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