Bloomreach, the platform fueling limitless e-commerce experiences, today announced a first-of-its-kind, AI-driven merchandising functionality within Bloomreach Discovery. As part of the company’s previously announced real-time segmentation feature, Bloomreach has now introduced behavioral-based merchandising. This offers users the ability to merchandise based on behavioral or demographic attributes — such as hobbies, shopping habits, or style preferences — rather than just product attributes. As real-time segments personalize search results based on shoppers’ behavioral data, merchandisers can now marry that segmented personalization with boosted products and rules that drive better business outcomes.
“We’re continuing to innovate with merchandisers at the forefront of our strategy,” said Jordan Roper, General Manager and Head of Product, Bloomreach Discovery. “Real-time segments introduced a level of scaled personalization that e-commerce search had never seen before. And now with the added functionality of behavioral-based merchandising, we’re giving merchandisers the power to take that personalization and make it even more impactful for their goals and KPIs. This is going to unlock even more ways for our merchandisers to optimize the e-commerce experience.”
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Real-time segments are powered by Bloomreach’s Customer Data Engine, which ingests both existing customer data profiles and real-time behavior. This enables the most in-depth customer understanding available in any e-commerce search solution on the market. The company’s AI for e-commerce, Loomi, uses this understanding to group customers into segments set by merchandisers, such as ‘high/low value,’ ‘luxury shopper,’ or ‘relaxed fit clothing.’ Loomi then adjusts search ranking results in real-time, ensuring customers continuously see relevant search results.
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With behavioral-based merchandising, merchandisers now gain even greater control over those results. Bloomreach Discovery users can merchandise against their segments to not only ensure greater relevance based on behavioral and demographic data, but also drive greater results for the business. As they see which product categories different customer segments interact with, they can optimize product grids, boost products, and set rules that shape merchandising strategies accordingly. Personalization meets optimization — resulting in faster revenue growth and better customer experiences.
