Bloomreach Adds Behavior-Based Merchandising To Discovery
This enables users to merchandise based on behavioural or demographic attributes, such as hobbies, shopping habits, or style preferences, rather than just product attributes.
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Bloomreach, an ecommerce platform provider, has launched an artificial intelligence-driven, behaviour-based merchandising functionality within Bloomreach Discovery.
This enables users to merchandise based on behavioural or demographic attributes, such as hobbies, shopping habits, or style preferences, rather than just product attributes. As real-time segments personalise search results based on shoppers’ behavioural data, merchandisers can now marry that segmented personalisation with boosted products. As they see the product categories with which different customer segments interact, they can optimise product grids, boost products, and set rules that shape merchandising strategies accordingly.
Real-time segments are powered by Bloomreach’s Customer Data Engine, which ingests both existing customer data profiles and real-time behaviour. 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.
“We’re continuing to innovate with merchandisers at the forefront of our strategy,” said Jordan Roper, general manager and head of product for Bloomreach Discovery, in a statement. “Real-time segments introduced a level of scaled personalization that e-commerce search had never seen before. And now with the added functionality of behavioural-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 optimise the ecommerce experience.”
