Bloomreach has enhanced its Loomi conversational agent with new AI capabilities to deliver personalised shopping experiences and actionable ecommerce insights.
Bloomreach, a personalisation platform provider, has enhanced its Loomi conversational agent with new AI capabilities designed to improve shopping experiences and help brands gain deeper insights into customer behaviour across the ecommerce journey.
With an advanced new conversational engine and the ability to connect with third-party tools, the conversational agent now delivers more powerful experiences across the customer journey by remembering shopper preferences, handling complex requests, retrieving customer reviews, and guiding customers from search to checkout.
“The brands winning today aren’t the ones with the most agents, they’re the ones with agents that actually understand their customers,” said Anirban Bardalaye, Chief Product Officer, Bloomreach.
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With its latest enhancements, the conversational agent also serves as a feedback loop between brands and customers. Insights from customer conversations are surfaced through a self-service analytics dashboard, enabling brands to identify trending themes, customer questions, catalogue gaps, and overall performance.
The insights help businesses refine product descriptions, improve site navigation, and better understand how customers search and shop.
“The brands winning today aren’t the ones with the most agents; they’re the ones with agents that actually understand their customers. With these enhancements to Loomi conversational agent, we’re giving brands the tools to turn every shopper interaction into something meaningful — a better answer, a smarter recommendation, a completed purchase, and a stronger relationship,” said Anirban Bardalaye, Chief Product Officer, Bloomreach.
Enhanced Capabilities:
The Conversational Insights Dashboard provides brands with a self-service analytics suite that highlights trending themes, customer questions, catalogue gaps, and overall conversational performance. Businesses can also analyse conversation transcripts using AI-powered queries to identify where shoppers struggle to find information.
The advanced conversational engine uses a new agentic architecture to deliver human-like responses, support multi-step reasoning, and handle complex customer queries while following a brand’s merchandising rules and tone of voice.
The connected conversational ecosystem integrates with third-party customer service, checkout, and review platforms, enabling seamless shopping experiences across the customer journey.
Together, these enhancements enable brands to deliver more personalised shopping experiences while turning customer conversations into actionable ecommerce insights.
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