Bloomreach, the AI company for personalization, announced new enhancements to its Loomi conversational agent, an AI shopping assistant that turns complex searches into guided shopping conversations. With an advanced new conversational engine and the ability to connect with third-party tools, the conversational agent now drives even more powerful experiences across the customer journey, remembering shopper preferences, reasoning through complex requests, fetching real customer reviews, and seamlessly guiding every individual from their first search straight to checkout.
Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia
“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 at Bloomreach.
With its new enhancements, the conversational agent is also taking on a critical new role as a feedback loop between brands and customers. Insights from the conversational agent will now be surfaced in a self-serve analytics dashboard for brands, allowing them to understand trending themes and questions, catalog gaps, and overall performance. These insights can help inform smarter ecommerce strategies, helping businesses identify where product descriptions or site navigation can be changed to better address how customers shop.
Marketing Technology News: Idle data is as good as no data
“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 at Bloomreach. “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.”
Enhanced Capabilities:
- Conversational Insights Dashboard: Turns conversational insights into a self-serve analytics suite. Businesses can understand trending themes and questions, catalog gaps, and overall performance, in addition to analyzing transcripts with AI-powered Q&A (“What information are shoppers having trouble finding?”).
- Advanced New Conversational Engine: Uses an all-new agentic architecture to deliver human-like responses, multi-step reasoning, complex query handling, and more — all governed by a brand’s existing merchandising rules and tone of voice.
- Connected Conversational Ecosystem: Creates end-to-end connectivity by integrating with third-party customer service tools, checkout providers, and review channels, offering shoppers a continuous, brand-controlled experience.
Together, these new capabilities deliver best-in-class conversations powered by an agentic engine that understands a brand’s merchandising rules, turns every conversation into actionable intelligence, and connects conversations to checkout, service, reviews, and more.
