There’s a structural shift happening here, but most retailers are responding reactively, via single-purpose chatbots or AI assistants disconnected from the commerce logic that actually underpins their business. The question isn’t whether you have an AI shopping agent; it’s whether that agent runs on your rules or its own. Otherwise, it’s yet another fragmented channel with limited value.<\/p>\n\n\n\n Loomi Conversational Agent<\/a> is the focal point for end-to-end shopping experiences. Powered by Loomi AI<\/a>, our agentic platform, Loomi Conversational Agent ensures every interaction is informed by real-time data, and any new insights and optimizations are fed back in for continuous improvement.<\/p>\n\n\n\n This is done through three key capabilities:<\/p>\n\n\n\n Let’s dig into these in more detail.<\/p>\n\n\n\n This is the leap from chatbot to shopping expert.<\/p>\n\n\n\n Loomi Conversational Agent doesn’t just process what shoppers type \u2014 it understands what they mean. It reasons across your catalog, your content, and your merchandising logic to deliver answers that are natural, relevant, and ready to buy. The conversation feels less like talking to a bot and more like talking to someone who actually knows the brand.<\/p>\n\n\n\n A shopper asks, “What are the best waterproof hiking boots for wide feet under $150 that work in snow?” Loomi Conversational Agent doesn’t simply match keywords. It breaks down the intent, queries your catalog, and returns products ranked by the rules your merch team already set.<\/p>\n\n\n\n This results in recommendations your team would actually approve, delivered in a conversation that feels human.<\/p>\n\n\n\n The difference is that the AI isn’t a parallel system running on its own logic. It’s your merchandising playbook, expressed in a new interface \u2014 one that handles the complex, multi-intent questions your shoppers are already asking.<\/p>\n\n\n\n These conversations have already been proven to meaningfully move the needle on key business metrics. <\/p>\n\n\n\n Your search data shows you queries. Conversations show you intent \u2014 what shoppers are struggling to find, where they hesitate, what’s missing from the page at the moment of decision. And unlike surveys that capture maybe 10% of your audience, this is every conversation, every shopper, all the time.<\/p>\n\n\n\n That signal used to vanish into transcripts nobody had time to read. Our conversational insights change that with two capabilities designed to make it usable.<\/p>\n\n\n\n The insights dashboard is a self-serve analytics layer that shows you what’s happening across all your conversational interactions \u2014 in one place. See what’s trending, identify the catalog gaps your shoppers are revealing through their questions, and track how shoppers feel over time. The dashboard ties all of this to session-level and customer-level revenue lift, so you can connect conversational interactions directly to commercial outcomes.<\/p>\n\n\n\n This isn’t another analytics screen. It’s a net-new source of commercial intelligence built from real purchase conversations \u2014 not representative samples \u2014 at scale.<\/p>\n\n\n\n While the dashboard shows you the patterns, the transcript analyzer lets you interrogate them. It’s an AI-powered Q&A tool that lets you ask natural-language questions directly of your conversation data and get synthesized answers drawn from hundreds or thousands of real interactions (instead of a handful of manually reviewed transcripts).<\/p>\n\n\n\n This is where conversation data becomes client intelligence. For the first time, you can see exactly what customers are telling your AI shopping agent about your products, your policies, and their experience \u2014 questions, hesitations, objections, and preferences that never showed up in search logs, surveys, or analytics dashboards. That signal existed before only inside the conversation itself. Now it’s queryable.<\/p>\n\n\n\n Each answer comes back in seconds, grounded in real customer language \u2014 so you can update size guides, fix checkout friction, adjust policies, and prioritize catalog changes based on what customers actually say, not what you assumed they meant.<\/p>\n\n\n\n If hundreds of customers are telling the agent they’re nervous about return timelines, or confused about material differences between two products, you see that pattern and can act on it before it costs you another conversion.<\/p>\n\n\n\n Most AI shopping experiences break the moment a shopper needs something beyond product discovery. They find the right product, then ask about the return policy \u2014 and the conversation has nothing to say. They want reassurance from real buyers, and the agent can’t reference what anyone actually thought. They’re ready to purchase, and the experience sends them somewhere else to finish. The value built up over multiple turns of intent, narrowing, and confidence-building leaks out.<\/p>\n\n\n\n Loomi Conversational Agent doesn’t just connect to other systems \u2014 it orchestrates what happens next. At every turn, it evaluates where the conversation needs to go \u2014 keep answering from the catalog, pull in review content for social proof, route to a service agent, or hand off to checkout \u2014 and makes that call automatically, carrying full context forward every time. The shopper never starts over, and the intelligence never resets.<\/p>\n\n\n\n Each of the connections below is an example of that routing in action \ud83d\udc47 That orchestration is what turns a single conversation into a complete journey \u2014 from first question to completed order \u2014 instead of a dead-end chat.<\/p>\n\n\n\n Shoppers now expect to be able to use natural language to find exactly what they’re looking for. You don’t want to get left behind by only providing a search bar, but you also want to be careful not to offer frustrating or broken conversational experiences.<\/p>\n\n\n\n![\"Loomi](\"https:\/\/www.bloomreach.com\/wp-content\/uploads\/2026\/04\/image-1-1024x823.png\")
<\/figure>\n\n\n\nThe Loomi Conversational Agent Difference<\/h2>\n\n\n\n
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Best-in-Class Conversations<\/h3>\n\n\n\n
![\"Loomi](\"https:\/\/www.bloomreach.com\/wp-content\/uploads\/2026\/04\/image-2-1024x750.png\")
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Conversational Insights<\/h3>\n\n\n\n
The Insights Dashboard<\/h4>\n\n\n\n
![\"Insights](\"https:\/\/www.bloomreach.com\/wp-content\/uploads\/2026\/04\/image-3-1024x631.png\")
<\/figure>\n\n\n\nTranscript Analyzer<\/h4>\n\n\n\n
![\"Using](\"https:\/\/www.bloomreach.com\/wp-content\/uploads\/2026\/04\/image-7-1024x631.jpeg\")
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Conversational Ecosystem<\/h3>\n\n\n\n
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Start Driving Conversations That Convert With Bloomreach<\/h2>\n\n\n\n