Conversational agent
What is Conversational agent
When shoppers can't find what they need or their questions go unanswered, they leave—and so does your revenue. Conversational agent opens a new avenue of product discovery, transforming the traditional shopping experience into a dynamic, guided journey.
As the first agentic AI assistant from Bloomreach, Conversational agent doesn’t just respond—it anticipates shopper needs, delivering real-time recommendations and expert product guidance when and where it’s needed.
Conversational agent engages shoppers, turning every interaction into a conversion opportunity. It removes friction, reduces cart abandonment, and maximizes revenue for your business.
How Conversational agent improves the shopping experience
Conversational agent combines AI, product data, and ecommerce insights to create a smoother shopping journey.
AI-driven and conversational
Conversational agent adapts to shopper behavior (clicks, views, and cart contents) and offers relevant, real-time support. Using advanced AI, Conversational agent provides intuitive, human-like conversations aligned with your business goals.
Engagement at the right time
Conversational agent reaches out when shoppers are most likely to need help, like when they hesitate at checkout or add items to their cart. Conversational agent offers relevant product recommendations and helpful insights to drive purchases.
Designed for ecommerce
Conversational agent uses your product data and general knowledge to provide accurate and helpful insights. This enhances product discovery, helping shoppers find what they need faster.
Key benefits for your business
Conversational agent delivers value in 4 ways.
Commercial growth
- Boosts conversions: Conversational agent answers questions and builds shopper confidence, encouraging purchases.
- Drives engagement: Interactive conversations invite shoppers to explore more products.
- Reduces cart abandonment: Conversational agent guides customers at critical moments to keep them on track.
See how Conversational agent improved conversion rates and revenue per visitor and reduced exit rates in the TGF case study.
Data collection and insights
- Actionable insights: Conversational agent tracks and analyzes every shopper interaction through transcripts, building a data set that helps optimize your products, services, and website.
- Data collection and personalization: Insights from Conversational agent interactions help tailor messaging, recommendations, and promotions.
Improve user experience
- 24/7 support: Conversational agent helps customers anytime, anywhere.
- Seamless navigation: Conversational agent guides customers from browsing to checkout with intuitive conversations.
Build brand loyalty
- Brand-aligned communication: Conversational agent speaks in your brand’s tone of voice, making it a natural extension of your brand.
- Beyond sales: Conversational agent builds lasting customer relationships, not just transactions. Conversational agent can engage returning customers with personalized check-ins, offering tailored advice based on past interactions. It can also assist with specific product-related questions, like sizing or compatibility, creating a consultative and engaging shopping experience beyond sales.
Technical specifications
- Available on the web (PC and mobile).
- Launched through weblayers, allowing full customization. You can even create your custom Conversational agent visuals.
NoteComing to App in H1 2026.
FAQs
Is Conversational agent a customer support assistant?
No, Conversational agent isn't a customer support assistant. It's a virtual shopping assistant designed to help you achieve your business goals, collect customer insights, and build brand loyalty. However, if a shopper asks a support question, Conversational agent can direct them to your support team.
How is Conversational agent different from traditional rule-based chatbots?
Unlike traditional chatbots, which follow strict rule sets, Conversational agent uses advanced AI to understand shopper intent and provide context-aware responses.
Related articles
- Conversational agent back office
- Conversational agent data
- Conversational agent data expiration
- Conversational agent performance evaluation
- Conversational agent integration
- Conversational agent use cases
Updated 3 days ago

