Key takeaways:
Commerce as conversation: The timeless way people buy
For thousands of years, commerce has been conversational.
From bazaars in ancient markets to salespeople in department stores, humans buy best when they talk, compare options, ask questions and get guided toward a decision. Our brains are wired to seek reassurance, context and help before buying.
Conversational commerce is simply commerce as conversation translated into the digital era, where messaging, chat, voice and, now, AI agents become the new shopfloor, showroom and trusted guide.
By tapping into the same social instincts that power human interaction, brands can recreate a guided selling experience in a scalable, automated way.
In this blog, discover how conversational commerce is evolving — and how your brand can take advantage of it to elevate customer experiences and increase revenue.
What is conversational commerce?
At its core, conversational commerce is the digitization of guided selling, allowing customers to interact with a brand through conversation rather than navigating menus, forms or product catalogs alone.
In practical terms, conversational commerce:
Replaces static browsing with interactive dialogue.
Clarifies customer intent in real time.
Guides shoppers from curiosity to decision to purchase.
It’s not just chatbots or live agents; it’s a holistic approach to making digital commerce feel human. A Juniper Research study estimates that by 2026, over 80% of eCommerce interactions will involve some form of conversational interface.
Conversational commerce is more than adding a chat box; it’s about shifting the experience paradigm from a transactional interface into a guided dialogue that feels more personalized, intuitive and efficient.
Moreover, a recent eCommerce study reports that 54% of organizations are using some form of chatbot or conversational AI and that these AI agents already handle 93% of customer questions on participating sites, implying that, where deployed, conversational interfaces cover the bulk of service interactions.
The types of conversational commerce
Conversational commerce comes in multiple forms, and it’s important to distinguish where the conversation happens: On third-party platforms (social apps, messaging networks, AI channels) or within brand-owned experiences. Each has its advantages and challenges.
These are conversations that happen on platforms the brand doesn’t fully own, such as:
Social messaging apps: WhatsApp, Facebook Messenger, Instagram DMs, WeChat.
Click-to-message ads: Ads that open a conversation directly in a messaging app.
Marketplace messaging: Chat interfaces inside marketplaces like Amazon or eBay.
AI chat platforms: ChatGPT, Claude, Bard and similar large language model (LLM)-powered environments where users can discover more about brands and products through conversations with AI agents.
Characteristics:
High reach and convenience: Customers are already on these platforms, so discovery is frictionless.
Lower control: Brands can’t fully dictate UI, data collection or long-term engagement.
Ease of setup: APIs, plugins or platform-specific skills allow quick deployment of conversational experiences.
Rapid experimentation: Brands can test product recommendations, promotions and conversational flows without full infrastructure investment.
Example: A fashion retailer integrates its product catalog into ChatGPT, allowing users to discover styles, ask questions and even receive purchase links — all without leaving the AI chat environment.
These are experiences hosted and fully controlled by the brand, such as:
On-site chat widgets and AI assistants embedded on eCommerce sites.
Mobile app chat and voice assistants.
Proprietary messaging or AI platforms built for direct customer engagement.
Characteristics:
Full control over UX and branding: Brands decide how conversations look, feel and flow.
Complete access to data: Enables personalized experiences, loyalty integration and richer analytics.
Integration with backend systems: Real-time inventory, pricing, promotions and fulfillment can be tied into conversations.
Proactive AI experiences: Agents can act autonomously, make recommendations and even complete purchases when authorized.
Example: The on-site AI assistant and mobile app chat of a beauty retailer allow customers to get beauty recommendations and purchase products directly, with a seamless link to loyalty programs and inventory.
Why conversational commerce matters
Conversational commerce delivers measurable business impact:
Customer acquisition and engagement: For first‑time shoppers, conversational AI has shown strong engagement impact with a significant share of AI‑driven sales coming from new customers rather than returning buyers.
Higher conversion rates: AI‑assisted interactions can increase conversions through personalized recommendations and real‑time guidance.
Revenue growth from guided experiences: Brands using conversational channels often see higher average order values because assistants can suggest cross‑sells and complementary products in context.
Operational efficiency and cost savings: Chatbots and automated workflows help companies reduce support costs while allowing human agents to focus on high‑value tasks.
24/7 availability: Conversational systems scale around the clock, meeting customers wherever they are with instant, contextual replies.
Actionable customer insights: Every conversation generates data about intent, preferences, friction points and behaviors, fueling deeper personalization and smarter strategy.
Reduced abandonment: Conversational reminders and personalized help can recover abandoned carts and keep customers moving toward purchase.
Conversational commerce in the agentic era
We are now stepping beyond reactive question‑response systems toward agentic commerce — where AI agents act on behalf of the buyer, not just respond to them. Agentic AI can:
Proactively offer tailored recommendations.
Autonomously compare options.
Complete purchases with minimal user friction.
Integrate inventories, pricing and contextual data.
This shift transforms conversational commerce into an execution engine rather than merely an interface. It’s no longer about answering “What size should I buy?”; it’s about making that decision based on data, context and intent — then executing it seamlessly.
Agentic commerce represents the evolution of commerce from guided support to guided action, and it’s already taking root in major retail initiatives.
The data suggests this shift is already underway:
73% of consumers are already using AI in their shopping journey and 70% say they are at least somewhat comfortable with an AI agent making purchases for them.
805% increase in traffic to US retail sites YoY from AI sources as consumers embraced generative AI chat services and browsers to find deals and research products.
Conversational commerce powered by agentic AI is making incredible strides, with retail giants such as Amazon boosting investments in agentic-powered shopping assistants to turn consumer interest into conversions faster.
Jumpstart your agentic commerce with commercetools
Agentic Jumpstart: is the fastest path to making your brand visible, shoppable and secure across AI channels:
For enterprises that aren’t yet using commercetools, our AgenticLift solution provides a quick-start toolkit to accelerate agentic efforts on their existing commerce infrastructure.
Key requirements for successful conversational commerce
Conversational commerce works only when the underlying systems, AI and strategy align. To deliver experiences that feel human, seamless and effective, brands need to meet several critical requirements:
A conversation is only as good as the data and systems it can access. Brands must break down silos across inventory, pricing, promotions, fulfillment and CRM to ensure that every recommendation, suggestion and purchase action is accurate and consistent.
Without a unified commerce platform, even the smartest AI will recommend unavailable products, show outdated prices or provide inconsistent messaging — instantly undermining trust.
Customers interact across social apps, brand-owned sites, messaging platforms and AI channels like ChatGPT. Maintaining consistent context and experience across all channels is critical. Shoppers should be able to start a conversation on WhatsApp, continue it on the website and complete a purchase on the mobile app without losing personalization or context.
commercetools Cora: The only context-aware solution for conversational commerce
When shoppers ask about a product, returns or shipping from one channel, commercetools Cora will continue the conversation across whichever channel shoppers choose next. No restarts or repetition for your customers.
This AI-native shopping companion connects every step of the customer journey, helping brands improve discovery, recover abandoned carts and ensure long-term loyalty.
Modern AI must do more than respond — it needs to act on behalf of the customer. Agentic AI can proactively recommend products, compare options and even complete purchases when authorized.
Integrating agentic AI with conversational systems ensures actions are reliable and informed by real-time data. This is what transforms conversational commerce from guided support into guided action.
Every interaction generates valuable insights about intent, preferences, friction points and behaviors.
Successful conversational commerce leverages this data-driven personalization to refine recommendations, improve automated workflows and continuously adapt experiences, turning every conversation into a learning opportunity.
Conversational systems collect vast amounts of personal data. Brands must ensure secure storage, GDPR/CCPA compliance and transparent privacy practices to maintain shopper trust. Even the most sophisticated AI experiences can fail if customers worry about data misuse.
Successful conversational commerce operates at scale and around the clock. Systems must handle spikes in demand, support multiple languages and handle high volumes of concurrent interactions while delivering fast and reliable responses that maintain the human-like quality of the conversation.
For conversational commerce to succeed, interactions must feel natural, relevant and trustworthy. Rigid scripts and generic replies quickly expose automation, breaking immersion and making the brand feel impersonal or unreliable. When conversations lack empathy, nuance or understanding, engagement drops and users disengage.
This makes engineering brand voice, tone and empathy into conversational systems a core requirement. Moving beyond traditional chatbots to AI agents is critical, as agents can understand intent, adapt responses dynamically and deliver conversations that feel less like software and more like a knowledgeable, attentive guide — building trust and driving meaningful commerce outcomes.
From chatbots to AI agents
Traditional chatbots respond to questions based on scripts or keywords, often missing out context and offering only reactive, transactional guidance
AI agents, by contrast, understand intent and can act proactively on behalf of the customer — turning conversation into seamless, goal-oriented commerce.
Want more information? Read the deep dive on chatbots vs. AI agents
.Conclusion: Conversations for conversions
Conversational commerce reflects a simple reality: People prefer to buy through conversation.
Shoppers have always relied on dialogue to understand products, compare options and build confidence before purchasing. Digital channels haven’t changed this behavior — they’ve scaled it, bringing guided and personalized interactions into messaging apps, AI assistants and agentic experiences where customers already are.
When done well, conversational commerce delivers real business impact. Brands that connect conversational experiences to unified commerce systems, design interactions around customer intent and enable AI to guide and act on behalf of shoppers make buying easier, faster and more natural.
Trust and reliability sit at the center of success. Brands that prioritize context-aware, well-integrated conversational systems create experiences customers trust, increasing conversions, revenue and loyalty.
Contact our experts to discover how to start your conversational commerce.
Manuela leads content strategy at commercetools. With over 20 years of experience in B2B SaaS, she writes about all things commerce by day and turns to fiction by night. She loves long walks, traveling, and, unsurprisingly, reading books.
