core insights box
- Conversational commerce combines AI and chat platforms to create interactive, personalized shopping experiences.
- It enhances customer engagement by offering real-time assistance and seamless transactions.
- Businesses can use conversational data to better understand customer preferences and build stronger relationships.
- Experro’s AI Conversational Agent helps brands turn every interaction into a guided shopping journey, blending AI, personalization, and checkout into one smooth, conversational experience.
“Hey Skara, help me find some diamond rings for my girlfriend.”
Then Skara shows a curated list of trending designs, compares prices, and even suggests matching bracelets, all within the same chat.
This is just one example of fashion conversational commerce, where customers chat, explore, and buy effortlessly through AI-powered interactions. But it doesn’t stop at fashion.
From retail to travel, conversational commerce is redefining how industries connect with customers, making shopping more personal and effortless than ever.
A research shows that 60% of brands consider private or direct messaging as essential to their customer service strategy.
Conversational commerce platforms are now helping businesses deliver these seamless, real-time experiences by turning every interaction into an opportunity to engage, assist, and convert.
This guide to conversational commerce explores how AI and chat platforms are transforming eCommerce experiences.
What is Conversational Commerce?
Conversational commerce definition - Conversational commerce is the use of AI, through chatbots, voice assistants, and other interactive mediums to deliver personalized, hands-free shopping experiences, allowing customers to browse, get personalized recommendations, ask questions, and purchase products in a chat without navigating a traditional website.
This method is excellent for getting quick answers, buying items quickly, and giving suggestions based on your customers’ preferences.
The more a business knows about what its customers buy and like (commerce data), the better these AI-driven personalized conversations can be.
One of the most amazing examples of conversational commerce podcast is by Stephanie Griffith and Matt Lady on Spotify. Their perspective towards this topic is insightful.
Why is Conversational Commerce Important?
Conversational commerce optimization enhances the digital customer experience by facilitating seamless interaction between businesses and customers. This is possible through chatbots and social messaging apps.
For example, if a retail store knows you love hiking, they can recommend outdoor gear when chatting with you online. This helps the conversation feel more personal and valuable to the customers.
So, the more a business knows about customers’ preferences, the more helpful and relevant their AI-driven conversations can be.
The importance of conversational commerce lies in its ability to improve engagement and sales for businesses. It makes shopping more convenient and tailored for consumers.
Experro’s AI Conversational Agent takes this further by combining AI, ML, and real-time product data to create context-aware experiences that guide users seamlessly from search to checkout.
Now that you understand the meaning of conversational commerce, let's delve deeper into how it works.
How Does Conversational Commerce Work?
Conversational commerce functions through these steps:
- Customers start a conversation with a business via the built-in chat.
- Businesses immediately respond to customer inquiries using chatbots or human agents to engage with them.
- Businesses provide information and recommendations on products or services.
- Chatbots or agents address customer queries and concerns in real-time.
- Customers complete purchases directly within the chat.
- Businesses may follow up with customers to ensure satisfaction and provide updates.
Let’s explore the types of conversational commerce channels.
What Are the Types of Conversational Commerce?
Conversational commerce leverages various channels to enhance the eCommerce customer experience. It facilitates seamless interactions between businesses and consumers.

Here are the different types of conversational commerce:
1. Messaging Apps
These are at the forefront of chat commerce, offering a direct line between customers and brands. Popular conversational commerce apps include WhatsApp, Facebook Messenger, and WeChat.
These apps enable businesses to send personalized messages, updates, and support, illustrating an example of conversational commerce in retail and beyond.
2. Voice Assistants
Devices powered by voice assistants like Amazon Alexa and Google Assistant represent the future of digital commerce. This lets users shop, inquire about products, and control smart devices through voice commands.
This AI conversational commerce channel redefines the customer journey by making it more accessible and hands-free.
3. Live Chat
Live chat delivers real-time AI shopping assistance to shoppers. It combines the immediacy of conversation with the personal touch of human interaction. This makes it a vital conversational commerce tool for enhancing online shopping.
4. Chat Bots & AI
Chatbots and AI-powered conversational search work together to automate customer service and sales tasks. While chatbots handle real-time conversations and support queries, conversational search helps customers find products through natural, dialogue-style queries.
Together, they can answer everything from simple questions like store hours to complex product-related inquiries, offering instant, accurate responses anytime.
Now, coming to the advantages of conversational commerce for businesses and customers.
What Are the Advantages of Conversational Commerce for Brands & Customers?
Conversational commerce bridges the gap between brands and customers by offering an interactive platform. Here, every customer interaction is personalized, fostering a sense of being understood and appreciated.
This approach not only nurtures customer loyalty beyond mere transactions but also delivers mutual advantages for both businesses and their clients.
In the following sections, we'll delve into the specific benefits it provides to the brands and customers.
Benefits of Conversational Commerce for ‘Brands’
For brands, the shift to conversational commerce is a strategic move that humanizes the digital shopping experience and boosts brand management:

- Higher Conversion Rates: It helps engage customer communication that feels more personal. It also effectively guides them through buying, leading to higher sales.
- Enhanced Customer Engagement: Each interaction is an opportunity to learn more about your customers, understand their needs, and instant responses in real-time, deepening the relationship.
- Operational Efficiency: By automating routine inquiries, brands can focus their human talent on complex issues and strategic initiatives. It helps improve overall efficiency and boost customer satisfaction.
- Rich Customer Data: Conversations offer a deeper understanding of customer preferences and behaviors. It can help you know more about product development and marketing strategies.
- Competitive Advantage: In a crowded marketplace, the ability to offer a personalized, conversational experience sets brands apart. This helps align with the evolving expectations of modern consumers.
Benefits of Conversational Commerce for 'Customers'
Conversational commerce isn't just about technology; it's about crafting meaningful, human-centered experiences.

Here's how it benefits customers:
- 24x7 Support: Imagine having a helpful assistant available anytime, ready to answer your questions or solve problems. 24x7 support accommodates everyone, making it easier for customers to get help at a time that suits them best.
- Convenience: Conversational commerce brings hands-free shopping into the spaces where customers spend their time, like Facebook Messenger and social media applications. This makes buying as simple as sending a text or a voice note.
- Personalized Experiences: Each customer is unique, and conversational AI commerce excels at providing tailored advice and product recommendations. It's like walking into your favorite store and being greeted by name with suggestions just for you.
- Ease of Use: The intuitive nature of conversational interfaces reduces the complexity of online shopping. There's no need to navigate endless menus - ask, and you will find.
- Seamless Transactions: Completing a purchase becomes a part of the conversation. It removes barriers and makes the process smoother and more enjoyable.
You can learn more about the benefits of conversational commerce in our latest blog.
Take your first step with Experro!
Elevate your eCommerce store's customer experience with exceptional conversational AI capabilities!
What Are the Key Statistics on Conversational Commerce?
Conversational commerce is changing shopping and customer service; the numbers show it's becoming more popular.
Let's look at some vital stats that explain why this trend is taking off.
Projected Expansion in Conversational Commerce Investments

By 2025, people are expected to spend $290 billion through conversational commerce.
This shows more people enjoy eCommerce conversational shopping through chat and voice services, and companies are putting money into making these options better for everyone.
The increasing adoption underscores the value both consumers and businesses find in these interactive platforms.
This makes shopping faster and smoother in the competitive conversational commerce market. This is a direct plus for customers and an indirect plus for companies.
Customers Pay More for Good Experiences

A survey found that 80% of people would pay more if it meant they could get a better shopping experience.
This means how a brand treats customers can be more important than the price or the product itself.
More Users on Messaging Apps Than Social Media

This change shows that messaging apps are increasingly crucial for businesses to directly communicate with customers and meet their needs.
Buying with Chatbots

Surprisingly, 47% of survey respondents expressed openness to purchasing through chatbots.
This openness to bot-assisted shopping signals a shift in consumer trust and perception towards AI-driven commerce. It shows that people are starting to trust and feel comfortable using chatbots to shop, ask about delivery, or get refunds.
Now, let’s find out conversational commerce's functional and industry-specific use cases.
What Are the Industrial Use Cases of Conversational Commerce?
Conversational commerce is transforming the way we interact with businesses. It makes the process more like conversing with a friend rather than a transaction.
Here's a deeper dive into conversational commerce use cases across various sectors:
- Retail Personalization: Imagine chatting with a bot that knows your taste and preferences. This offers product suggestions that feel handpicked for you and make online shopping convenient and delightful.
- Banking Made Simple: Securely check your finances, get spending alerts or even receive personalized financial advice through a conversation. This makes managing money less of a chore.
- Travel Made Easy: Plan your trips easily, get suggestions, book travel and accommodations, and receive real-time updates if anything changes. Everything can be done within the comfort of your messaging app.
- Educational Engagement: Students can get help with homework, access study materials, or communicate with educators more engagingly and immediately. This makes learning more interactive.
Conversational commerce startups are more than just convenience. It's about creating a seamless, engaging, and personalized way for customers to interact with businesses.
We can expect even more innovative uses and benefits as conversational technology evolves.
Before that, you must learn the conversational commerce best practices to optimize your business for better customer interactions.
What Are the Challenges in Deploying Conversational Commerce in Your E-store?
As conversational commerce offers a seamless blend of messaging and shopping, businesses find unique challenges.
Understanding these hurdles is crucial for eCommerce companies.
Here's a closer look at these challenges and their potential for transforming customer interactions.
1. Understanding Natural Language
The complexity of natural language, with its nuances, idioms, and slang, presents a significant challenge. Conversational commerce chatbots and AI must accurately interpret and respond to customer queries.
Solution - Experro solves this challenge with advanced NLP-powered search and chatbots that understand customer intent with high accuracy.
2. Maintaining Privacy and Security
As conversational eCommerce uses personal and payment details in chats, keeping these conversations private and secure is very important.
Conversational commerce companies must implement robust security measures to protect valuable customer data. It's a responsibility that grows alongside the conversational commerce market size.
Solution - Experro ensures enterprise-grade security with encrypted conversations, strict data governance, and privacy-first AI interactions to keep customer information fully protected.
3. Integration with Existing Systems
It must integrate seamlessly with a brand's existing systems — from inventory management to customer relationship management (CRM).
This integration allows for a unified and positive customer experience. But it can be complex, resource-intensive, and challenging, especially for enterprise conversational commerce.
Solution - Experro simplifies this with plug-and-play integrations and unified data pipelines that connect seamlessly with your existing tech stack in days, not weeks!
4. Developing a Conversational Commerce Strategy
Crafting an effective conversational commerce strategy involves more than just leveraging technology. It requires a deep understanding of customer needs, behaviors, and preferences.
Solution - Experro helps brands put their strategy into action with ready-to-use AI agents, conversational search, and chatbot workflows that can be deployed instantly across channels.
5. Balancing Human Touch and Automation for Customer Satisfaction
Maintaining a human touch and natural language processing (NLP) is essential for specific interactions. Determining when a customer should be directed from a conversational eCommerce chatbot to a human agent is a delicate balance.
As businesses navigate these challenges, the future of conversational commerce looks bright, with advancements in AI and machine learning.
It is continually enhancing the sophistication of conversational commerce tools. The potential benefits for customers and brands are immense, from personalized shopping experiences to improved operational efficiency.
Solution - Experro handles this balance with intelligent handoff rules, allowing AI to manage routine queries while seamlessly routing complex conversations to human agents when needed.
Next, let's view the role of Gen AI in conversational commerce in the next section.
The Role of Generative AI in Conversational Commerce
AI is the foundation of modern conversational commerce. It powers intelligent chatbots, voice assistants, and recommendation systems that understand intent and context in real time.
With machine learning and natural language processing (NLP), AI enables hyper-personalized shopping experiences through smart product suggestions and predictive service support.
Generative AI and conversational commerce together are transforming how businesses design and deliver customer experiences, enabling more natural, human-like interactions.
Experro’s AI Conversational Agent takes this further by combining AI, ML, and real-time product data to create context-aware experiences that guide users from search to checkout effortlessly.
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Explore how Experro’s Conversational AI enabled human-like engagement & faster support for them!

What Are the Best Practices to Optimize Your Business for Conversational Commerce?
Businesses must follow a set of best practices to make the most of conversational commerce.
This approach doesn't just involve using chatbots or AI; it's about creating a seamless, engaging shopping experience for your customers.

Here’s how you can optimize your business for conversational commerce:
1. Understand Your Audience
It is crucial to know who your customers are, what they need, and how they prefer to communicate. This insight helps tailor conversational commerce solutions to meet their expectations and enhance the customer journey.
2. Choose the Right Platform
Not all conversational commerce platforms are the same. Whether it's messaging apps, social media, or voice assistants, select the one where your customers are most active to maximize engagement.
3. Invest in DXPs & AI
Digital Experience Platforms (DXPs) and Artificial Intelligence (AI) are the backbones of effective conversational commerce.
They power conversational chatbots and AI solutions that can handle inquiries, offer personalized recommendations and learn from customer interactions.
Handpicked for you! - Best Agentic Experience Platforms to compare!
4. Monitor and Optimize Performance
Use analytics and insights to understand how your conversational tools are performing. Look at conversational commerce statistics to identify areas for improvement. Ensure your strategy evolves with customer needs.
5. Provide Human Escalation Options
Conversational commerce AI and chatbots can handle a lot, but a human touch is sometimes needed. Ensure customers can easily switch from conversational commerce bots to speaking with a person when complex issues arise.
6. Accessibility for Better Customer Engagement
Your conversational commerce platform should be accessible to everyone. This inclusivity ensures a broader audience can benefit from your services.
7. Optimize for Voice Search
With the rise of voice technology in conversational commerce, optimizing for voice search is more important than ever. Make sure your content and offerings are easily discoverable through voice queries.
By implementing these practices, businesses can enhance their conversational commerce experience. This approach not only meets the current trends but also positions your brand for success.
The future of customer interaction lies in making these experiences as easy, natural, and personalized as possible, and conversational commerceis leading the way.
Now that we have learnt about how to implement conversational commerce in your business, let's delve into the future trends and evolving landscape of conversational commerce.
Curious about the future of Conversational AI? Discover the top conversational AI trends that will help you drive smarter interactions.
Experro Is Powering the Next Era of Conversational Commerce

The future of conversational commerce is driven by intelligent, AI and ML-powered experiences.
Experro’s conversational AI agent empowers brands to deliver natural, context-aware interactions that guide shoppers effortlessly.
It connects search, personalization, and checkout into one unified conversational journey.
With advanced conversational AI technology, Experro enables hands-free, intuitive shopping experiences that feel truly personal.
Imagine your customers finding, exploring, and buying — all through a single, intelligent conversation.
This is how Experro helps businesses shape the next era of conversational commerce.
Embrace the future with Experro's Conversational AI!
Don't worry about how will you adopt it, we will take all the effort!
Conclusion
In conclusion, conversational commerce represents a significant evolution in how businesses interact with loyal customers.
As we look to the future, the integration of conversational commerce into retail and service sectors is expected to have significant growth. It will be driven by advancements in AI and customer demand for more intuitive and responsive shopping experiences.
For businesses, it is continuously adapting to emerging conversational commerce trends, investing in technology, and prioritizing customer satisfaction.
Ultimately, the companies that best leverage conversational commerce will set new standards for customer engagement and service, shaping the future of digital commerce.
To learn more, get on a call with our team.
FAQs
What are conversational commerce examples?
Examples of conversational commerce include using:
1. Facebook Messenger to place orders
2. Chatbots on websites for shopping assistance
3. Voice assistants like Alexa for making purchases with voice commands.
How conversational commerce works?
Conversational commerce works by enabling customers to interact with a brand through real-time conversations rather than navigating traditional website paths. Shoppers engage through messaging apps, live chat, voice assistants, or chatbots. The conversational commerce platform then provides product suggestions, answers queries, and assists with transactions directly within the chat. AI-driven conversations ensure every interaction becomes a guided shopping experience; from search to checkout.
How does AI enhance conversational commerce?
AI enhances conversational commerce by making interactions context-aware, personalized, and human-like. With NLP and machine learning, AI understands intent, interprets customer needs, and recommends relevant products in real time. Generative AI takes this further by offering predictive assistance, smart bundling, and hands-free shopping experiences. This technology reduces friction, helps customers make confident buying decisions faster, and increases revenue for businesses.
Are chatbots an example of conversational commerce?
Yes. Chatbots are one of the most common conversational commerce examples. They assist shoppers by answering questions, recommending products, checking order status, and helping complete purchases inside the chat. Modern conversational commerce chatbots are powered by AI, enabling them to respond naturally and improve with every interaction — making them a key part of conversational shopping across retail, fashion, and enterprise eCommerce.
How is conversational commerce different from traditional eCommerce?
Traditional eCommerce requires users to browse product pages and filter options manually. Conversational commerce replaces this with two-way interaction — customers simply ask and receive instant support, suggestions, and checkout options within the same conversation. Instead of navigating a website, shoppers experience a guided journey similar to an in-store associate, but powered by real-time conversational commerce technology.
What platforms are used for conversational commerce?
Popular platforms for conversational commerce include messaging apps (WhatsApp, Facebook Messenger, WeChat), live chat widgets on eCommerce stores, and voice-based assistants such as Amazon Alexa and Google Assistant. Many brands also deploy AI conversational agents embedded directly into their store to provide conversational shopping, personalization, and checkout in a single thread. The best conversational commerce platforms integrate seamlessly with product data, recommendations, and order systems.
Pallavi Dadhich
Content Writer @ ExperroPallavi is an ambitious author recognized for her expertise in crafting compelling content across various domains. Beyond her professional pursuits, Pallavi is deeply passionate about continuous learning, often immersing herself in the latest industry trends. When not weaving words, she dedicates her time to mastering graphic design.
What's Inside
- What Are the Advantages of Conversational Commerce for Brands & Customers?
- What Are the Key Statistics on Conversational Commerce?
- What Are the Industrial Use Cases of Conversational Commerce?
- What Are the Challenges in Deploying Conversational Commerce in Your E-store?
- The Role of Generative AI in Conversational Commerce
- What Are the Best Practices to Optimize Your Business for Conversational Commerce?
- Experro Is Powering the Next Era of Conversational Commerce
- Conclusion
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