What Is Conversational Commerce? 5 Best Practices, Examples & AI Benefits

Conversational commerce has become increasingly important for online retailers, especially as advancements in generative AI have greatly increased the impact these conversations can now have on ecommerce.

By facilitating engagement through AI-based text and voice assistants, social messaging apps, and other innovative conversational commerce tools, ecommerce websites have a seamless way to connect with potential customers while also providing them with a personalized experience.

Natural language processing techniques turn these conversations into structured data that can be used to gain further insights into what customers are expecting from online stores. With AI-enabled chat apps and other conversational commerce tools, businesses are able to better understand their customers, provide personalized services, and even upsell and cross-sell products.

At its core, conversational commerce is about leveraging technology to create engaging customer experiences, which in turn leads to increased loyalty and satisfaction for brands over time. This makes it an integral part of any successful digital marketing strategy for online stores.

In order to reap the full benefits of a conversational commerce strategy, retailers need to make sure they have a robust plan in place that takes into account the various types of conversational commerce platforms available. They also must consider what their potential customers might be looking for on their websites or platforms and what might make online customer journeys the most seamless.

By integrating AI technology into their shopping experience, digital commerce businesses can make sure that they maximize the potential of conversational commerce and use it to enhance customer service experiences and increase sales. Brands have learned that they can engage customers and ensure they have a positive customer experience thanks to conversational commerce.

What Is Conversational Commerce in Ecommerce?

Conversational commerce is the process of using automated conversations and AI-powered technologies to create more engaging customer experiences when shopping online. Advances in generative AI have rapidly expanded what these interactions can do, enabling exchanges that feel genuinely natural rather than scripted.

With conversational commerce, customers get quick answers to important questions, purchase items without navigating through entire websites, and receive suggestions based on their previously collected data, including personalized product recommendations.

Having ample amounts of commerce data (the combination of product and customer data) makes these AI-driven conversations more effective: less friction, better relevance, and faster paths to the right product.

How Does Conversational Commerce Work?

Conversational commerce utilizes a myriad of tools to create an interactive dialogue and experience between ecommerce businesses and their customers.

Through these tools (powered by artificial intelligence, machine learning, and natural language processing) companies are able to quickly diagnose customer demands and provide the information that customers need to solve their problems.

These can be taken even further with advancements like agentic AI. This technology uses the power of AI agents to autonomously engage users and make decisions, leading to more natural and organic interactions on your site.

Conversational commerce tools also allow businesses to gather key insights from these customer conversations and use them to personalize future customer experiences. This will lead to stronger brand loyalty among customers who are engaging with the AI.

Conversational Commerce vs. Social Commerce

While they may seem similar in practice, conversational commerce and social commerce are two different strategies for ecommerce businesses.

Social commerce specifically uses social media platforms (like Facebook or Instagram) to market and sell services or products online. This selling model allows customers to complete the entire sales cycle without leaving their social media app.

While conversational commerce is similar in that the brand’s end goal is still facilitating sales, this type of commerce specifically uses AI to generate conversations that provide customers with personalized experiences and the opportunity to purchase what they need. This doesn’t necessarily happen on social media, but it can. The line between these two categories is increasingly blurry: platforms like TikTok Shop and Instagram now incorporate AI-driven conversational features, meaning the same interaction can qualify as both. In practice, many brands use them together rather than choosing one over the other.

The Rapid Growth of Conversational Commerce

Consider your own personal communication style for a moment: how often are you personally relying on messaging or a two-way conversation to communicate or acquire knowledge? Probably much more so now than a few years ago.

It’s no different with conversational commerce, and that’s why it has seen significant growth, with projects expected to grow even more rapidly over the next few years. The conversational commerce market reached $11.26 billion in 2025 and is projected to grow to $22.56 billion by 2031, a compound annual growth rate of 12.28%.

One of the key explanations of the rapid growth? Convenience.

Customers no longer have to worry about picking up the phone, returning an email, or even driving to a brick-and-mortar store to complete a purchase anymore. Everything (from product discovery to payment) can now happen via two-way communication thanks to AI-powered conversational commerce.

Another key explanation? Generative AI.

Advancements in Generative AI and Conversational Commerce Strategy

Generative AI is a form of artificial intelligence that enables computers to generate content without being explicitly programmed.

Generative AI’s ability to automate customer interactions, create personalized product recommendations, and respond to customer-specific requests by mimicking natural language is the backbone of conversational commerce. It represents the future of ecommerce as brands race to offer the most personalized experiences for customers without putting all the heavy lifting on their own internal marketers and merchandisers.

More recently, innovations in generative AI have led to the development of agentic AI. Once you set a goal, these AI agents can work autonomously to make decisions, learn and adapt, and collaborate with other agents to complete that objective. This allows brands to implement new ways to engage customers while streamlining and scaling up their internal efficiency.

Prior to the incredible recent advancements in generative AI, conversational commerce was limited in the types of interactions it could offer to customers. The AI may have been able to match some of the keywords, but that didn’t always guarantee a relevant or helpful response to customers, as the technology was not yet fully mature.

For example, searching with stilted language such as “make a return” would likely produce much better results than searching “can you please help me return these jeans that I bought last week?”

Now, thanks to generative AI and AI agents, those issues pop up far less frequently. Generative AI facilitates actual conversations in conversational commerce and helps brands deliver on the actual promise of being conversational in their strategies.

There is so much data informing the process, and generative AI has such a deep understanding of how human beings speak that you can now interact in two-way messaging as you might with a friend or colleague. As a result, conversational commerce can be much more personalized and actually feel like a real conversation.

These advancements mark a seismic shift in the ecommerce marketplace. Conversational commerce has been completely changed and upgraded because of generative AI, with innovations far beyond what could even previously be imagined.

As OpenAI and LLMs reshape the internet, it may also radically reshape how we think about ecommerce websites, the role of the search bar, and all of the one-way communication online that human beings are accustomed to today. Generative AI makes it possible for conversational commerce to become a part of the experience that any company offers its customers, creating new ways for brands to build relationships with shoppers.

That being said, the need for controls around this will still remain, and brands will maintain an important role in ensuring their AI-powered commerce experience is accurate and consistent with brand standards.

How Conversational Commerce Works Across 5 Channels

Now that you know how it works, consider how different channels put conversational commerce into practice. Each one creates a different touchpoint with the customer, but the underlying goal is the same: a more natural, personalized path to purchase.

1. Social Messaging

The rise in popularity of social commerce for marketers working in ecommerce marketing automation does intersect with conversational commerce. Companies are now using the two-way messaging offered by Facebook Messenger and other social media platforms to communicate with customers in a more personal and engaging way and to offer personalized product recommendations.

Brands like Sephora pioneered Facebook Messenger chatbots that guide customers through style and product decisions in real time, connecting purchase intent directly to catalog recommendations. By weaving product data into conversational AI, they created shopping experiences that outperform static browsing for both discovery and conversion.

2. Virtual Shopping Assistants

Virtual shopping assistants are one of the most common examples of conversational commerce. They do more than chatbots, which often follow preset rules or scripts. Instead, they use conversational AI to understand (and even predict) what customers are looking for, proactively provide guidance and recommendations, and adapt to their changing preferences.

Home improvement retailers are a natural fit: purchase decisions depend heavily on specifications, compatibility, and project scope. AI assistants that walk customers through room dimensions, style preferences, and budget constraints eliminate the research friction that typically kills high-consideration purchases, guiding buyers toward personalized product bundles and driving higher average order values. See how this translates into a real flow in Bloomreach’s personalized guided purchase campaign use case.

3. SMS for Two-Way Customer Conversations

SMS marketing lets marketers use text messaging as an additional marketing channel. Building an effective SMS strategy should absolutely involve conversational commerce. Being able to have two-way conversations with your customers via text elevates your brand’s personalization pursuits and the customer experience it can offer.

Illustrative scenario: A travel booking platform uses SMS conversational commerce to help customers manage their trips. When travelers text questions about flight changes or hotel amenities, AI agents respond with personalized solutions and can instantly process booking modifications.

4. MMS for Rich Media Customer Engagement

Sending media files that SMS can’t support is what makes MMS marketing so valuable to your brand. Being able to have a two-way conversation after sending those multimedia messages to opted-in customers? Even more valuable.

Illustrative scenario: A luxury jewelry brand sends MMS messages featuring high-resolution images and videos of new collections. Customers can reply with questions or requests to see similar pieces, triggering personalized conversations that guide them toward purchase decisions.

5. AI-Enhanced Search Bars for Interactive Discovery

Is this a new one to you? Our interactions with the search bar may grow to include options for two-way conversation thanks to the impact that conversational AI will have on commerce search. In addition to its traditional one-way use, businesses may now also offer a two-way conversation prompted by a customer’s search. For example, a customer searching for a bike may see conversation-starter questions directly in the search bar, and clicking on one will bring up a chat window so they can ask further questions.

The Benefits of Conversational Commerce

The ultimate benefit of conversational commerce is that it provides customers with an easier and more efficient way to purchase products online. It gives them the ability to participate in two-way conversations with brands in a natural and conversational manner. This ultimately leads to a better shopping experience.

But what about the benefit for brands? Think for a second about your omnichannel strategy. Would it benefit from not only customer engagement but also customer interaction? That answer is likely a resounding yes.

Conversational commerce facilitates the ability to send an SMS, get a response, and then follow up via email. Or, you can create a conversation to reengage a shopper with an abandoned basket campaign. It’s an open flow of communication fueled by more personalization, created with less effort.

Additionally, conversational commerce is another avenue for brands to use customer data to increase customer satisfaction and keep customers coming back to buy again. Using generative AI to automate customer interactions makes everything on the customers’ end more user-friendly.

Enhanced Customer Engagement

Enhanced customer engagement is a byproduct of your ecommerce business investing in conversational commerce.

By building a conversational commerce strategy, businesses can provide instant support, personalized recommendations, and efficient transactions, leading to higher customer satisfaction, increased sales, and stronger brand loyalty. Agentic AI makes it even easier to not only enhance the overall customer experience but also build long-lasting relationships with your audience.

Improved Customer Service

Conversational commerce enhances customer service by providing instant and personalized assistance to customers. This real-time interaction allows businesses to address customer queries promptly, offer tailored product recommendations, and guide users through the purchasing process with ease.

Increased Sales

Conversational commerce drives increased sales by offering a shopping experience that guides customers through their purchase journey with personalized recommendations and instant assistance.

By engaging users in real-time conversations, businesses can address customer questions promptly, overcome purchase barriers, and provide tailored product suggestions, ultimately leading to higher conversion rates and a boost in sales. This personalized approach creates a sense of trust, convenience, and satisfaction that encourages customers to make informed purchase decisions, thus contributing to revenue growth.

Streamlined Shopping Experience

There is no easier way to streamline a shopping experience in the age of generative AI than adopting a conversational commerce strategy.

Businesses can address customer queries in real time, offer product information, and facilitate transactions efficiently, creating a more convenient shopping journey for users. AI agents are also great at reducing friction, using customer preferences to quickly find solutions and recommendations that improve user satisfaction and increase the conversion rate.

Data Collection and Insights

Conversational commerce facilitates better data collection and insights by gathering valuable customer interactions, preferences, and behaviors through chatbot conversations and messaging platforms.

This data-rich environment allows businesses to analyze customer feedback, purchase patterns, and engagement metrics, leading to a deeper understanding of consumer needs and preferences. By harnessing this data, businesses can make informed decisions, optimize their marketing strategies, and personalize the shopping experience, ultimately driving growth and enhancing customer relationships.

Ecommerce Personalization and Conversational Commerce

Ecommerce personalization has been a desire of customers all over the world for as long as ecommerce has existed. And at the same time, it has been a pain point for digital commerce companies for the same amount of time.

Consider these statistics before you just tune out another digital lecture about personalization.

• 78% of customers are more interested in brands that offer personalized experiences.
• 83% of consumers are willing to share personal data in order to facilitate more personalized experiences.

In short, if your brand is striking out on personalization, you’re leaving a lot of revenue on the table.

Investing in the right conversational commerce technology bridges the gap with ecommerce personalization. Conversational commerce naturally personalizes the customer experience: the two-way nature of the AI-generated conversation surfaces exactly what customers want and delivers it, while storing the customer data for future interactions.

How exactly should ecommerce businesses use conversational commerce to personalize experiences? A range of ecommerce personalization strategies address this directly, with the most effective ones centering on meeting customers where they are in their journey and going above and beyond to offer meaningful experiences through conversational AI.

5 Best Practices for Implementing Conversational Commerce

Successfully implementing conversational commerce requires a strategic approach that balances technology capabilities with customer needs. Here are the essential best practices to ensure your conversational commerce strategy delivers maximum value:

1. Start with High-Intent Customer Touchpoints

Begin your conversational commerce implementation by focusing on moments when customers are most likely to engage and convert. Target areas like product pages, checkout processes, and customer service inquiries where immediate assistance can significantly impact the user experience. This approach ensures you see measurable results quickly while building confidence in the technology.

2. Integrate with Your Existing Tech Stack

Ensure your conversational commerce solution connects with your current customer data platform, inventory management systems, and marketing automation tools. This integration enables AI agents to access real-time product information, customer history, and personalization data, creating more meaningful and accurate conversations that drive conversions.

3. Measure Conversation-to-Conversion Rates

Establish clear metrics to track the effectiveness of your conversational commerce initiatives. Monitor key performance indicators such as conversation completion rates, average order value from chat interactions, and customer satisfaction scores. These insights help you optimize conversation flows and identify opportunities for improvement.

4. Personalize Based on Customer Data

Use your customer data to create personalized conversation experiences. Use purchase history, browsing behavior, and demographic information to tailor product recommendations and conversation tone. Agentic personalization scales these personalized interactions across thousands of customers simultaneously.

5. Scale Gradually Across Channels

Start with one or two communication channels and gradually expand your conversational commerce presence. Begin with your most popular customer touchpoints, such as your website chat or SMS, before extending to social media platforms or voice assistants. This measured approach allows you to refine your strategy and ensure consistent quality across all channels.

What Industries Benefit Most from Conversational Commerce?

Conversational commerce delivers value across multiple industries, but certain sectors see particularly strong results due to their customer interaction patterns and business models:

Retail and Fashion

Retail and fashion brands benefit significantly from conversational commerce through personalized styling advice, size recommendations, and product discovery assistance. AI agents guide customers to the perfect outfit based on their preferences, body type, and occasion, while also providing real-time inventory updates and styling tips.

Travel and Hospitality

The travel industry uses conversational commerce for booking support, itinerary management, and real-time travel assistance. Customers can modify reservations, get destination recommendations, and receive instant support during their journeys, creating smoother travel experiences and reducing customer service overhead.

Financial Services

Financial institutions use conversational commerce for account inquiries, fraud prevention, and personalized financial advice. AI agents handle account inquiries, flag suspicious activity, and surface tailored investment recommendations while maintaining the security and compliance standards required in the financial sector.

Conversational Commerce Use Cases

Conversational Commerce Use Cases

Here are some of the best strategies and use cases to optimize your customers’ experiences with conversational commerce.

Customer Support

For customer support, applying conversational commerce enables the brand to provide instant and personalized assistance to customers, addressing their queries promptly and effectively. By adopting chatbots and messaging platforms, the brand can offer a support experience that is both efficient and tailored to individual needs, fostering customer satisfaction and loyalty.

Personal Shopping Assistants

In the realm of personal shopping assistants and AI-powered personal shopping services, conversational commerce proves invaluable by guiding customers through their conversational shopping journey with tailored product recommendations and expert advice. Approaches like product discovery quizzes take this further, using interactive question flows to narrow down options and meet customers exactly where they are in their decision. This personalized approach builds trust and rapport, leading to increased engagement and a higher likelihood of conversion.

Order Placement and Management

Conversational commerce streamlines the process of order placement and management by enabling customers to make purchases, track orders, and receive updates in real-time through interactive conversations. This convenience enhances the overall shopping experience, reduces friction in the transaction process, and fosters efficient order handling, ultimately leading to higher customer satisfaction and retention.

Payment Processing

With conversational commerce, brands can offer payment processing options within chat interfaces, making transactions quick, secure, and hassle-free for customers. By integrating payment gateways into chat platforms, businesses can streamline the checkout process, enhance user experience, and instill confidence in customers, resulting in increased conversion rates and overall sales.

Feedback and Reviews

Utilizing conversational commerce for feedback and reviews allows brands to collect valuable insights and customer sentiments through interactive conversations. This direct communication channel enables businesses to gather feedback in real time, address concerns promptly, and use positive reviews to enhance brand reputation and credibility, fostering a customer-centric approach and continuous improvement.

Appointment Scheduling

Conversational commerce facilitates appointment scheduling by offering a convenient and efficient way for customers to book appointments, receive reminders, and manage their schedules without friction. This interactive approach simplifies the booking process, reduces no-show rates, and improves customer engagement, leading to enhanced operational efficiency and a more organized customer experience. AI agents further improve this process by understanding nuance and intent, making it easier to scale up your ability to book customers.

Product Recommendations

Through conversational commerce, brands can deliver personalized product recommendations to customers based on their preferences, purchase history, and interactions. Businesses can offer relevant suggestions, cross-sell or upsell products, and enhance the shopping experience with tailored recommendations that resonate with individual tastes, driving higher engagement and sales.

Post-Purchase Support

Conversational commerce can play a vital role in post-purchase support by assisting customers with order tracking, returns, exchanges, and addressing any post-purchase queries efficiently. This ongoing support ensures a positive customer experience post-sale, builds trust and loyalty, and encourages repeat purchases, contributing to long-term customer relationships and brand advocacy.

Subscription Management

Using conversational commerce for subscription management enables brands to engage with subscribers, offer personalized content, manage subscription preferences, and handle renewals or cancellations without friction. This interactive approach enhances subscriber retention, reduces churn rates, and fosters a sense of community and loyalty among subscribers, ensuring a positive and consistent subscription experience.

Conversational Marketing

Conversational marketing is a very similar trend to conversational commerce. AI-driven tools are now being used to provide an optimally personalized experience for customers via marketing channels.

Conversational marketing is a type of marketing that engages customers through two-way communication in real-time conversations. The goal of conversational marketing is to engage buyers and move them as quickly as possible through the journey of buying the product.

Conversational commerce and conversational marketing both involve using conversation-based technology to interact with customers. The primary difference is that, while conversational commerce focuses more on the sale of products, conversational marketing’s goal is to create consumer awareness and engagement.

When introducing AI agents to conversational marketing, you can create agentic personalization that speaks to customers on a deeper level. By using their past behavior, preferences, and shared context, you can create hyper-personalized experiences at scale.

Is Conversational AI Right for My Business?

Conversational commerce should be powered by conversational AI, specifically defined as software that is computer-powered by artificial intelligence and creates human-style conversation with users. In short, conversational AI is technology that can talk to humans.

But how do you know if conversational technology is right for your business right now? Ultimately, the answer is dependent on your business’s current goals and situation. But consider exactly what conversational AI enables your company to do when making this decision:

• Boost customer satisfaction, engagement, and retention rates. These key metrics can be impacted by allowing customers to communicate with your brand naturally, as conversational AI allows for.
• Create personalized experiences for customers. Enabling customers to have personalized experiences with your brand can have a significant impact on key retention statistics.
• Analyze customer behavior. Having access to the behavioral data generated by these AI-driven customer interactions can lead to a better understanding of customers. As a result, you can offer them a better experience with your brand in the future.

If your business is looking to improve upon or double down on any of the above, a conversational commerce strategy is worth pursuing. That said, the quality of the AI is only as good as the data behind it: brands with limited customer data or fragmented product catalogs will see weaker results until that foundation is in place. Conversational commerce works best when your customer and product data are already centralized and accessible.

Generative AI is also having a massive impact on conversational marketing. Omnichannel marketing efforts can be easily scaled by integrating generative AI tools into your SaaS platform. This can save your commerce-driving team time and money when creating marketing campaigns, and will also ensure that the assets being created for those campaigns best fit the segments they’re targeting.

How a Conversational Commerce Strategy Increases Customer Satisfaction

The right conversational commerce platform gives your business the foundation to build a strategy that scales: real customer data feeding real-time conversations across every channel where your customers are active.

The goal is more meaningful interactions with customers. A sale is always the aim, but conversational AI earns those sales by being genuinely useful first: answering questions, surfacing the right product, and removing friction at exactly the moment a customer needs it. Brands that get this right convert more and build the kind of trust that brings customers back.

The Future of Conversational Commerce in 2026

The future of conversational commerce is being shaped by advances in generative AI and the emergence of agentic AI: systems that can anticipate customer needs, initiate conversations proactively, and take actions across channels without waiting to be asked.

The shift is already underway. Conversational tools are moving from reactive (answering questions when asked) to proactive (surfacing the right product or offer at the right moment, before a customer formulates the request). As AI agents get better at understanding purchase intent and long-term customer context, the search bar itself may give way to a dialogue-first shopping experience.

One thing’s for certain: conversational commerce has a prominent spot at the table when discussing the future of AI in commerce and marketing. Customers are already becoming accustomed to the ease and convenience that conversational commerce and AI agents provide, and will expect that every brand they interact with online can deliver equally personalized experiences.

The Impact of a Conversational Commerce Platform

Here’s how Bloomreach approaches conversational commerce in practice, and the results our customers have seen.

Loomi Conversational Agent is an AI-powered conversational shopping agent that will put your customer and product data to work to deliver personalized customer experiences at scale.

Powered by the latest advancements in agentic AI and large language models (LLMs), Loomi Conversational Agent engages with shoppers to deliver personalized, human-like product expertise.

With Loomi Conversational Agent, ecommerce companies can prioritize customer loyalty. They can take customer relationships to the next level by having intelligent customer service interactions powered by generative AI. This will help turn curious onlookers into loyal customers and build brand loyalty.

Loomi Conversational Agent is built upon a powerful real-time customer data engine and trained on more than a decade of commerce data. This gives it a unique understanding of how customers shop and how products perform: globally, based on Bloomreach’s rich data and smart AI, and at the individual level, based on a business’s real-time data.

As a result, while Loomi Conversational Agent is showing customers relevant information and products, it’s also prioritizing what it knows they’ll actually buy, helping businesses drive fast growth.

Loomi Conversational Agent powers AI-driven conversational shopping across the entire customer experience. Retailers using it have seen measurable lifts across the funnel: TFG’s Bash recorded a 35.2% increase in conversion rate and 39.8% more revenue per visit, while cutting exit rates by 28.1%. Defender, a marine retailer that needed to replicate its knowledgeable in-store experience online, saw nearly a 3% add-to-cart rate increase overall and over 3% on mobile. BoohooMAN reported 13x ROI using the platform.

Learn more about how your business can benefit from Loomi Conversational Agent.