8 best AI chatbots for ecommerce stores in 2026

Shopping online doesn’t look the same as it did a few years ago. Customers now expect instant answers, personal recommendations, and a smooth experience from the moment they land on your store. That’s where artificial intelligence has completely changed the game, especially through chatbots.

What once started as simple pop-ups asking, “How can I help you?” has now become something far more advanced. Today’s AI chatbots can recognise intent, hold meaningful conversations, and even help shoppers make faster buying decisions. They’re the extra pair of hands your team didn’t know it needed.

For ecommerce businesses, having a chatbot isn’t a “nice-to-have” anymore; it’s part of staying competitive. From recovering abandoned carts to handling FAQs or suggesting products in real time, a smart chatbot can transform how customers experience your brand.

Still, with so many tools out there claiming to do it all, figuring out which one is truly worth your time can be tricky. To make things easier, we’ve rounded up 8 of the best AI chatbots for ecommerce stores in 2026, ones that can help you sell smarter and keep customers happy.

Before diving into the list, let’s start with the basics: what exactly is an ecommerce chatbot and what it can do for an ecommerce store?

What is an e-commerce chatbot?

Imagine a digital team member that’s ready to talk to your shoppers at any time; that’s essentially what an e-commerce chatbot is. It’s a piece of software built to handle conversations with visitors to your online store. Whether someone wants a product recommendation, wants to check an order status, or is just curious about returns, a chatbot can step in and help.

Over recent years, chatbots in e-commerce have moved well beyond the “you ask, I answer” stage. Many are now powered by artificial intelligence, making them far more capable. They recognise what a shopper means (even if the wording is messy), pull relevant product data, and guide that person through to purchase.

Why does this matter? Because in an online store, every second counts. A chatbot offers instant support, reduces waiting time, and helps cut down on cart abandonment. It also gives you insight into what people are asking, what they struggle with, and what they love, so you can improve your store accordingly.

In short, if your e-commerce store wants to be more than just a catalogue and instead offers a shopping experience that feels helpful and personal, then a well-set-up e-commerce chatbot becomes a strategic ally. In the next section, we’ll explore how these bots actually work in practice.

How AI chatbots transform the ecommerce experience?

Picture this: you’re scrolling through an online store, eyeing a product but unsure whether to buy it. Suddenly, a friendly chat appears offering the right size guide, a discount code, or a suggestion for a similar item. That’s the power of a smart AI chatbot in action.

Here’s what modern AI chatbots can do for ecommerce brands:

Handle everyday queries: from product availability and shipping updates to return policies, keeping customers informed instantly.
Understand context: advanced AI helps chatbots read between the lines, anticipate what shoppers need, and respond naturally.
Personalise every chat: by learning from browsing history and previous interactions, chatbots make each conversation feel one-to-one.
Build trust and drive sales: they can share product reviews, recommend matching items, and remind customers about abandoned carts.
Connect with store systems: smart bots go beyond chat, allowing shoppers to place orders, track deliveries, or check loyalty points without leaving the window.

Beyond customer support, these chatbots are a goldmine of insight:

Every interaction reveals behavioural patterns, what customers ask, where they hesitate, and what ultimately convinces them to buy.
These insights help ecommerce teams refine the shopping journey and continuously improve conversion rates.

Now that you know what they can do, let’s explore the 8 best AI chatbots for ecommerce stores in 2026, the tools leading this transformation.

8 Best AI chatbots for ecommerce stores in 2026

You might be wondering: how did we pick these eight? I’ve personally tested many of these tools in ecommerce stores. I’ve also reviewed feedback from industry colleagues and consulted trusted review sites to make sure this list reflects real-world performance, not just hype. Each one here has something distinctive to offer but only you can decide which fits your brand and customer base best.

Now, let’s dive in.

1. Trengo (AI HelpMate)

Trengo’s AI HelpMate isn’t just another chatbot, it’s built to function as a true digital team member for your ecommerce business. Designed with customer experience at its core, HelpMate combines conversational AI with practical automation to help your support and sales teams stay ahead. It understands natural language, detects intent, and can respond to customers in multiple languages while maintaining your brand’s tone of voice.

What makes Trengo’s AI HelpMate stand out is its ability to blend automation and human touch seamlessly. It doesn’t just fire off pre-set answers, it learns from past interactions, your knowledge base, and your workflows to deliver relevant, human-like responses. Whether it’s handling hundreds of product inquiries during a sale or managing multilingual conversations, it does it all while ensuring complex cases are smoothly handed over to live agents.

Beyond customer conversations, HelpMate also gives your team context and insights by summarising chats, suggesting responses, and tagging conversation types automatically. This helps ecommerce stores not only offer faster support but also build smarter, data-driven processes.

Standout features

Multilingual capabilities: supports 26+ languages, ideal for global ecommerce audiences.
Smart response suggestions: automatically drafts replies for your agents to approve or edit, speeding up response times.
Seamless live-agent handover: passes chats to human agents when complex issues arise without losing conversation history.
Integrations: connects with CRMs, help centres, and ecommerce systems so your chatbot always has the latest customer data.
AI learning loop: improves automatically as it interacts with more customers and internal knowledge sources.

Pros

Quick setup and immediate value, perfect for growing ecommerce stores looking to reduce repetitive workloads.
Reliable 24/7 support that helps build trust and improve customer satisfaction.
Smooth human handover and natural conversation flow that maintains brand tone and empathy.
Excellent multilingual support for international sellers and cross-border ecommerce.

Cons

Advanced features and deep integrations may require a higher plan.
Performance depends on the quality of your existing FAQs and knowledge base.

2. Help Scout

Help Scout has long been known for making customer support personal and approachable, and its AI-powered tools take that mission even further. While it’s not a traditional chatbot in the “sales bot” sense, its AI features work behind the scenes to make conversations faster, smarter, and more meaningful.

For ecommerce teams, Help Scout’s AI assistant can automatically identify common questions, draft replies, and even detect the intent behind a customer’s message. This makes it easier for support teams to manage large volumes of tickets without losing that human touch. Whether customers are asking about delivery updates, return policies, or order issues, the system helps your agents stay one step ahead by providing context and suggested responses in real time.

The platform also stands out for its simplicity. Unlike complex enterprise systems, Help Scout feels familiar more like an inbox than a ticketing platform. This helps smaller ecommerce teams adopt AI-driven support without a steep learning curve. By combining automation with warmth, Help Scout proves that great customer service doesn’t have to sound robotic.

Standout features

AI summarisation: automatically summarises long customer conversations, saving agents valuable time.
Smart reply suggestions: recommends message drafts based on previous interactions and tone of voice.
Instant intent detection: identifies the reason behind a customer’s message to route it correctly.
Seamless collaboration: integrates with email, chat, and knowledge base to manage conversations in one view.
Customer history access: gives full visibility into past purchases, issues, and notes, so responses are always personalised.

What we liked

Extremely easy to use, especially for teams moving from traditional email-based support.
AI works quietly in the background, keeping the focus on human connection.
Intuitive interface with great visibility into customer details and conversation context.
Smooth integration with ecommerce tools and CRMs, making it ideal for growing stores.

What we disliked

Not a fully standalone chatbot, it requires human oversight for most interactions.
Limited in proactive engagement; better suited for customer support than sales automation.
Advanced automation features can take time to fine-tune for specific workflows.

3. Tidio

Tidio is a smart all-in-one chat-and-AI tool that works especially well for ecommerce stores that want a blend of live chat, automation and artificial intelligence without a huge learning curve. At its heart is the AI agent called Lyro, which connects directly with your website, email and social channels to answer simple questions, recommend products and guide visitors toward buying, all while your team focuses on higher-impact work.

What makes Tidio attractive is how quickly you can get started. The visual flow builder helps you map out chat logic, and Lyro can be trained on your own data so the responses feel on-brand. In an online store context, Tidio emphasises reducing shopping-cart abandonment, offering product suggestions, and giving your international customers smoother experiences with multilingual support.

Because it combines live chat, email, social messaging and AI in one dashboard, your ecommerce team doesn’t need to switch tools when conversations come from different channels. That consolidated experience means better customer support and stronger chances of conversion.

Standout features

Lyro AI agent: handles FAQs, order updates, and product recommendations, learns from your own documentation.
Visual flow builder and templates: lets you create chat logic and proactive messages like exit intent or cart reminders fast.
Multichannel inbox: website chat, email, Messenger, Instagram and WhatsApp all in one spot.
Ecommerce-specific actions: shows visitor cart contents, past orders and can recommend products from your catalogue in chat.
Multilingual support: caters to international customers with responses in multiple languages.

What we liked

Very quick setup for smaller or mid-sized online stores, meaning you can launch chat automation almost immediately.
Combines live chat and AI neatly, ensuring customers always have an option to talk to a human when needed.
The ecommerce-specific features (cart preview, past purchases) make conversations feel relevant and personalised.
Strong value for money: free version available, and the paid tiers scale reasonably as you grow.

What we disliked

While powerful, the AI agent (Lyro) isn’t always as advanced for very complex custom workflows, some manual fine-tuning is still needed.
Some of the more advanced automation and analytics are locked behind higher-tier plans, which may stretch smaller budgets.
Because it covers so many channels and features, the interface can feel busy, there is a bit of a learning-curve for teams new to chatbots.

4. ManyChat

ManyChat is built for ecommerce brands looking to turn chats into conversions, especially through social channels and website widgets. Its intuitive flow builder helps you create automated sequences that greet visitors, show product galleries, offer discounts, and guide shoppers toward a purchase, all without coding.

While ManyChat began with Messenger and Instagram chat automation, it has evolved into a true omnichannel chatbot and marketing assistant. It connects to Messenger, Instagram DMs, SMS, email (and increasingly WhatsApp) and links with ecommerce platforms so you can pick up conversations where customers left off.

In a busy ecommerce environment, that means you can launch a promotion in chat, remind someone of their abandoned cart, or ask for feedback after delivery all while tracking results in one place. It’s a strong choice if your store focuses heavily on social-engagement, frequent campaigns and visual flows.

Standout features

Visual flow builder: drag-and-drop interface for building conversation flows, sequences and automations.
Growth tools: includes links, ad triggers, website widgets, comment reply automations and more to reach customers where they already chat.
Omnichannel support: integrates with Messenger, Instagram, SMS, email and more, enabling chat and campaign automation across platforms.
Ecommerce-friendly actions: embed product images, show galleries, apply coupon codes, and link directly to your checkout.
Analytics & audience segmentation: track conversions, segment contacts by behaviour and tag subscribers for tailored flows.

What we liked

Very fast to get started: you can plug in ManyChat and launch a welcome-sequence or cart-reminder flow in hours.
Great for social-first stores: if you rely on Instagram or Messenger for traffic, ManyChat hits that channel well.
Strong visual builder lowers the barrier for team members who aren’t technical.
Useful ecommerce-specific features (coupons, product galleries) make it more than just a chat tool.

What we disliked

While it has AI features now, ManyChat is still primarily flow-based rather than full conversational AI, so true “understanding” of free-text questions may be limited.
Cost can rise quickly for large contact lists or when adding SMS/WhatsApp channels.
For advanced support use cases (complex returns, multilingual customer service) you might find it less flexible than dedicated support-bots.

5. Chatfuel

Chatfuel has become a favourite for ecommerce brands that rely on social media to drive sales. It’s a no-code chatbot builder that helps you create automated conversations on Instagram, Facebook Messenger, and WhatsApp, without writing a single line of code.

It’s built for simplicity. With its drag-and-drop flow builder, you can design customer journeys that feel personal: from showing product options to sending discount codes or recovering abandoned carts. For teams that don’t have developers on hand, Chatfuel makes launching a chatbot as easy as setting up an ad campaign.

What’s more, Chatfuel integrates smoothly with Shopify, CRMs, and ad platforms. That means your chatbot can track sales, collect leads, and sync customer data automatically. It’s a great fit for businesses that want to grow through conversational commerce and stay close to their customers on the channels they already use daily.

Standout features

Visual flow builder: create chat journeys using simple drag-and-drop blocks, no technical skills required.
Social channel reach: connect with customers on Messenger, Instagram, and WhatsApp.
Ecommerce templates: ready-made flows for abandoned carts, product discovery, and post-purchase follow-ups.
Shopify and CRM integrations: sync customer details and order data for more relevant conversations.
Basic AI intent detection: understands common questions and routes them to the right response or agent.

What we liked

Super quick to set up, you can launch a chatbot campaign in a few hours.
Ideal for social-first ecommerce brands that depend on Instagram or Messenger.
Easy enough for marketers to manage without tech support.
Great value for automating sales conversations and collecting leads.

What we disliked

AI capabilities are basic, better for rule-based flows than natural conversation.
Managing multiple channels can feel repetitive since flows aren’t fully shared.
Advanced features like detailed analytics or multi-language chat require higher-tier plans.

6. Intercom

Intercom is one of the most established names in conversational support, and for good reason. It combines live chat, AI automation, and customer data into a single workspace, making it a powerful choice for ecommerce brands that want to offer quick, personalised help at scale.

At the heart of Intercom is its AI chatbot, Fin. It’s built to understand intent, retrieve accurate answers from your knowledge base, and resolve customer questions instantly. Fin goes beyond basic responses: it uses natural language processing to detect meaning, clarify unclear queries, and connect shoppers to the right human agent when needed.

For online stores, this means faster resolutions and fewer abandoned carts. Whether customers are asking about order tracking, refunds, or sizing details, Intercom’s system provides a clear, branded response every time. The platform also gives teams deep insight into customer behaviour, helping you spot patterns, refine communication, and improve the buying journey.

Standout features

Fin AI chatbot: understands questions, retrieves accurate answers, and learns from each conversation.
Unified inbox: brings together conversations from website, email, and mobile apps in one place.
Knowledge base integration: automatically pulls verified answers from your help centre.
Proactive messaging: sends targeted messages or offers based on user actions or shopping behaviour.
Advanced analytics: tracks resolution times, customer satisfaction, and conversation trends.

What we liked

Fin feels more human than most chatbots, it understands natural phrasing and tone.
The interface is smooth, intuitive, and easy for support teams to manage daily.
Strong automation tools help reduce repetitive tasks while maintaining a personal touch.
Deep reporting helps ecommerce teams learn where customers struggle and how to improve.

What we disliked

Intercom’s pricing can quickly increase as your customer base or conversation volume grows.
The system has a learning curve, especially for teams new to automation.
Some advanced AI and analytics features are only available on higher plans.

7. Engati

Engati is an all-in-one conversational platform built to help ecommerce businesses automate support, boost sales, and stay connected with customers across multiple channels. It combines chatbots, live chat, and AI-powered workflows into one system, making it a strong choice for teams that want flexibility without complex setup.

What makes Engati appealing is its channel reach. You can deploy your chatbot on websites, WhatsApp, Messenger, Instagram, and even mobile apps, all managed from a single dashboard. The platform’s visual builder lets you design custom chat journeys for everything from answering FAQs to recommending products or sending delivery updates.

Engati also comes with pre-trained ecommerce templates and AI intent detection, which means your chatbot can understand common questions right from the start. And for businesses that prefer a personal touch, live agents can jump into the conversation at any time. This blend of automation and human support gives customers the quick answers they expect without losing that friendly tone.

Standout features

Omnichannel support: deploy your chatbot across web, mobile, and messaging apps like WhatsApp and Instagram.
Visual chatbot builder: create and customise chat flows without any coding.
AI intent recognition: understands customer intent and responds with relevant answers automatically.
Ecommerce templates: ready-to-use flows for cart recovery, product recommendations, and order tracking.
Human handover: easily switch from automated chat to live agent conversations when needed.

What we liked

Excellent for businesses that want to be available on every major chat platform.
Simple drag-and-drop builder that makes chatbot setup fast and approachable.
Good mix of automation and human support ensures conversations stay helpful, not robotic.
Comes with templates that make it easier for smaller teams to start seeing results quickly.

What we disliked

The interface can feel a bit dated compared to newer chatbot tools.
Some advanced analytics and integrations require custom configuration.
While the AI works well for common queries, it needs more training for complex scenarios.

8. ProProfs Chat

ProProfs Chat is designed for ecommerce businesses that want to deliver fast, friendly, and personal customer service without heavy technical setup. It combines live chat with AI-powered automation, giving your support team a reliable assistant that handles FAQs, tracks orders, and helps shoppers find what they’re looking for, before they even have to ask.

One of ProProfs Chat’s biggest strengths is how approachable it is. The interface feels simple and intuitive, which means you can set up your chatbot, customise greetings, and integrate it with your website in just a few minutes. For smaller ecommerce teams, that ease of use makes a real difference, it lets them focus on customers instead of coding.

The platform also supports proactive chat invitations, meaning your bot can start conversations with visitors who spend time on key pages, like product listings or checkout. Combined with built-in analytics and CRM integrations, ProProfs Chat helps businesses understand visitor intent and convert casual browsers into buyers.

Standout features

AI-powered chat automation: answers common questions, helps track orders, and routes complex issues to live agents.
Proactive chat triggers: automatically engages customers based on time spent or actions on your site.
Customisable chat widgets: easy to brand with your store’s colours, tone, and style.
CRM and help desk integrations: connects with tools like Salesforce, Zoho, and HubSpot for smoother workflows.
Analytics dashboard: tracks visitor behaviour, response times, and chat performance.

What we liked

Very easy to set up, ideal for ecommerce teams without a technical background.
The proactive chat feature helps start conversations at the right moment.
Lightweight, clean interface that fits well with most online stores.
Integrates well with popular CRMs, making data management easier.

What we disliked

The chatbot is better for handling FAQs than advanced conversational AI.
Design customisation options, while simple, are somewhat limited.
Some features, like advanced reporting or multi-language support, require higher-tier plans.

What to look for when choosing an ai chatbot for your e-commerce store?

Selecting the right AI chatbot isn’t about ticking every feature box, it’s about choosing one that fits your store’s needs and scale. Below, we’ve laid out the key capabilities that distinguish a solid e-commerce chatbot from a basic one. Use this as your checklist while comparing tools.

Must-have capabilities

Seamless system integrations
Your chatbot should connect with the systems you already use, your CRM, e-commerce platform, product catalogue and inventory tools. Without this, the bot can’t pull accurate data or act on it.
True omnichannel presence
Today’s shoppers don’t just visit your website; they message you on Instagram, WhatsApp, Facebook Messenger or even via apps. Your chatbot should meet them where they are and follow the conversation across channels.
Intelligent, human-like conversation
Automation alone won’t cut it anymore. The best bots understand intent, respond in natural language, adapt to user cues and know when to hand off to a human agent.
Access to actionable analytics
What data does the chatbot collect? How many chats convert into sales? Which flows cause drop-outs? A vendor that gives you clear insight into those questions puts you in control.
Scalability and flexibility
As your store grows or shifts focus (new markets, languages, channels), your chatbot must keep up, without forcing a full rebuild. Adaptable AI + drag-and-drop logic help.

Extra features that drive value

Cart recovery & upsell nudges – The chatbot spots when a shopper lingers or abandons a cart, then nudges with an offer or product suggestion.
Multilingual support – If you sell internationally, you need a bot that speaks your customers’ language. No one wants the awkward “translated-by-machine” experience.
Visual search & product discovery support – Shoppers often want to find “something like this photo” rather than type a description. Chatbots with image-search capabilities offer a smoother experience.
Secure and compliant data handling – Your bot will deal with personal data, orders and payments. Ensure the vendor meets data-security standards and keeps user trust intact.

Setting expectations

A chatbot won’t replace your team overnight, but it will reduce routine workload, boost efficiency and help conversations feel personal around the clock.
Start simple: pick two or three key use cases (e.g., FAQs, cart recovery, product recommendations), then expand.
Re-visit performance monthly: use the analytics to refine intents, flows and hand-over triggers.
Don’t assume a cheap bot is sufficient, missing integrations or poor conversation quality often cost more in lost sales and brand trust.

By checking off these capabilities and tailoring your choices to your goals, you’ll be much better positioned to pick a chatbot that helps your store grow, not just keep up.

Best practices for e-commerce chatbots

Adopting an AI chatbot for your e-commerce store isn’t just about choosing a tool, it’s about how you build it, integrate it, and keep it evolving. Below are practical, human-centric guidance points to help you get it right.

Set clear objectives and define use cases

Before you let a bot loose on your site, ask: What do you want it to achieve? Is it answering FAQs, recovering carts, upselling, or something else? When objectives are clear, your chatbot can be built to perform those tasks, not try to do everything and succeed at nothing.
Decide which use cases matter most to your store. Perhaps it’s handling shipping questions, guiding customers to the right product, or turning social-messenger chats into orders.

Integrate with your existing systems

The smartest chatbots don’t work in silos, they pull in real data from your CRM, inventory system, order workflows and more. Without that connection, the bot becomes just another “chat widget” instead of a true assistant.
Make sure your chosen platform can read your stock levels, recognise returning customers, and update your backend workflows automatically.

Design for conversational clarity and human-feel

A bot that sounds like a script will feel brittle. Instead:

Use natural language and friendly tone.
Clearly show what the bot can and cannot help with (“I can help with your order or payment; for complex Returns we’ll connect you to a human”).
Build conversation flows that feel intuitive and guide the shopper gently.
Think of the chatbot as your “store assistant” rather than just a FAQ machine.

Monitor, learn and iterate

Launch is only the start. A high-ROI chatbot keeps getting better through usage data, customer feedback and tweaks. Track KPIs such as how many chats convert to sales, how many require human hand-over, delay in responses, and drop-out points.
Use these insights to refine your flows, fix broken logic, and improve the experience for your shoppers.

Ensure compliance and security

Your chatbot will handle shopper data—names, addresses, order details—and possibly payment-related conversations. Make sure your system is compliant (for example with GDPR in Europe), securely handles data, and builds trust with your customers.

Keep the human hand ready

Even the best automated bot can hit its limits. Make sure you have a clear path for the shopper to move from bot to human. This hand-over should feel seamless. This combination of automation + human will create the best experience.

Final words

The future of online shopping is personal, fast, and conversational, and AI chatbots are at the centre of it. Whether it’s guiding shoppers through their purchase, answering questions in seconds, or keeping carts from being abandoned, the right chatbot can completely transform how customers experience your store.

The key is to choose a solution that works with your team, not just alongside it. A chatbot that connects to your systems, speaks your brand’s language, and understands your customers’ intent can help you scale smarter without losing the human touch.

At Trengo, we make that possible. Our AI HelpMate empowers ecommerce teams to deliver 24/7 support, automate repetitive work, and create effortless buying journeys, all from one platform.

Ready to see how it works in action?

Book a free demo and discover how Trengo can help your store deliver faster, smarter, and more personal customer experiences.

Frequently Asked Questions (FAQs)

How do AI chatbots help online stores increase sales?

AI chatbots assist online stores by engaging visitors instantly, providing personalised product recommendations, answering queries 24/7, and guiding customers through the buying process. By reducing friction and enhancing user experience, chatbots help increase conversion rates and average order value. Platforms like Trengo integrate AI chatbots that blend sales automation with service excellence.

Are AI chatbots effective for small online stores?

Yes, AI chatbots are highly effective for small online stores as they offer automated customer support without requiring large teams. They help small businesses compete by providing quick responses, personalised shopping experiences, and upselling opportunities. Trengo’s scalable chatbot solutions are ideal for small stores looking to grow efficiently.

How do I add an AI chatbot to my eCommerce store?

You can add an AI chatbot by selecting a chatbot platform compatible with your eCommerce system and configuring it to match your brand and product catalogue. Platforms like Trengo offer easy integration with popular eCommerce platforms, providing tools to customise chatbot conversations and automate common inquiries.

What are the best practices for setting up an AI chatbot for online shopping?

Best practices include defining clear chatbot objectives, mapping customer journeys, personalising interactions, training the chatbot with your product data, and continuously analysing performance. Integrating chatbot automation with live agent support via Trengo ensures a seamless customer experience.

Can AI chatbots answer product-related questions accurately?

Modern AI chatbots can answer product-related questions accurately when trained on detailed product information and FAQs. They use natural language processing to understand queries and offer relevant responses. Platforms like Trengo enable continual learning and updates to maintain chatbot accuracy.

Can AI chatbots handle order tracking and returns automatically?

Yes, AI chatbots can handle order tracking and initiate return processes by integrating with order management systems. This automation provides instant status updates and guided return instructions, reducing support workload. Trengo supports such automations for efficient customer service.

How do AI chatbots help upsell or cross-sell products?

AI chatbots analyse user behaviour and purchase history to recommend complementary or higher-value products during customer interactions. They prompt customers with relevant offers contextually, boosting average order values. Trengo’s chatbot features include sales automation tools designed for upselling and cross-selling.

How do AI chatbots learn from customer interactions?

AI chatbots use machine learning algorithms to improve responses based on customer interactions, feedback, and new data. They adapt language understanding and suggestions over time, increasing accuracy and relevance. Platforms like Trengo implement continuous training and feedback loops for chatbot optimisation.

Which chatbot platforms integrate with Shopify, WooCommerce, or Magento?

Popular chatbot platforms including Trengo, ManyChat, and Intercom offer native or API integrations with Shopify, WooCommerce, and Magento. These integrations enable seamless data syncing and allow chatbots to provide personalised shopping assistance directly within eCommerce stores.

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