How to connect Shopify order data to your AI chatbot: A 5-step guide

Stevia Putri

Stanley Nicholas
Last edited October 27, 2025
Expert Verified

If you run a Shopify store, I'm willing to bet there's one question that takes up half your support team's day: "Where's my order?"
It's relentless. You've probably even tried setting up a standard AI chatbot, hoping it would take some of the pressure off. But then you realize most of them can only parrot back what's on your FAQ page. They can't look up live order details, so your customers get generic answers and your team is still stuck manually digging up order numbers and tracking links.
What if your chatbot could actually handle it? I mean, really handle it, by looking up live order information and giving customers a real answer, instantly.
Good news: it can. And it's not some super-technical, developer-only project anymore. This guide will walk you through exactly how to connect Shopify order data to your AI chatbot, so it can start doing the work for you.
What you'll need to get started
First things first, you don't need to be a coding wizard to get this done. You just need a few key things on hand.
Here’s a quick rundown of what you’ll need:
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A live Shopify store: You'll need admin access to connect everything.
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The right kind of AI chatbot platform: This is the most important part. You need a bot that can handle what's called "custom API actions." It's just a technical way of saying the bot can ask Shopify for specific information, like an order's status. A lot of the simpler bots can't do this, which is why they just end up being glorified FAQ pages.
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Your usual store documents: Grab the links to your FAQs, return policy, shipping info, and any other documents you use to answer customer questions.
5 steps to connect Shopify order data to your AI chatbot
With the right platform, this whole process is surprisingly simple. We'll go from getting the basics in place to connecting the real-time data that makes all the difference.
Step 1: Choose a chatbot that can look up real-time data
Honestly, this is the step that makes or breaks the whole project. To answer "Where's my order?" your chatbot needs to be able to talk directly to Shopify in real-time. Tech folks call these "API calls" or "custom actions," but all it really means is that your bot can ask Shopify for details about a specific order the moment a customer asks.
A lot of the chatbots you'll find on the Shopify App Store just can't do this. They're designed to read from a fixed FAQ page. So, they can tell a customer what your shipping policy is, but they have no idea where that customer's actual package is. That's a huge difference, and it's why so many people get frustrated with chatbots.
You'll need a tool that's built for this kind of automation from the ground up. For example, platforms like eesel AI have a no-code workflow builder that lets you set up these custom actions to pull Shopify order data. It’s not just a nice-to-have feature; it’s the whole reason this kind of automation works. Plus, you can get it all running yourself in a few minutes without having to book a sales call.
Step 2: Install the chatbot and link it to your Shopify store
Okay, you've got your platform. Now it's time to connect it to your store. This part should be simple, no wrestling with code or API keys.
For instance, with a tool like eesel AI's Shopify integration, it’s pretty much a one-click affair:
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Sign up and create your first bot.
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Head over to the "Sources" section in the dashboard and click "Add."
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Just pick Shopify from the list of integrations and follow the login prompts to connect your store.
And you're done. Your bot can now see your product catalog and any help center articles you have. This gets the basic stuff out of the way, but now for the fun part: pulling in that live order data.
A screenshot of the eesel AI platform showing how to connect Shopify as a data source to begin training the chatbot.
Step 3: Train your bot on your basic knowledge
Before we get the bot looking up orders, it needs to learn the basics. You want it to be able to handle a simple question about your return policy without freezing up.
This is where you feed it all of your existing support info. Just give it the links to things like:
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Your Shopify help center
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Your public shipping and return policy pages
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Any other places you have answers, like in Google Docs or Notion
This is another spot where a more flexible tool makes a difference. Some bots can only read what's on your Shopify site, which can be limiting. With a platform like eesel AI, you can pull information from all over the place. The more context you give it, from old support tickets to internal guides, the better it will understand your business and sound like your brand.
An infographic illustrating how an AI chatbot can connect to various knowledge sources like Shopify, Google Docs, and internal guides to provide comprehensive answers.
Step 4: Set up a custom action to fetch Shopify order data
Alright, this is the part we've been building up to. We're going to tell the bot how to look up live order information. It sounds complicated, but tools like eesel AI use a simple drag-and-drop workflow builder, so you don't have to touch any code.
Here’s the play-by-play:
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Set the trigger. You start by telling the bot which questions should start this process. It can learn to recognize things like "track my order," "package status," or "where's my stuff?"
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Ask for the details. The bot knows it needs an order number or email to do anything. So, it will automatically ask the customer for that info.
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Run the action. This is the magic step. Using the built-in Shopify integration, you just select an action like "Get order details." The bot then sends the customer's order number over to Shopify to ask for an update.
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Give the answer. Shopify instantly sends back the latest details, fulfillment status, tracking number, all of it. You then set up a template for how the bot should share this with the customer. Something simple like: "Looks like your order #[Order ID] has shipped! Here's the tracking link: [Tracking Link]."
Being able to build this kind of custom logic without code is what makes a modern chatbot so much more useful than the old ones. It's the difference between a bot that's just for show and one that actually takes work off your plate.
A screenshot of the no-code workflow builder in eesel AI, showing how to set up a custom action to fetch Shopify order data.
Step 5: Test it out before going live
Flipping the switch on a new automation can be a little stressful. What if it doesn't work right? You don't want it giving customers weird answers and creating more tickets for your team. You shouldn't have to just launch it and pray.
That's why testing is so important. Some platforms, like eesel AI, include a Simulation Mode that lets you test everything safely behind the scenes.
You can run your new order-tracking bot against thousands of your past support conversations. The simulation will show you exactly how it would have replied in each case, how many questions it would have solved automatically, and if there are any spots that need a little tweaking.
This lets you go live knowing your bot is ready, instead of using your real customers as test subjects. It’s a huge relief.
A view of the eesel AI Simulation Mode, which helps you understand how to connect Shopify order data to your AI chatbot and test its effectiveness before going live.
Tips for success
Just getting the tech set up is one thing. To make the experience great for your customers, here are a few things to keep in mind.
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Give people an out. No bot is perfect, and sometimes people just want to talk to a person. Make it obvious and easy for a customer to ask for a human agent. A smart chatbot should know when to step aside and hand the conversation over to your help desk, whether you use Zendesk, Gorgias, or Freshdesk. And it should pass along the chat history so your agent isn't starting from scratch.
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Give your bot a personality. Your chatbot is part of your brand, so it should sound like it. Spend a little time defining its tone. If you sell skateboards, it should sound different than if you sell luxury watches. Keep it consistent with your brand voice.
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Start with one thing and grow. Don't try to automate everything on day one. Start with your biggest headache: the order status questions. Nail that, see the time you save, and then you can start building out new workflows for returns, product questions, or whatever else is filling your inbox.
Stop answering tickets and start growing your business
Connecting your Shopify order data to an AI chatbot isn't some massive, months-long project anymore. With the right kind of tool, it's something you can get up and running yourself in an afternoon.
The payoff is pretty clear: your team gets hours back every week, your customers get instant answers any time of day, and everyone can stop focusing on repetitive questions and start working on things that actually grow the business.
Ready to give it a try? You can sign up for eesel AI for free and connect your Shopify store in a couple of minutes to see how much time it can save you.
Frequently asked questions
You need a chatbot platform capable of handling "custom API actions," meaning it can actively request and retrieve real-time data from Shopify. Simpler bots often only parrot FAQ pages and cannot perform this crucial function.
No, you don't need to be a coding wizard. Modern platforms, like eesel AI, offer no-code workflow builders that make the process accessible and straightforward for anyone, even without technical expertise.
The main benefits include freeing your support team from repetitive "Where's my order?" questions, providing customers with instant, accurate order updates 24/7, and allowing your team to focus on more strategic, growth-oriented tasks. This significantly improves both customer satisfaction and operational efficiency.
Many platforms offer a "Simulation Mode" that lets you test the bot against thousands of past support conversations. This allows you to safely verify its responses and performance behind the scenes, ensuring it's ready before going live.
It's crucial to always provide a clear and easy option for customers to connect with a human agent. A smart chatbot should recognize when to escalate a conversation and seamlessly hand it over to your help desk, passing along the chat history to the agent.
The most critical first step is choosing an AI chatbot platform specifically designed to integrate with and fetch real-time data via API calls. This capability is fundamental to truly automating order status inquiries, unlike bots that only read static information.
To make your bot more robust, train it on all your existing support documentation, including your help center, public shipping and return policies, and other relevant documents from sources like Google Docs or Notion. This comprehensive training helps the bot understand your business better and sound like your brand.





