AI isn’t coming to ecommerce. It’s already here.
In fact, 88% of organisations now use AI somewhere in their business.
The question isn’t whether you should be using AI anymore. It’s whether you’re using the right tools.
Every week there’s another AI platform promising to revolutionise ecommerce. Better sales. Better customer service. Better marketing. Before you know it, you’ve got half a dozen subscriptions and no real idea whether any of them are making a difference.
The best AI tools solve a specific problem. They save your team time, improve the customer experience, or help you sell more. Everything else is just noise.
Here’s our take on the AI ecommerce tools that are genuinely worth considering, who they’re best suited to, and where we’d actually use them.
Where AI in eCommerce Tends to Go Wrong
Most AI projects don’t fail because the technology is bad.
They fail because businesses buy software before they’ve worked out what problem they’re trying to solve.
We’ve also seen businesses invest in clever personalisation tools, only to discover their product data is inconsistent. Or launch an AI platform that nobody really knows how to use because the team never received proper training.
That’s why we always start with the business challenge first. Once you know what you’re trying to improve, choosing the right AI tool becomes much easier.
The Tools Worth Your Attention
You don’t need every AI platform on the market.
In most cases, a handful of well-chosen tools will have a much bigger impact than trying to automate everything at once.
Here are the ones we’d actually recommend looking at.
Personalisation and Product Recommendations
One of AI’s biggest strengths is helping customers find products they’ll actually want to buy.
Instead of showing everyone the same products, AI can recommend items based on browsing behaviour, purchase history and customer preferences. That means a better shopping experience for your customers and higher average order values for you.
For most Shopify-based businesses, Nosto is a great place to start.
It’s built specifically for ecommerce, integrates nicely with Shopify and BigCommerce, and doesn’t need a developer every time you want to make a change. Your marketing team can manage campaigns, recommendations and merchandising without constantly relying on technical support.
If you’re on WooCommerce or you’ve got a larger catalogue and more technical resources, Algolia is another excellent option. Its AI-powered search is incredibly powerful, but it’s really search infrastructure at its core. You’ll get the best from it if you’ve got developers available to configure and optimise it properly.
The tool itself isn’t the important bit.
The important bit is making it easier for customers to find what they’re looking for.
Customer Service and Conversational Commerce
Nobody enjoys answering the same delivery question fifty times a day.
AI can take a huge amount of pressure off your support team by handling routine enquiries, surfacing order information and routing conversations to the right place.
For growing ecommerce brands, Gorgias is one of the strongest options available.
It connects directly with your ecommerce platform, pulls in customer order information automatically and uses AI to draft responses, categorise tickets and automate repetitive tasks. Your support team spends less time answering simple questions and more time solving the complicated ones.
If you’re running a smaller Shopify store, Shopify Inbox is a perfectly sensible starting point. It’s free, easy to set up and handles basic customer conversations well. It isn’t as feature-rich as Gorgias, but not every business needs enterprise-level support software on day one.
Content Generation
Let’s be honest.
Writing product descriptions for hundreds of products isn’t anyone’s favourite job.
This is one area where AI can genuinely save time.
If you’re already using Shopify, Shopify Magic is probably the easiest win. It’s built directly into the platform, requires no additional setup and can help generate product descriptions, email copy and other content inside your existing workflow.
Is it perfect?
No.
You’ll still want a human to edit the output, make sure it sounds like your brand and check the facts. But it gives your team a strong starting point instead of a blank page.
For larger businesses producing content across multiple channels, Jasper offers more flexibility and collaboration tools. It’s a better fit once content production becomes a bigger part of your marketing operation.
Product Discovery & Conversion
Getting visitors onto your website is only half the battle.
Helping them choose the right product is often where sales are won or lost.
That’s where AI can become really interesting.
Octane AI builds product recommendation quizzes that guide customers towards the right purchase. At the same time, it collects valuable first-party data that’s becoming increasingly important as third-party tracking continues to disappear.
It’s a clever way of improving conversions while learning more about your customers.
Alongside that, OptiMonk uses AI to optimise popups, offers and onsite messaging. Rather than showing every visitor the same promotion, it can tailor messages based on behaviour and continuously test what performs best.
Neither tool is about throwing more popups at people.
They’re about showing the right message at the right time.
Showing Up in AI Search
This is the area we’re watching most closely.
More shoppers are asking ChatGPT, Perplexity and Google’s AI Overviews what products they should buy instead of typing traditional searches into Google.
That changes things.
Getting your products recommended by AI is quickly becoming another traffic channel in its own right.
It’s still early days, and nobody can honestly claim they’ve completely cracked it yet. But there are some clear signals already emerging.
Customer reviews are becoming even more valuable. Platforms like Yotpo help businesses collect structured review data that can strengthen trust signals both for customers and AI systems.
There’s also a growing category of AI visibility tools designed to help brands understand how often they’re appearing in AI-generated answers.
We’re treating this space with cautious optimism.
It’s evolving quickly, and while there’s genuine opportunity, we’d avoid anyone claiming they’ve got a guaranteed formula.
The businesses that invest in high-quality content, structured product information and genuine customer reviews are likely to be in the strongest position as AI search continues to develop.
Improve Your AI Strategy
Buying software is easy.
Getting your team to actually use it is much harder.
That’s why implementation matters just as much as choosing the platform itself.
The right setup, sensible integrations and proper staff training will almost always deliver more value than chasing the latest AI trend.
At TH3, we don’t recommend tools because they’re fashionable.
We recommend them because they solve a genuine business problem.
Sometimes that’s introducing AI-powered product recommendations. Sometimes it’s improving customer service. Sometimes it’s deciding that you don’t actually need another AI platform at all.
The goal isn’t to use more AI.
It’s to use the right AI.
Want to see if AI could make an impact on your ecommerce store? Take a look at our AI ecommerce service, or get in touch and let’s build a strategy that makes commercial sense.
Research
- Anon (2022). What Is AI in Ecommerce? Salesforce.
- Carl Bleich (2026). 7 Ways AI in Ecommerce Is Revolutionizing Shopping in 2025. Bloomreach.
- Klizer (2026). How AI Impacts eCommerce UX? LinkedIn.
- Ravi Pandya (2026). How AI Works in Ecommerce: 7 Key Use Cases. Shopify.