AI for ecommerce has come a long way since I founded WebHummel in 2018. Actually, it’s come a long way since we rebranded from beefound.agency, which was only in April 2025!
And with such rapid developments, AI is often billed as a silver bullet, and every new tool promises to revolutionise the industry. The reality is a bit less glamorous, but there are plenty of practical ways to use it and see positive results.
In this blog, I’ll separate the hype from the reality of AI and ecommerce. I’ll explore how it’s already changed things, from customer service to forecasting, accounting, and fulfilment, and explore the pitfalls that catch many businesses out.
So, if you’ve wondered where AI is genuinely useful, where it falls flat, and where its impact is being felt, this blog is for you.
Skip to:
- Why AI matters in ecommerce
- Seven ways AI can help your ecommerce businesses
- AI search, GEO, and the 2026 landscape
- Risks and where AI goes wrong
- Final thoughts
Why AI matters in ecommerce
In reality, most problems facing ecommerce companies are pretty boring. Inconsistent product data, missed orders, inaccurate forecasting, and hours spent reconciling payments at the end of the month.
The real difference AI makes is speeding up these kinds of repetitive jobs that humans shouldn’t be doing manually, such as:
- Organising and tagging products
- Tidying images and file formats
- Predicting demand
- Managing simple support tickets
- Reconciling payments to orders.
In essence, it should be used to replace tasks, not humans, and when you see AI for ecommerce through this lens, you’ll find lots of ways to save time and improve your customers’ experience.
Seven ways AI can help your ecommerce businesses
1. Better product data and tagging
Incomplete product data can wreak havoc on your website. Filters don’t function, search results go wrong, and customers bounce straight into the arms of your competition.
AI-assisted tools like Shopify Magic and BigCommerce’s AI product personalisation can be a real help here, scanning product titles, descriptions, and images automatically. They can also assign attributes like colour, material, pattern, and product sizing, which can improve search accuracy and make filters more reliable on your site.
All of this has a direct impact on your conversions, because shoppers find what they want faster.
2. Bulk product description writing (with human oversight)
Nobody wants to sit and write hundreds of product descriptions manually. This might bring about the temptation to publish identical text across your catalogue, but that’s risky to say the least, with Google’s 2025 anti-spam update penalising thin, repetitive content. At beefound, we help ecommerce businesses with this process and write product copy that’s unique, accurate, and brand-led.
If you’d like to try it yourself, the safest middle ground for ecommerce retailers is to:
- Carry out keyword research using a tool like Semrush to find terms that best align with your products.
- Implement these keywords and key phrases in your business copywriting – using AI as a supplementary tool, rather than a crutch. (Nowadays, Google’s algorithms can easily detect thin, automated content that regurgitates others’ work; as such, there’s no substitute for human writing.)
- If you’re short on time, though, use AI to automate the grunt work of product meta using real product data, provided there is some human oversight to check the accuracy of the writing and incorporate your brand’s tone of voice, making sure it’s all unique. After all, AI-generated writing is better than duplicated or missing content!
- Publish your descriptions after they’ve been reviewed by somebody who understands your business and products.
Tools widely used for these purposes include LLMs (large language models) like Google Gemini and Jasper AI. ChatGPT is popular, too, and it can also help with some SEO optimisation tasks to give your product descriptions an extra boost in SERPs (search engine results pages).
3. Image optimisation
Images customers see on a website can be a big reason they buy or don’t buy. AI tools like Adobe Firefly, Canva’s Magic Studio, or Pixelcut are designed to help ecommerce brands in several ways, and can:
- Remove image backgrounds
- Crop images consistently
- Compress large files
- Generate image alt text
- Standardise lighting and colour.
This is great when product photography has been sourced from suppliers, for example, and the quality is a bit inconsistent. Cleaner images also make your site look more professional and help your pages load quicker, both of which can boost conversion rates.
4. A/B testing and ad targeting
AI is changing how ads run online. Google’s Demand Gen, for example, creates visually-appealing, multi-format ads for audiences on different platforms like YouTube, Gmail, and Display.
It does this with your brand assets, from videos to product images and headlines, which means you don’t have to rely on manual A/B testing to see what performs best. AI combines and rotates variations for each audience. This helps you reach more relevant customers, reduces how much you waste on ad spend, and helps you scale campaigns more quickly.
All of this keeps you more competitive, but bear in mind that the quality of the targeting and creative ideas is fundamental.
5. Chatbots and customer service
The likes of Tidio, Zendesk, and Gorgias use AI to handle simple enquiries quickly, which is why AI chat tools are now commonplace in the ecommerce world.
They’re able to detect customer intent and provide updates about orders, for example, and suggest replies for human support teams to implement. They can also forward more complicated tickets to human experts, which reduces bottlenecks. So, customers get better, faster responses, and your teams spend less time clearing repetitive, time-consuming questions.
Despite this, they’re not usually able to handle more complex queries, and overusing AI chatbots can be detrimental to your business. But don’t worry, we’ll cover that later.
6. Stock forecasting, packing, and fulfilment
When you think of AI ecommerce use cases, you probably don’t think past the digital just yet. However, platforms like Huboo use automation and machine learning to improve real-world fulfilment issues such as forecasting, packaging decisions, dispatch routes, and inventory management.
This can result in a better customer experience thanks to fewer errors, which is a godsend for ecommerce retailers struggling to keep up with demand in busy periods.
7. Accounting and reconciliation
Most online retailers didn’t get into business because of a passion for accounting. They love the selling part, but reconciling payments, issuing refunds and returns, and dealing with marketplace fees can cause a headache.
But tools like Xero and QuickBooks show how times are changing, as they use AI integrations to match and align Shopify and Amazon orders with bank transactions automatically. This means you don’t have to dread months end, and you can speed up processes you dislike with fewer mistakes.
AI search, GEO, and what’s changing in the future
Online search experienced a significant shift in the last few years, with Google no longer just ranking pages with keyword-match algorithms, but using AI overviews and AI Mode to summarise answers using ‘advanced reasoning’ capabilities. Something we expect to continue evolving come 2026 and beyond.
However, to cite a source or website, Google needs to trust it, which is built in numerous ways, such as:
- Useful content that answers customer questions
- Structured data
- Relevant internal linking
- Topic clusters around product categories.
Writing with strong EEAT (experience, expertise, authority, and trustworthiness) is also hugely important, particularly after Google’s 2025 update, which rewards real expertise and useful, helpful content over regurgitated information.
Getting this right is known as GEO (generative engine optimisation), which is becoming a crucial component of any ecommerce SEO. However, this doesn’t mean that you should churn out pages upon pages of AI content and product descriptions, expecting to get ahead in your industry. Because while Google does rank AI-generated content, quality is crucial, and thin content doesn’t cut the mustard.
So, if you publish lots of AI-generated, repetitive text, Google may detect it and deem your site as non-trustworthy. The result could well be fewer clicks and fewer sales for your ecommerce brand.
Where AI goes wrong
Okay, enough of the benefits of AI. Let’s get into some of the ways it can hamper your business.
1. Hallucinations
Yep, you read that right, AI is prone to “hallucinating”, which is when it predicts what it thinks is the most likely answer to a question instead of providing accurate facts. This means that left to their own devices, AI tools might simply make up product materials, safety claims, measurements, and even compliance rules.
If your business is operating in cosmetics, supplements, electronics, or children’s products, this can pose very real legal risks. Again, a human can rectify these mistakes before anything is published, which reiterates the importance of person-centred oversight when it comes to using AI for ecommerce.
2. Over-automating customer experiences
AI works well in all the cases we’ve spoken about above, from answering simple customer queries to order updates and delivery tracking. However, refunds, complaints, and other sensitive issues should always be handled by a real person, not a machine.
Because if someone’s received an incorrect order or a damaged delivery, the last thing they want is a chatbot giving them information they aren’t happy with. They want a human response with empathy and a solution provided.
Getting this wrong can make your brand feel cold and reduce trust fast, no matter the size of your business.
3. Privacy and data handling
Putting customer information, supplier pricing, or internal documents into public AI tools can breach privacy rules. So, it’s important to use anonymised data, secure platforms, and clear rules on what can and can’t be uploaded.
Again, this is particularly important for brands working in regulated sectors like healthcare, beauty products, or products aimed at children.
4. Letting AI run your business
Sounds silly, but lots of people are convinced that LLMs have all the answers and can make intelligent business decisions. This is a surprisingly common misconception, and while it can support your ecommerce operations, AI shouldn’t ever be in charge of important decisions.
It won’t solve any of your deeper problems, from choosing price points to improving weak products, and it’s only really useful when carrying out repeatable tasks or when used with relevant human judgment.
Final thoughts
When used responsibly, AI can help your ecommerce store stay organised, improve your customers’ experience, and reduce the manual admin on your plate. Instead of solving all your problems, its real value comes from supporting processes you already understand and providing genuinely helpful tools to speed things up.
Whether that’s cleaning up product data, standardising images, forecasting stock, or reconciling payments without spending hours hunched over a spreadsheet. All of these tasks can help make your online store easier to run.
That’s where AI makes the real difference, and where it can help ecommerce businesses run faster and more confidently. If you’d like to optimise your content so it’s more likely to be cited or recommended in AI search results, our PromptRank service can help you do exactly that.
