AI agents for e-commerce: what they do and where to start

Most webshops have already done something with AI: a product description via ChatGPT, maybe a chatbot widget. An agent is a step further. Where a chatbot answers what you ask, an agent executes a task: it reads the question, pulls up the order, decides what needs to happen and does it, or hands it to a human when unsure. For a full explanation of that difference: what is an AI agent. This piece is about practice: what agents concretely do for a webshop, what they can do via Shopify and WooCommerce, what the market charges, and what a realistic first step looks like.

Product descriptions and content

The classic entry point, because the volume is often large and the task is well-scoped. An agent pulls product data from your shop, writes descriptions in your own tone of voice, fills metadata and SEO fields, and pushes the result back. Tools like Describely do this with a direct Shopify integration and a WooCommerce plugin that saves content straight into your products. The pitfall: without human editing, bulk content quickly turns generic, and generic product pages don't sell. The setup that works is an agent that generates and a human who spot-checks. More detail in AI for product descriptions.

Customer service and inbox

This is where most webshops find the biggest time saving, because the majority of questions are predictable: where is my order, can I exchange, what are the shipping costs. An agent connected to your shop data answers those questions with the actual order status attached, instead of a canned reply. On Shopify this is the most developed: Gorgias sees orders, customer history and products, and handles recurring questions up to and including refunds autonomously. Gorgias works on WooCommerce too, but the integration is more limited and mostly read-only. Tidio with the Lyro chatbot connects to both platforms and is often a more logical first step for SMB shops than a full helpdesk.

The question to ask of every tool: can it only read, or also act? An agent that looks up an order status but can't do anything is a search engine. An agent that creates a return label itself takes over real work. How to set this up more broadly is covered on AI customer service.

Invoices and administration

Less visible than customer service, but a quiet hour-eater at growing shops: supplier purchase invoices, payment provider settlements, VAT per country. Tools like Klippa, Basecone and Dext read out invoices, propose a booking based on previous entries and forward it to your accounting package; Dext is notably good at VAT rules per country, relevant as soon as you sell internationally. The direction of travel is autonomous: the tool books entries itself when confident enough, and you only review the exceptions. The full comparison is in best AI for invoice processing.

Inventory and signals

An agent doesn't have to wait for a question. It can also flag things itself: a product selling faster than the stock can handle, a supplier whose invoices suddenly deviate from earlier prices, a spike in returns on one item. This is usually not an off-the-shelf tool but custom work on top of your existing data, which makes it a second or third step rather than a first one.

Phone: the agent that answers

The least known and fastest-maturing category. A voice agent answers the phone, handles first-line questions (order status, opening hours, return process), schedules callback requests and transfers to a human as soon as something falls outside its scope. This isn't a future promise: at DataDream an AI agent answers the phone itself, and it runs in production. For webshops it's most interesting outside office hours, when callers currently hit voicemail. Do mind the AI Act: the agent has to identify itself as AI right away. The full technology and trade-offs are in the voice AI guide.

Shopify or WooCommerce: the platform difference

For agents the platform difference is bigger than for regular tools. Shopify has the largest AI app ecosystem, and tools connect natively through the official app store: they can not only read but also act, like booking a refund or placing an upsell in the checkout. WooCommerce, being open source, gives you more freedom and control, but many strong AI tools offer a more limited or read-only integration there; autonomous action more often requires extra work with plugins or custom code. The rule of thumb: on Shopify you can pick the market leader per category, on WooCommerce you pick cross-platform tools combined with strong WordPress plugins. The full comparison per category is in AI tools for Shopify and WooCommerce.

What does it cost?

Market ranges, not a DataDream price list. A simple single-task agent, for example on a low-code platform like Make or n8n with a language model behind it, runs roughly 2,800 to 23,000 euro in build cost. An agent with two or three system integrations (shop plus accounting plus helpdesk) runs from around 23,000 to 140,000 euro, where for SMBs the bottom of each range is the starting point. Don't forget the monthly costs: API usage, subscriptions, hosting and monitoring, plus as a rule of thumb 15 to 20 percent of the build cost per year in maintenance. Off-the-shelf tools like Tidio or Gorgias are many times cheaper than custom work and are the logical starting point for the standard use cases. The full cost breakdown is in what does an AI agent cost.

Where it goes wrong in practice

Three patterns I keep seeing at webshops starting with agents. One: no human escalation. An agent that doesn't know when to hand over to a human gives a wrong answer when in doubt, and in customer service one confidently wrong answer does more damage than ten times "I don't know". Two: nothing gets measured. Without a baseline (how many hours does this process cost today) there's no way to establish afterwards whether the agent delivered anything. Three: too much at once. Trying to automate customer service, content and administration in one project gets you three half solutions and none that earns trust. One task, done well, measured. Then the next.

The realistic first step

Not everything at once. The approach that works is always the same pattern: pick the one process that demonstrably costs the most time. For most webshops that's the customer service inbox or the product content. Start there with the simplest solution that can handle the task, usually an existing tool rather than custom work. Let it run for a number of weeks and measure: how many questions were handled without a human, how many hours were freed up, what went wrong. Only when that measurement justifies it do you expand to the next task or to custom agents that sit deeper in your systems.

Not sure where to begin? The free AI Readiness Scan analyses your website and gives a first picture of where automation pays off fastest in your shop. And if you want an honest assessment of whether your case needs an existing tool or custom work: book a 30-minute call. If a 50-euro-a-month tool solves your problem, that's the advice.