aceArt · AI Agency

AI in the online shop

In a shop it shows up quickly whether AI is worth anything, because you can see it in the numbers. People who find nothing do not buy. People who read a product description copied out of the manufacturer's data sheet buy somewhere else. And people with one last question at checkout drop out when it stays unanswered. Those are the three places we start.

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Product data nobody keeps up voluntarily

The biggest lever in most shops is not the design, it is the catalogue. Descriptions from the supplier feed read the same everywhere, attributes have gaps, categories are kept inconsistently, and with a thousand articles nobody goes back over that by hand.

  • Generate descriptions from the attributes and data sheets you already have, in your tone of voice and with your arguments instead of the manufacturer's wording.
  • Fill in missing attributes from free text, so filters and search finally work all the way through.
  • Sort and tag articles automatically, even with new supplier data arriving all the time.
  • Translations into further languages, though somebody with subject knowledge should read them over.

What matters here is where the text comes from. A model that writes freely invents properties the product does not have, and in retail that is not a small thing. So we generate descriptions out of your actual data and put them up for approval instead of publishing them straight away.

Search that understands what is meant

The classic shop search compares character strings. Somebody searching for "jacket for rain" finds nothing when the product is called "waterproof hardshell". A semantic search compares meaning instead, and suddenly the same input returns the right results.

The effect is measurable straight away, because searches without results are one of the most expensive spots in a shop. So the first thing we look at is what people search for in your shop without success. That list is often instructive before any technology comes into it, because it shows which products customers expect from you and do not find.

Advice at the point where it is missing

In a shop you simply ask somebody. Online the question hangs in the air, and the answer sits on page four of the data sheet. An advice bot that knows your product data catches exactly those cases: does this fit with that, which size do I need, what is the difference between these two models?

It answers only from your data and says where the information came from. What it does not know it hands over to a person, rather than making it up. Wrong product information is no cosmetic flaw in retail, it is a reason for a return. Technically this is the same foundation as our AI chatbots.

WooCommerce and other systems

We build shops ourselves, mostly with WooCommerce, and that changes the shape of projects like these. Product data, variants, tax logic and checkout are familiar ground, so the AI functions end up where they belong in the system instead of standing next to it as a foreign body.

More on our shop work on the WooCommerce page. We work with other systems as well, as long as they come with a usable interface. If the shop still has to be built, start with online shop development.

Where to start

Almost always with the product data, and for part of the range rather than all of it. The reason is simple: better data improves search, filters, advice and findability on Google at the same time. Anyone who starts with the advice bot instead builds it on a catalogue that does not tell it enough.

Findability belongs in this too, precisely because buying research increasingly happens inside AI assistants. What that takes is on the page about visibility in AI search.

Frequently asked questions about AI in the online shop

Can AI write our product descriptions?
Yes, and that is usually the best way in. What decides the outcome is that the texts come out of your actual attributes and data sheets rather than being written freely, otherwise the model invents properties. We put the results up for approval instead of publishing them straight away, at least until the quality is proven for your range.
Does AI-written text harm rankings on Google?
The problem is not how a text came about, it is how interchangeable it is. A thousand descriptions that all sound the same and say nothing beyond what stands in the data sheet rank badly, whether written by hand or not. Texts that come out of your real product data and answer questions work well.
What is a semantic search?
A search that compares meaning instead of character strings. Somebody looking for a rain jacket will also find the product listed in the catalogue as a waterproof hardshell. It does not necessarily replace your existing search, it steps in where that one finds nothing.
Does this work with WooCommerce?
Yes. We build WooCommerce shops ourselves, so the connection to product data, variants and checkout is routine for us. Other systems work too, as long as they come with a usable interface.
What does it cost to run?
With product data the bulk of the cost falls once, because a description is generated once and then stored. Running cost comes from the search and the advice bot, per request in both cases. We work that out in advance from your visitor numbers and cache frequent requests.
What if the advice bot says something wrong?
It answers only from your product data and states its source, so a mistake stays traceable. For questions outside its knowledge it hands over to a person. On topics with legal weight, approvals or safety instructions for instance, we deliberately keep it out.
Is it worth it for a small shop?
With a few dozen articles you will keep the data up to date faster yourselves than any automation pays for itself. It gets interesting from a few hundred articles, or when new supplier data keeps arriving. Semantic search is worth it earlier, as soon as customers regularly find nothing.
Can we start with part of the range?
We would even recommend it. One product group is enough to see whether the quality holds and whether anything moves in the numbers. Only after that is it worth pulling the rest along.

Related topics

WooCommerce agency

Shop development, maintenance and operation from one team. To the WooCommerce agency.

AI chatbots & RAG

The basis of the advice bot, outside the shop as well. To the chatbot development page.

Visibility in AI search

So your products also turn up where buying research happens today. To AI search optimisation.

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