How to connect your e-shop with AI: from recommendations to selling through ChatGPT

In short

• AI in an e-shop today isn't just a chatbot — it helps with search, recommendations, product descriptions, customer support and order management
• A new opportunity is selling through AI assistants: customers increasingly ask ChatGPT or Claude what to buy
• An e-shop connects to AI assistants via an MCP connector — the AI then sees current products, prices and availability
• The key is high-quality product data: without it, AI has nothing to base good recommendations on
• A custom e-shop with an MCP connector starts from €3,900 excl. VAT

Shopping is moving into conversation. Instead of browsing categories and filters, customers increasingly ask: “What gift for my mom under €50 would you recommend?” — either directly in the e-shop or in an AI assistant like ChatGPT. An e-shop that can't answer such a question loses customers.

In this article, we show how AI can be put to practical use in an e-shop: from simple steps that save time running the store to connecting your e-shop with AI assistants via MCP.

Where AI helps most in an e-shop

Natural-language search

Classic search looks for words. AI search understands intent — “waterproof hiking jacket for a child” finds the right products even if those exact words aren't in the description.

Recommendations and a shopping assistant

An assistant in the e-shop asks the customer about their needs, budget or size and recommends specific products from the range — with current price and availability. Like an experienced salesperson, only 24 hours a day.

Customer support

Questions about order status, shipping, returns or complaints are handled by an AI chatbot connected to the order system. More complex cases are handed over to a human.

Product content

AI drafts product descriptions, translations into Czech or German, SEO copy and structured attributes for a person to review and approve. With hundreds of products, that's a big time saving.

Store management

Sales overviews, alerts for products running low, or answers to questions like “which products sold best last month?” — right in a conversation with an AI assistant connected to the e-shop.

Selling through ChatGPT and Claude: connecting via MCP

The biggest change of recent months is that AI assistants can connect directly to companies' systems. This is made possible by MCP (Model Context Protocol) — an open standard through which an AI assistant securely accesses your e-shop's data and functions.

In practice, this means:

• for customers — the AI assistant can find your products, check their availability and price and recommend them in its answer,
• for you — in ChatGPT or Claude, you can manage your e-shop in natural language: add a product, change a price, write a blog post or check an order's status.

We show how it works in practice in our case study an e-shop with an MCP connector for Art by Lucia. For a technical explanation, see our article MCP connector: how to connect an AI assistant to your website.

It won't work without good data

AI only recommends what it understands. If products have short descriptions, missing attributes and unclear categories, no model can build a good recommendation from them. That's why the first step almost always targets the data:

• complete, structured attributes — dimensions, material, sizes, compatibility,
• clear descriptions that answer customers' questions rather than just repeat the name,
• current availability and prices straight from inventory,
• structured data (schema.org) for search engines and AI — more in our article SEO, AEO and GEO.

The good news is that this work pays off twice: better data also improves classic SEO and feed-based campaign performance.

How to start: 4 steps

1. Pick one problem. Lots of support questions? Customers can't find products? Descriptions take weeks? Start where it hurts most.
2. Check your data. Make sure your catalog has attributes and descriptions the AI can draw on.
3. Run a pilot. For example, an AI chatbot for support or a shopping assistant in one category.
4. Measure and expand. Track conversions, the number of questions handled and time saved. Then add an MCP connector and more features.

What it costs

Indicative pricing (excl. VAT):

• Custom e-shop with an MCP connector — from €3,900 (custom design, PWA, AI assistant integration).
• E-shop with feeds and accounting integration — from €6,900.
• AI chatbot for an existing e-shop — from €1,500.
• MCP server for an existing system — from €5,000.

How we help

We build custom e-shops on the Laravel and Symfony frameworks and connect them with AI models from OpenAI and Anthropic. We can deliver a new e-shop with AI features built in, or add AI to the one you already have — including inventory, accounting and product feed integration. We work for e-shops in Slovakia, the Czech Republic and Austria.

Frequently asked questions

How can AI be used in an e-shop?

For natural-language search, product recommendations, customer support, writing and translating product descriptions, and managing the store through an AI assistant. The best results come from AI connected to the e-shop's current data.

What is an MCP connector for an e-shop?

A connection between an e-shop and AI assistants such as ChatGPT and Claude via the open Model Context Protocol standard. The assistant then works with current products, prices and availability and can also manage the e-shop.

Can AI be added to an existing e-shop?

Yes. We can connect both an AI chatbot and an MCP connector to an existing e-shop via its API. With very old or closed platforms, a new custom e-shop sometimes makes more sense.

How much does an e-shop with AI cost?

A custom e-shop with an MCP connector starts from €3,900 excl. VAT. An AI chatbot for an existing e-shop from €1,500 and an MCP server for an existing system from €5,000 excl. VAT.

Do I need better product descriptions for AI?

Usually, yes. AI only recommends based on the data it has. Complete attributes and clear descriptions are the foundation — and they also help SEO and ads.

Prices are indicative, excl. VAT, valid as of October 6, 2026.
Authors: the MR. Digital team