What can AI do for a store or retail chain?
In retail, AI takes over the work that revolves around reading, writing and looking things up: answering customers' product questions, preparing order proposals, writing product copy and drafting customer messages. Contact on the shop floor and the choices about range and price stay with you and your team.
A store has a lot of work that happens alongside selling. Questions via the website and WhatsApp, order lists, copy for new products, messages about returns. The information for that is in your product range, your sales figures and your terms.
There are two ways to handle that work with AI. You use an AI assistant such as ChatGPT or Claude yourself for copy and overviews. Or you have an AI agent set up: a digital worker that is connected to your systems and prepares or handles tasks on its own. What that is, is explained in what is an AI agent.
Which tasks does an AI agent take over in retail?
In retail, an AI agent takes over four kinds of tasks: answering product questions, preparing order proposals, writing product copy and newsletters, and handling customer messages about orders and returns.
Answering product questions
"Is this jacket waterproof?" "Do you have this model in size 44?" The agent answers such questions via your website or WhatsApp with the data from your product range. If a product is sold out, it names a comparable item or the branch that does have it.
Needed: your product data with specifications and prices, and a current stock level from your point-of-sale system. Human check: questions the product data does not answer go to an employee. Spot-check part of the conversations.
More about this use case is in AI agent for customer service.
Preparing order proposals
The agent compares your sales figures with the stock, the minimum stock and the delivery times. It prepares an order proposal per supplier and flags items that have been in stock for a long time.
Needed: an export of sales and stock from your point-of-sale system, and your arrangements on minimum stock and delivery times. Human check: the buyer goes through the proposal and places the order. A proposal based on earlier sales does not take into account what you know about a promotion, the weather or a new collection.
Writing product copy and newsletters
You supply the supplier's specifications. The agent turns them into product copy in the tone of your store and prepares a draft for the newsletter.
Needed: the specifications per product and a few of your own texts as examples. Human check: an employee checks whether sizes, materials and prices are correct before the copy goes online.
Customer messages about orders and returns
Customers ask where their order is, how returning works and when they get their money back. The agent answers these questions with the order data and with your own return terms.
Needed: read access to the order data and the text of your terms. Human check: complaints, damaged products and exceptions to the terms go to an employee.
If you mainly sell online, also read AI for e-commerce.
What can you do yourself today with ChatGPT or Claude?
With a ChatGPT or Claude subscription you can do four tasks faster yourself today, without integrations:
- Write product copy based on your supplier's specifications
- Draft a newsletter or social post about a new collection
- Have an export of sales figures summarized per product group
- Draft a reply to a complaint or a review
Remove customers' names and addresses before you enter a file, unless you use a business account with a data processing agreement. Recalculate the outcomes of a summary in your own export: a language model can copy a number incorrectly. What is a prompt explains how to write a good instruction.
Which rules apply to AI in retail?
Two frameworks matter most for AI in retail: the GDPR and the transparency rules of the EU AI Act. This describes what those rules ask for, as of October 2026. Put your own situation to a lawyer.
GDPR. Order data, customer accounts and data from a loyalty programme are personal data. Sign a data processing agreement with every AI supplier that processes this data for you and give the agent access only to what it needs for the task. What else you arrange is described in using AI in a GDPR-proof way.
Offers based on purchase behaviour. If you send offers based on earlier purchases, you process personal data for direct marketing. The GDPR asks you to inform customers about this in your privacy statement. A customer may always object to the use of their data for direct marketing (Article 21).
EU AI Act. The transparency rules have applied since 2 August 2026: a customer must know they are communicating with an AI system. Have the agent state that at the start of a conversation.
| Use | Who decides | Watch out for |
|---|---|---|
| Product questions | The agent informs | State that the customer is communicating with AI |
| Order proposal | The buyer | Go through the proposal before ordering |
| Product copy | An employee | Check sizes, materials and prices |
| Questions about an order or return | The agent informs | Complaints go to an employee |
| Offer based on purchase behaviour | The owner or marketer | Right to object to direct marketing |
How do you start with AI in your store?
You start with one task whose result you can easily check.
Step 1: choose the task. Product questions on the website or product copy for new items are suitable starting points.
Step 2: supply the sources. Bring together your product data, your return terms and the answers to your most frequently asked questions. The agent answers on the basis of these documents.
Step 3: test with existing questions. Put last month's customer questions to the agent and compare the answers with what your employees answered.
Step 4: start on one channel. Start on your website, for example. Set which topics the agent always passes on to an employee, such as complaints and warranty.
Step 5: read along and expand. Review part of the conversations during the first weeks. After that, add the stock level, a second channel or a new task.
Frequently asked questions
What can AI do for a store? AI answers customers' product questions, prepares order proposals based on your sales figures, writes product copy and drafts customer messages. An employee checks the result and decides on orders and prices.
Which data does an AI agent need in retail? Your product data with specifications and prices, a current stock level from your point-of-sale system and your return terms. For order proposals, add an export of your sales figures.
Can AI forecast my stock? An AI agent prepares an order proposal based on your sales figures, stock and delivery times. The buyer goes through it and decides, because the proposal does not take into account what you know about promotions, weather or a new collection.
Do I have to tell customers they are chatting with AI? The transparency rules of the EU AI Act have applied since 2 August 2026: a customer must know they are communicating with an AI system. Have the agent state that at the start of the conversation.
What does AI cost for a retailer? A 1-on-1 AI training costs from €449 excl. VAT. The implementation of an AI agent starts from €1,495 one-time, on invoice (as of October 2026). Read more about what an AI agent costs.
Using AI in your organization?
Curious what a digital worker can concretely do for retailers? Check our AI agent for retailers or read what an AI agent costs. Rather upskill your team first? Our 1-on-1 AI training covers that. Or book a free intro call.
