Short answer
A retail chatbot answers shopper questions in chat on a store's website, app or messaging channels. Scripted ones reply from a fixed flow; AI retail chatbots read live orders and products, and the best can act: change an address, start a return.- Also called
- Chatbot for retail, retail AI chatbot, retail bot
- Busiest questions
- Order status, returns, sizing, stock, store pickup
- Needs access to
- Orders, product catalog, policies
- Measure it by
- Questions resolved, not chats deflected
Retail chatbots are the most common way retailers start with conversational AI, and there are two kinds that behave very differently. A scripted retail chatbot matches the shopper's message to a prepared flow and returns the mapped answer: store hours, the shipping policy, a link to the returns page. An AI retail chatbot reads the store's live data, the order, the catalog, the stock level, and answers about this shopper's situation. The most capable ones go a step further and act: cancel the order, fix the address, start the return.
What shoppers ask a retail chatbot
A retail queue is mostly order-specific questions, not general ones.
- Order status. "Where is order 4831?" The answer is in the order and the carrier's tracking, not in a policy page.
- Changes before shipping. Cancel the order, change the size, correct the address.
- Returns and exchanges. Is this still returnable, how do I send it back, where is my refund.
- Product questions. Sizing and fit, materials, what goes with what, whether it is in stock in medium.
- Store pickup. Is my buy-online-pickup-in-store order ready, and where do I collect it.
- Policies. Shipping times, return windows, duties on international orders.
A scripted bot can only handle the last group. Everything else needs the order system, the catalog or the fulfillment record.
In Aide Chat, Aide knows which product, variant or collection page the shopper is looking at, and suggests products as a carousel with add to cart, sticking to the options each product actually has.
Retail chatbot examples
Two versions of the same conversation show the difference.
Scripted: a shopper writes "I just moved, can you send my order to my new address?" The bot replies with a link to the shipping policy and a contact form. The shopper fills in the form, and a person answers the next day, by which time the parcel has left for the old address.
AI that acts: the same message. The chatbot checks the shopper owns the order, sees it has not shipped, collects the new address, updates it on the order and confirms the change in the reply. If the order has already shipped, it says so and hands the conversation to the team with the order attached.
Scripted retail chatbot vs AI retail chatbot
| Scripted retail chatbot | AI retail chatbot that acts | |
|---|---|---|
| Answers from | Prepared flows and FAQs | Live orders, catalog and policies |
| Order questions | Sends a link or a form | Answers with the order in view |
| Actions | None | Cancellations, address changes, returns |
| Unusual requests | Loops or dead-ends | Hands off to a person with context |
| Success measure | Chats deflected | Questions resolved |
How to choose a chatbot for retail
- Check what it can read. If it cannot see orders and products, it can only answer policy questions.
- Check what it can do. Ask which order changes it can make, and who approves them.
- Check how it hands off. A shopper should reach a person easily, and the person should not have to ask for the order number again.
- Check how you test it. You should be able to see its answers on real past questions before shoppers do.
- Check how it is measured. A chat that ends because the shopper gave up should not count as a success.
Building a retail chatbot in house is possible, but most of the work is not the chat window. It is the connections to orders, catalog and returns, the rules about what it may change, and keeping its answers current when policies do. For most retailers, buying a tool that already connects to their store platform is faster.
The approach this page rejects is judging a retail chatbot by how many conversations it kept away from the team. A shopper who leaves without an answer was kept away too.
With Aide, step 4 is the agent's Preview, which states what each answer is drawn from. The chat's own settings preview answers as the live agent would, and can test as a named customer, with that customer's real orders and tracking, without the test reaching the inbox or the bill. A connected helpdesk inbox can also run in Watch only, where Aide decides and drafts on live conversations without sending anything.
Where Aide fits
Aide, the AI platform for customer service, is an AI retail chatbot for stores on Shopify. It answers shoppers in chat and email with their live order in view, reads stock, sizes and prices from the product pages, and for shoppers who prove the order is theirs it can cancel, change the shipping address or start a return. Refunds wait for a teammate to approve by default. The chat can run at its own AI level, so a store can let shoppers change orders in chat while helpdesk tickets stay as drafts for the team. It starts in the store's logo and brand colour, and after a handoff it keeps answering new questions until a teammate joins. See it on a live store at Aide for ecommerce.