AI Shopping Assistant vs chatbot
A traditional chatbot follows a script and matches questions to fixed answers. The AI Shopping Assistant answers from your own catalog and store data, understands what the shopper means, remembers the conversation and completes tasks through custom workflows.
What is a traditional chatbot?
Section titled “What is a traditional chatbot?”A traditional chatbot follows a script or a decision tree. It matches a shopper’s question to one of a fixed set of answers that someone wrote in advance. When a question falls outside the script, the traditional chatbot escalates it, usually to a help center article or a contact form.
That design works for a short list of predictable questions. It struggles with product questions, because a catalog holds far more facts than anyone can script. It also struggles with follow-ups, because each message is matched on its own.
How is the AI Shopping Assistant different from a traditional chatbot?
Section titled “How is the AI Shopping Assistant different from a traditional chatbot?”The AI Shopping Assistant answers from your catalog and store data instead of a script. It understands what the shopper means, remembers the conversation and sends each question to a specialist agent built for that kind of question.
| Traditional chatbot | AI Shopping Assistant | |
|---|---|---|
| Core job | Deflect common questions | Help shoppers find products, get answers and complete tasks |
| What it answers from | Answers written into the script | Your catalog, store data and the training documents you add, plus general knowledge of your field when it is confident |
| How it reads a question | Matches keywords or menu choices | Understands intent and rewrites short follow-ups into full questions |
| Memory | Each message stands alone | Remembers the recent conversation |
| How it is built | One script or decision tree | Specialist agents that share one data layer |
| Tasks | Links to a form or a help article | Custom workflows that collect details, open a helpdesk ticket or hand off to a person |
| When it doesn’t know | Repeats a fallback message | Says so or asks a clarifying question. A custom workflow can offer a path to a person |
| What you control | The script | Which specialist agents run, what they know and how they behave |
How specialist agents work together explains how the AI Shopping Assistant routes each question.
Why does the data behind the answers matter?
Section titled “Why does the data behind the answers matter?”The AI Shopping Assistant is only as good as the data it reads. Its answers come from the Commerce Context Engine, which connects your catalog, store data and expert knowledge into one context the specialist agents share.
A traditional chatbot can only repeat what its script says. The AI Shopping Assistant can answer a question nobody wrote down in advance, as long as the fact lives in your data. That is why getting product data ready is part of setting up the AI Shopping Assistant.
How does the AI Shopping Assistant get things done?
Section titled “How does the AI Shopping Assistant get things done?”The AI Shopping Assistant completes tasks through custom workflows you build in the console. A custom workflow can collect a shopper’s details, show a message, open a ticket in your helpdesk or hand the conversation to a person.
Where Order & Returns Management is set up, the AI Shopping Assistant can also look up orders a verified shopper has placed. Custom workflows lists what each workflow block does.
Is the AI Shopping Assistant the same as an AI shopping agent?
Section titled “Is the AI Shopping Assistant the same as an AI shopping agent?”The AI Shopping Assistant and an AI shopping agent are different things. An AI shopping agent, such as a general AI chat app, acts for the shopper. It reads many stores to recommend or buy products.
The AI Shopping Assistant runs on your own storefront and acts for your store. It answers from your own data and follows your rules. The glossary defines both terms.
Key takeaways
Section titled “Key takeaways”- A traditional chatbot matches questions to a fixed script and escalates anything outside it.
- The AI Shopping Assistant answers from your catalog and store data, understands intent and remembers the conversation.
- Specialist agents on one shared data layer handle different kinds of questions in a single chat window.
- Custom workflows let the AI Shopping Assistant complete tasks and hand conversations to a person.
- An AI shopping agent acts for the shopper across many stores. The AI Shopping Assistant acts for your store on your storefront.
Frequently asked questions
- How is the AI Shopping Assistant different from a traditional chatbot?
- A traditional chatbot matches questions to a fixed script. The AI Shopping Assistant answers from your catalog and store data, understands intent and remembers the conversation. It also completes tasks, such as opening a helpdesk ticket, through custom workflows.
- What does the AI Shopping Assistant do when it doesn't know an answer?
- It says so or asks a clarifying question. A custom workflow can collect the shopper's details, open a helpdesk ticket or hand the conversation to your team.
- Does the AI Shopping Assistant replace my help desk?
- No. It works with the helpdesk you already use. Questions it can answer get answered in the conversation. Conversations that need a person reach your team through a custom workflow or a helpdesk connector.
- Is the AI Shopping Assistant the same as an AI shopping agent?
- No. An AI shopping agent, such as a general AI chat app, acts for a shopper across many stores. The AI Shopping Assistant runs on your own storefront and answers from your own data.