A chatbot is software that interacts with users through text or voice. It can answer questions, provide information, or guide people through a process. When you visit an online store or service website, you may see a window asking, “How can I help you?” That window may be a chatbot.
Chatbots can handle simple tasks such as showing opening hours and tracking orders, or use artificial intelligence to analyze and respond to more complex requests.
Not all chatbots use artificial intelligence. Some follow rules and predefined responses, while others use technologies such as natural language processing and large language models to support more flexible conversations.
This article explains what chatbots are, how they work, their different types, and how businesses can use them.
How does a chatbot work?
How a chatbot works depends on its type and technology, but its response process generally involves four steps:
- Receiving a message: The user sends a question or request through text or voice.
- Analyzing the message: The chatbot examines the message to identify its subject and the user's intent.
- Finding or generating an answer: It selects or generates a suitable response using rules, stored information, or available knowledge sources.
- Displaying the answer: It shows the result to the user in the same conversation.
For example, if a shopper asks, “When will my order arrive?”, a chatbot connected to an order management system can check and report the order's status, provided it receives the necessary information. Otherwise, it may only offer general instructions for tracking an order.
Simple chatbots usually have predefined responses. AI chatbots can recognize different ways of asking a question, analyze intent, and provide a more appropriate answer.
Types of chatbots
Chatbots can be divided into three main groups according to how they operate:
1. Rule-based chatbots
These chatbots follow defined rules and paths. Each question or user selection has a predefined response or route.
For example, when a user asks about a company's opening hours, the chatbot displays the answer configured for that topic. If a question does not match the available options or rules, it may be unable to provide a suitable answer or may direct the user to a specific path.
Rule-based chatbots work well for frequently asked questions and simple processes, but have limitations when handling varied questions and complex conversations.
2. AI chatbots
AI chatbots use technologies such as natural language processing (NLP) and, in some cases, large language models (LLMs) to analyze users' intent and generate responses suited to the conversation.
Natural language processing helps a system analyze human language and better understand requests. Large language models can generate text based on patterns learned during training. However, not every AI chatbot uses a large language model.
For example, two users may express the same request differently:
- How can I return the product?
- What is your returns policy?
An intelligent chatbot can recognize that both questions concern product returns and provide a relevant response.
Not all AI chatbots have access to a business's own information. Some rely solely on a language model's general knowledge, while others connect to knowledge bases, documents, product information, and internal business systems.
This distinction matters for businesses. A general-purpose chatbot may provide general information about returns, but it needs access to a particular store's information to answer accurately about that store's rules.
For chatbots connected to business knowledge, response sources may include product descriptions, shipping and returns policies, FAQs, and internal documentation. This lets the chatbot answer using the company's own information instead of giving general responses.
Response quality depends on factors such as the AI model, the quality and freshness of information, system settings, and how data sources are connected.
3. Button-based chatbots
Button-based chatbots guide users through predefined buttons and options instead of letting them ask any question in natural language. Each selection takes the user to the next stage of the conversation and presents the corresponding information or answer.
For example, a store's chat window might offer these options:
- Track an order
- View products
- Shipping policy
- Contact support
Selecting “Track an order” may prompt the user to enter an order number before showing the next steps.
This type of chatbot helps guide users through defined processes, categorize requests, and provide quick access to information. Because the conversation path is designed in advance, users can see their available options and usually reach the relevant section faster.
However, button-based chatbots have limited flexibility for requests outside their predefined options. They may also provide an unsuitable conversation experience for users with complex or unusual questions.
Note: A button-based chatbot is not necessarily a separate technology from the previous two types. This interaction method can be used alongside rule-based or AI chatbots. The main difference is how requests are received and users are guided.
What is the difference between button-based and conversational chatbots?
Chatbots do not all interact with users in the same way. Some use predefined options. For example, a button-based bot may let users choose “Track an order,” “Product information,” or “Contact support” to reach an answer.
Conversational chatbots let users ask questions in natural language. Users do not have to choose from a fixed set of options and can express requests in different ways.
What are chatbots used for?
Chatbots are not limited to answering simple questions. Depending on their capabilities and implementation, they can help people and businesses in different situations.
Everyday uses
You have probably used a chatbot many times without realizing it. Common examples include:
- Answering frequently asked questions: Getting information about opening hours, addresses, services, or terms of use.
- Tracking orders: Checking purchase, shipping, and delivery status when the chatbot is connected to order information.
- Getting guidance: Finding a product, choosing a service, or learning the steps of a task.
- Online services: Receiving initial answers from banks, apps, and service websites.
Business uses
A chatbot can automate part of customer communication and help sales and support teams.
1. Answering customer questions
Questions about prices, shipping, placing orders, and returns often repeat. With access to business information, a chatbot can answer these questions and reduce part of the support team's workload.
2. Providing support outside working hours
A chatbot can be available around the clock and provide an initial response even when support agents are away. For complex requests, the ability to transfer the conversation to a human agent remains important.
3. Guiding customers through a purchase
Connected to product and service information, a chatbot can help customers compare options, review features, and find a suitable product. For example, it can compare two product models using their recorded specifications.
4. Collecting and categorizing requests
A chatbot can collect initial customer information, categorize requests by topic, and pass them to the appropriate agent when necessary. This helps support teams manage requests more systematically.
5. Reducing repetitive support work
Delegating some frequently repeated questions to a chatbot gives agents more time for specialized and complex issues. People can spend more time on requests requiring human judgment and investigation.
What are the benefits and limitations of chatbots?
Chatbots can offer several business benefits, but their limitations should also be considered during selection and implementation.
Benefits
- Fast responses: Users spend less time waiting for answers to common questions.
- Around-the-clock availability: A chatbot can provide initial responses outside working hours.
- Handling concurrent requests: It can respond to multiple users at the same time.
- Less repetitive work: Simple, recurring requests take up less of the support team's time, leaving agents more time for complex issues.
- Better customer experience: Users can find information faster without waiting for an agent to become available for an initial answer.
Limitations
- Incorrect answers: Especially with AI chatbots, generated responses may be inaccurate, incomplete, or irrelevant.
- Dependence on information quality: Incomplete, outdated, or incorrect connected information affects response quality.
- Difficulty with complex requests: Some issues require detailed investigation, specialist judgment, or an agent's involvement.
- Configuration and monitoring: Information, settings, and chatbot performance need periodic review to maintain response quality.
- Security and privacy considerations: When a chatbot accesses customer information or internal business data, permissions and information storage and processing must be managed properly.
Launching a chatbot alone will not solve every customer communication problem. Good results depend on choosing appropriate technology, providing quality information, addressing security considerations, and implementing it properly.
Can a chatbot replace people?
No. A chatbot can perform some repetitive and predictable tasks, but it cannot fully replace people.
For example, answering FAQs and providing initial product information can be delegated to a chatbot. Complex complaints, sensitive decisions, unusual requests, and issues requiring specialist investigation still need human involvement.
This matters even more in sensitive fields. A chatbot may provide general medical information, but it should not replace a physician's diagnosis or treatment decisions. Medical and psychiatric matters require professional assessment and supervision, and chatbot answers should not be treated as definitive or reliable without review.
For many businesses, the best approach is therefore to combine chatbots with people: the chatbot handles simple requests and transfers the conversation to an agent when needed.
What is the difference between a chatbot and an AI assistant?
Chatbots and AI assistants have similar functions, and the terms are sometimes used interchangeably, but their focus usually differs.
A chatbot is primarily designed for conversation and responding to user requests. An AI assistant may also help perform tasks, offer suggestions, and support decision-making.
For example, a chatbot may answer a question about opening hours, while an AI assistant may gather requested information, examine different options, and help the user complete a particular process.
This boundary is not absolute. Many modern intelligent chatbots have capabilities that bring them closer to AI assistants. The difference is therefore more about the scope of tasks and capabilities than the form of conversation alone.
When do you need a chatbot?
If your business receives many recurring questions, support requests, or customer messages, a chatbot can help manage those communications.
For accurate answers to business-specific customer questions, it is better for the chatbot to have access to real business information. It can then answer using the company's products, services, policies, and documentation instead of giving general responses.
Muchat lets businesses build AI chatbots and connect them to business information sources so customer communication and responses can use each company's own knowledge.
Frequently asked questions about chatbots
Do all chatbots use AI?
No. Chatbots can be rule-based or AI-powered. Rule-based chatbots use predefined responses and paths, while intelligent chatbots can analyze messages and generate more appropriate responses using technologies such as natural language processing.
Can a chatbot work without the internet?
It depends on the chatbot and its infrastructure. A chatbot running on a server or internal network may work without access to the public internet. However, many online chatbots need the internet to communicate with services and AI models.
Can a chatbot answer business-specific questions?
Yes. If connected to business information sources such as documents, a knowledge base, product information, or an API, a chatbot can use that information to answer specific questions. Accuracy depends on the quality and freshness of the information and the implementation.
Are chatbots free for customers to use?
This depends on the service and the business using the chatbot. End users may be able to chat without paying, while the business providing the service usually pays for the chatbot infrastructure.
