Rule-Based Vs AI-Based Chatbots: Key Differences

1. Rule-Based Vs AI-Based Chatbots: Key Differences

2. The use of bots in digital marketing is an exciting new opportunity that is growing rapidly. In the old era, customer has to follow multiple steps to connect to the assistant to solve queries, and sometimes they just leave it in half out of frustration but now the wheel of time covers those essential deals in a creative yet authentic way. Chatbots have been around since the 1960s. However, more people are just finding out about them in recent years. But what are they? First, they’re bots — computer programs designed to simulate human conversations. This post will clarify everything you need to know about chatbots and the existing types of chatbots and let you know the differences between them. The majorly used chatbots are rule-based and AI-based. We cover what each does, which one is the best for your business, and provide some examples for you to consider. AI-Powered Chatbots Versus Rule-Based — The Difference Rule-based chatbots are limited to prewritten responses, which may appear robotic. On the other hand, AI-powered chatbots apply machine learning and natural language processing to provide a more personable and conversational experience. Plus, the chatbot will continue to learn with each conversation it has. AI-powered chatbots can deliver a customer experience that mimics the experiential level of service you would receive from a human agent. Unlike rule-based chatbots, which rely on predefined answers.

3. Let’s take a deep insight into the difference between both types of chatbots. What is a rule-based chatbot? A rule-based chatbot is much like an AutoMap. It guides the guest with follow-up questions to get to the correct resolution without artificial intelligence. If you want to be in control of the conversation, then a rule-based chatbot is right for you. Unlike an AI-driven chatbot that learns and grows with your users, a rule-based chatbot has pre-defined structures and questions to help guide the user to the right answer, exactly as you’ve planned it. Therefore, it is a good solution if you know what question or topic your customers are asking and where you want the dialogue to end up. Rule-based chatbot good for? If you’re tired of dealing with endless support tickets, a rule-based chatbot can help to reduce the workload on your team and valuable hours throughout the day. Chatbots are a great way to improve your customer service and engagement. Why you should choose a Rule-based chatbot? You should choose a rule-based chatbot for a number of reasons. First, it means you don’t have to train the chatbot so you can get up and running more quickly. Second, it usually means the implementation costs are lower.

4. And finally, if there are certain structures or behaviors you need to make sure the bot has, rule- based bots allow for better control in that area. Rule-based chatbot limitation A rule-based chatbot will require much more manual maintenance than one that uses machine learning, such as an AI chatbot. The more rules you add to a rule-based chatbot, the more maintenance it will need as new possible questions emerge. For example, if you add the rule “I am interested in a different type of room”, you need to make sure that the bot is able to communicate those different types of rooms back to the user. If not, your bot will have trouble understanding what the customer is typing due to his use of vocabulary and potential typos. This can result in difficult conversations or even customer dissatisfaction if they are unable to reach a human directly from your chatbot. What is an AI chatbot? Chatbots built with Natural Language Processing (NLP) are known as AI chatbots. This means that instead of answering questions based on certain keywords, the bot uses machine learning to understand the intent behind the user’s question and provides an accurate response every single time.

5. Unlike a rule-based chatbot, AI chatbots understand the intent of guests. They understand what it is that your guest wants and focus on answering their requests. AI-based chatbot good for? The complexity of the queries and types can vary. AI-based chatbot may be good for you if you are looking to have a bot that can handle a high volume of queries and responses where more human-like answers and conversational flow are required, AI chatbots are a better fit. Why you should choose an AI-based chatbot? A chatbot developed with AI responds almost like a human. This is because of its machine learning capability, which gives it the ability to understand typos and understood grammatical mistakes — which makes conversations more natural, easier, and gratifying. AI chatbot is ready to go at all times, being very reliable and providing instant answers 24/7. With AI chatbots you will never have to worry about answering the same question more than once again. And the best part is it continuously improve without further assistance. AI-based bot limitation There is no denying that artificial intelligence is an extraordinary technological advancement, but it also has its limitations. For example, a chatbot might use a large amount of data to learn what the customer needs and

6. could take months to train and develop further. As AI chatbots are more advanced, they undergo a longer and more complicated implementation process. Moreover, there is no structure defined to the conversations led by an AI chatbot, therefore they are less predictable. If a chatbot taught the wrong thing. It might take a while to unlearn it and learn the right thing.