In simple words, NLP is a field of AI that helps a chatbot understand human language (text or voice data) and then respond just like humans do. Natural language processing chatbots (NLP) In this case, the client receives a set of fixed options that direct to the desired answers. It can sense click activities and simple event triggers like a “Yes” or a “No” input and respond the same. Rule-based chatbots hold conversations through a predefined set of questions. These chatbots are known as decision tree bots. While some follow a linear workflow, others are more conversational. FAQ chatbot examples: Different types of FAQ chatbotsĭifferent FAQ chatbots have different functionalities and benefits. Whereas, an FAQ chatbot would give a precise yes or no when asked “Do you ship to ?”. An FAQ page would probably display a list of ALL the regions the business ships to internationally. Different queries can have a different context for the same website.įor example, there is a user who wants to know if a business ships to their country or not. Chatbots are used to answer questions while conversing with customers while FAQ pages help them find solutions in a question-answer form.įAQ vs chatbot is more about the game of context rather than content. Now, you may think: FAQ pages vs chatbots, which one is best for your business? FAQ pages vs chatbots: Know the difference Today, customers want an effortless and conversational approach to resolving their queries. However, they were difficult to search and read. You can check out the full-length podcast here, as we explore more on how AI in customer support drives digital transformation.Įarlier people used to read FAQ pages on websites to know more about the product. And if a conversational AI is trained well, it can support people autonomously”, says industry expert Vittorio Barraja from PHD Media.
The vast majority of queries coming from users can be grouped into common topics. They can analyse the collected data and understand customer issues (the problems they face, the questions they ask) better and improve customer service in the future. Information collected over time through these chatbots can be invaluable for a business. In fact, research shows that FAQ chatbots can recognise 86.36% of the questions and answer with 93.2% accuracy. It is trained to address all common queries users ask related to your products/services and offer solutions in lesser time.įAQ chatbots empower your customers to solve problems on their own – all the while saving your team’s time and effort.
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What are the benefits of using FAQ chatbots?įAQ chatbot is AI-based computer software that is trained to answer frequently asked questions by customers.FAQ chatbot examples: 3 types of FAQ chatbots.FAQ pages vs chatbots: What’s the difference?.
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Read on to explore FAQ chatbots, their uses, and their benefits in detail. If these facts sound relatable and these numbers seem tempting to you, then maybe your business needs an FAQ chatbot. In such situations, an FAQ chatbot can save your day!ĭid you know that more than 80% of common customer questions are managed by chatbots? And over 90% of customers chat with a business before making any purchase? Or maybe you are tired of managing bulk customer data?Įven the best companies have unexpected customer crises. Know how the build an FAQ chatbot, types, and use cases.Īre you dealing with repetitive customer queries? An FAQ chatbot helps you answer all common and repetitive support queries in time.
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