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Chatbot examples: A beginner’s guide 

January 17, 2024
in Blockchain
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A chatbot is a program or script that interacts with and responds to humans in real-time conversations. They are used by different organizations and individuals for various purposes. Chatbots provide pre-written responses and information to handle basic requests or gather enough information to connect customers with a live agent for better service. Advanced chatbots utilize machine learning, artificial intelligence (AI), and generative AI technology to generate real-time responses based on user input. They have become a versatile tool for many organizations, fulfilling multiple business needs.

The first chatbot, called Eliza, was created in 1966 by Joseph Weizenbaum. Since then, chatbots have evolved significantly, with Rollo Carpenter creating the first “chatterbot” named Jabberwocky in 1988. Nowadays, chatbots are better than ever at holding conversations. The primary use case for chatbots in most businesses is to improve communication between the organization and customers. However, even the best chatbot cannot perfectly imitate a human indefinitely. Customers now expect organizations to have a customer support messenger chatbot to assist them before escalating to a live agent.

There are two types of chatbots: rule-based and AI-powered. Rule-based chatbots use pre-defined rules and scripts to respond to specific keywords or phrases. They are quick and efficient for simple tasks but offer limited flexibility. AI-powered chatbots leverage machine learning and natural language processing (NLP) to understand prompts and context. They can learn from past interactions and improve over time.

Most chatbots rely on critical elements such as user input, NLP techniques, intent recognition, and internal logic to provide appropriate responses. User input can be in the form of questions or prompts through SMS, voice, or other interfaces. The chatbot analyzes the request using NLP techniques to understand its meaning. Based on the analysis, the chatbot identifies the goal or purpose of the query and determines the appropriate response using intent recognition and internal logic.

Chatbots have become essential for organizations to provide 24/7 customer service and rapid issue resolution. They qualify leads in real-time and guide prospects to the products or information they need. Chatbots also improve user retention by providing immediate responses and personalized experiences. However, there are a few drawbacks, such as the need for valuable and customized chatbot experiences to avoid driving customers away. Organizations that solely rely on conversational chatbot technology may face adversity if customers become frustrated with the lack of human interaction.

The market offers a wide array of chatbots with various capabilities. Lyro, Kuki, Google’s Meena, and Ada are examples of chatbots revolutionizing customer service and daily interactions. They showcase the versatility and efficiency of chatbots across different industries, from simplifying food orders to offering mental health support and medical triage.

Chatbots bring benefits beyond automation. They act as co-workers for human agents, pre-populating information and highlighting urgent issues. Chatbots break down language barriers, provide instant support, and help companies understand the customer journey, improve offerings, and predict needs.

In enterprise businesses, chatbots are crucial for enhancing customer service, gathering feedback, tracking orders, and streamlining refund and exchange processes. They reduce the need for face-to-face interactions, solve problems on demand, and expand customer support team bandwidth. Chatbots also assist with employee support, answer queries, and provide timely information. In sales and marketing, chatbots automate lead generation, nurture leads, simplify booking and scheduling, offer personalized recommendations, and enhance customer engagement.

Overall, chatbots have become indispensable tools for improving user experience, streamlining operations, and providing support across various sectors. They offer efficiency, cost-effectiveness, and enhanced customer satisfaction.



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