What is conversational AI? Use Cases, examples, and benefits

Diving into conversational AI use cases can seem complex, but a profound grasp is crucial for maximizing its benefits. Using various industry examples, we’ll uncover its capacities, from data collection to refining it through user feedback. It can guide the learner to improve their language skills and allow them to practice.

Forethought is a leading provider of the conversational AI chat bot designed to support your customers through the entire customer journey. Our conversational chat bot works in any industry to enable you to help more customers faster. If you’ve interacted with a chat bot before, you understand that they are limited in what they are programmed to do — mainly by the number of typed responses you give them to use.

Help your customers make purchasing decisions

Personalizing responses based on user preferences, previous interactions, and current situations is crucial for delivering a seamless and engaging user experience. Achieving a high level of contextual understanding and personalization requires robust AI models and well-curated data. Conversational AI systems offer a more natural and intuitive way for example of conversational ai customers to interact with businesses. By providing personalized, timely, and contextually relevant responses, conversational AI enhances the overall customer experience, leading to increased satisfaction and loyalty. Conversational AI revolutionizes customer support by providing instant assistance and resolving queries in a conversational manner.

You could even describe your symptoms so the AI can recommend a doctor whose specialization is right for your case. Watch our short video about how we’re wowing our customers with the power of AskAI. Woebot’s chatbot combines its intensive knowledge in psychology with advanced AI to assess symptoms of anxiety, depression, and other mental health needs and respond accordingly with empathy. Customers can also use the bot to book in-store services and even virtually try on various products just by uploading their selfies.

What Is Conversational AI & How It Works? [2024 Guide]

Artificial Intelligence, or AI, refers to the technology that can perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision making. AI systems are designed to mimic human cognitive processes and to adapt to new situations, enabling them to perform complex tasks with speed and accuracy. Speech recognition employs sophisticated algorithms that analyze audio signals, identify phonemes, and convert them into meaningful words and sentences.

• Using Yellow.ai’s Dynamic Automation Platform – the industry’s leading no-code development platform, you can effortlessly build intelligent AI chatbots and enhance customer engagement.
• Conversational AI systems can analyze user data and behavior to provide personalized recommendations and suggestions.
• HR has evolved from traditional personnel management to a more strategic and pivotal role in driving organisational success.
• Zobot is a part of Zoho SalesIQ’s chatbot platform and is a user-friendly, codeless, drag-and-drop chatbot builder.
• The platform gives managers and sales reps visibility into every call, via detailed Call Analytics including emotions, objections, intent etc.
• After each chat, the conversational AI integration can ask your website visitors for their feedback, collect their data, and save the chat transcript.

Voice assistants convert voice commands into machine-readable text in order to recognize a user’s intent and perform the programmed task. While metrics are useful, you should place equal emphasis on qualitative feedback from your team members and your own customers. Rethinking processes in order to incorporate a conversational AI chatbot is exciting, but it also presents a significant challenge. In addition, support teams can streamline their communication using generative AI, allowing for quick sentence rephrasing, expansion, and tone adjustment with a simple click.

Best Use Cases and Examples of Conversational AI in 2024

Button-based chatbots are trained to give specific outcomes for specific input. They are quite advanced compared to traditional chatbots, which work on pre-programmed commands and responses. Moreover, these AI-powered chatbots personalize interactions based on the user’s context and past activities on the web. When choosing an AI chatbot pricing model, prioritize one based on outcomes for better ROI. For example, with pricing models based on resolutions – which include Intercom’s – you pay only when customers receive satisfactory answers without needing human support.

In the realm of automated interactions, while chatbots and conversational AI may seem similar at first glance, there are distinct differences between the two. Understanding these differences is crucial in determining the right solution for your needs. An example of an AI that can hold a complex conversation in action is a voice-to-text dictation tool that allows users to dictate their messages instead of typing them out. This can be especially helpful for people who have difficulty typing or need to transcribe large amounts of text quickly. In this guide, you’ll also learn about its use cases, some real-world success stories, and most importantly, the immense business benefits conversational AI has to offer.

How Conversational AI Is Changing Customer Service

Conversational AI chatbots can ask follow-up questions, offer product guidance, and even route customers to the support team for more complex issues and questions. Additionally, dialogue management plays a crucial role in conversational AI by handling the flow and context of the conversation. It ensures that the system understands and maintains the context of the ongoing dialogue, remembers previous interactions, and responds coherently. By dynamically managing the conversation, the system can engage in meaningful back-and-forth exchanges, adapt to user preferences, and provide accurate and contextually appropriate responses. How your enterprise can harness its immense power to improve end-to-end customer experiences. Learn how conversational AI works, the benefits of implementation, and real-life use cases.

Chatbots providing a Conversational experience are more sophisticated and “lifelike” than standard chatbots, which can only provide the answers they’ve been programmed with. Leveraging Artificial Intelligence to streamline routine business processes and offer 24/7 customer service is quickly becoming the new normal. Overall, multiple components of a conversational AI system work together to enable natural and seamless interactions between users and the AI system, improving the user experience and driving business outcomes. Conversational technologies are trending with the launch of tools like OpenAI and ChatGPT.

With the help of AI-powered chatbots and virtual assistants, companies can communicate with customers in their preferred language, breaking down any language barriers. Furthermore, these intelligent assistants are versatile across various channels like websites, social media, and messaging platforms, making it convenient for customers to engage on their preferred platforms. This personalized and efficient support enhances customer satisfaction and strengthens relationships.

• Conversational AI combines natural language processing (NLP) with machine learning.
• To leverage the full potential of conversational AI, integrate the platform with your existing systems such as customer relationship management (CRM) tools, knowledge bases, and databases.
• Companies from fields as diverse as ecommerce and healthcare are using them to assist agents, boost customer satisfaction, and streamline their help desk.
• This platform also takes security and privacy matters seriously with measures, such as visual recognition security and a private cloud for your users’ data.
• Examples of popular conversational AI applications include Alexa, Google Assistant and Siri.

They can also multitask and go about their routine while they are conversing. Several companies, like Zapiet, a store pickup and local delivery plug-in for Shopify, are already leveraging these benefits. Conversational AI and generative AI have different goals, applications, use cases, training and outputs. Both technologies have unique capabilities and features and play a big role in the future of AI.

This means improved lead list penetration, more accurate lead scoring, increased revenue, personalized offers and marketing materials, and greater upselling and cross-selling. Conversational AI revolutionizes the sales process by automating outbound marketing, lead generation and lead qualification, drip marketing campaigns and follow-ups, and even customer opt-outs and DNC databases. 80% of consumers say their biggest customer service problem is not being able to get immediate assistance when needed. Once the user is finished speaking or typing, the input analysis phase of listening and understanding begins. Regardless of which way they ask the question, the AI app will provide the same answer–because NLP understands the intent behind the question, not just the words used.

KLM uses Conversational AI to deliver flight information, and CNN and TechCrunch use it to keep readers up to date with news and tech content, respectively. Fundamentally, a traditional chatbot is a computer program designed to interact with users through text or voice. Chatbots are generally rule-based and operate within a specific set of parameters. They are limited in understanding natural language and context and can only respond to specific commands or keywords. By automating repetitive tasks and reducing the need for human intervention, conversational AI can significantly reduce operational costs.