Conversational AI Examples: Top 9 Tools & Use Cases 2024

For example Lyro—our conversational chatbot is able to solve up to 70% of customer problems automatically with human-like AI conversations supported by NLP and machine learning. Overall, conversational AI apps have been able to replicate human conversational experiences well, leading to higher rates of customer satisfaction. Some examples you’ve probably heard of and even used are generative AI agents, chatbots, virtual assistants, voice assistants, text-to-speech software, and speech recognition software.

NLP, or Natural Language Processing, is like the language skills of conversational AI. Just as we humans understand and respond to language, NLP helps AI systems understand example of conversational ai and interact with human language. It’s all about teaching computers to understand what we’re saying, interpret the meaning, and generate relevant responses.

Five major conversational AI use cases

But if no good times are available at that location, you have to go back and start the whole process again. Have you ever tried to book an appointment online, only to find that the process has too many steps, and you can’t go back without undoing everything? There are a lot of examples of conversational AI and what it can do to support organizations to do more with less and stretch their budgets.

At the end of each conversation, the bot guides customers through feedback survey forms and gathers valuable insights. Expand your customer reach to a global audience with AI-powered multilingual support. It lets customers interact in their preferred languages, breaks language barriers, and ensures a more accessible experience. Red handles over 38,000 conversations monthly and adeptly resolves over 1,000 frequently asked questions, making CX easier and guest experiences smoother. From onboarding clients to customer service, technical support, and even sending reminders, arm your hard-working service reps with AI to offer unparalleled customer service and meet all customer expectations.

Conversational AI applications and examples in business

Every time a new customer visits Sephora, the chatbot prompts a quiz developed to understand the customer and their choices deeply to recommend products that they might like and provide brilliant customer service. In this blog post, we cover what conversational AI is, how it works, how it’s different from traditional chatbots, the benefits of conversational AI and some examples. Zowie is the most powerful customer service conversational AI solution available. Built for brands who want to maximize efficiency and generate revenue growth, Zowie harnesses the power of conversational AI to instantly cut a company’s support tickets by 50%. It’s important to know that the conversational AI that it’s built on is what enables those human-like user interactions we’re all familiar with.

This can assist companies in giving customers service around the clock and enhance the general customer experience. Conversational AI harnesses the power of Automatic Speech Recognition (ASR) and dialogue management to further enhance its capabilities. ASR technology enables the system to convert spoken language into written text, enabling seamless voice interactions with users. This allows for hands-free and natural conversations, providing convenience and accessibility. In the present highly-competitive market, delivering exceptional customer experiences is no longer just good to have if businesses want to thrive and scale. Today’s customers are technically-savvy and demand instant access to support and service across physical and digital channels.

This is a technology that can be tailored to a diverse array of contexts and requirements. One of the best things about conversational AI solutions is that it transcends industry boundaries. Explore these case studies to see how it is empowering leading brands worldwide to transform the way they operate and scale.

• This will give you a better grasp of how to find the right conversational AI platform for your specific support needs.
• While a human agent may struggle with handling a frustrated or worried customer, your chatbot will adopt an empathetic tone toward them and stay patient every step of the way.
• Staffing a customer service department can be quite costly, especially as you seek to answer questions outside regular office hours.
• AI-powered chatbots can provide instant access to information and guidance, enabling employees to quickly acquire knowledge and bridge gaps in their skill sets.
• If you’re considering a platform switch for advanced AI capabilities, the chatbot should be compatible with various support platforms.

As customer satisfaction grows, companies will see its impact reflected in increased customer loyalty and additional revenue from referrals. Staffing a customer service department can be quite costly, especially as you seek to answer questions outside regular office hours. Providing customer assistance via conversational interfaces can reduce business costs around salaries and training, especially for small- or medium-sized companies. Chatbots and virtual assistants can respond instantly, providing 24-hour availability to potential customers.

Conversational AI platforms can be used to conduct market research and gather valuable insights from customers. By engaging users in interactive conversations, businesses can collect feedback, opinions, and preferences, helping them make data-driven decisions and improve their products or services. Generative AI generates new content based on patterns, while conversational AI focuses on creating AI systems for interactive conversations with humans.

The bot also offers psychoeducation and helps users address their mental health issues. On the other hand, traditional chatbots aren’t fully equipped with the technology to provide the same information and therefore, do little to improve customer satisfaction. Chatbots that leverage conversational AI are effective tools for solving a number of the biggest problems in customer service. Companies from fields as diverse as ecommerce and healthcare are using them to assist agents, boost customer satisfaction, and streamline their help desk.

Kindly offers conversation optimization and customization, redefining how brands connect with their audience. To support visually impaired users, Erica includes Americans with Disabilities Act (ADA) tags, helping them navigate different app sections. Gartner, Juniper Research, and Insider have all reported increased use of smart AI for customer service in several industries, ranging from banking to telecom, and anticipate further use down the line. The dreaded “I don’t know that” response can be caused by unfamiliar accents and dialects, new words, or even by other users that intentionally mislead AI by providing and validating false or useless information. The more customers interact with your business AI applications, the more data you’ll collect on your customer base.

So, there will come a time when the website visitor will need to be redirected from the chatbot to live chat. It’s essential for your business to answer customers quickly and efficiently. Especially since more than 55% of retail customers aren’t willing to wait more than 10 minutes for the customer service agent’s answer. Instead of taking orders on the phone, you can add a chatbot to your website and social media that will do it automatically. It can show your menu to the client, take their order, ask for the address, and even give them an estimated time of delivery.

Conversational AI can analyse the user’s intention, prior interactions, and other relevant information to provide a customised response that satisfies their requirements. This degree of personalisation makes conversational AI more engaging and effective in providing a positive user experience. DL is a subset of ML that involves training neural networks to process vast amounts of data.

While conversational AI is a specific application of generative AI, generative AI encompasses a broader set of tasks beyond conversations such as writing code, drafting articles or creating images. You can easily integrate our smart chatbots with messaging channels like WhatsApp, Facebook Messenger, Apple Business Chat, and other tools for a unified support experience. Clocks and Colours’ bot is integrated with the brand’s traditional customer service channels. When a user indicates they want to chat with an agent, the AI will alert a customer service representative.

Once you have determined the purpose of your chatbot, it is important to assess the financial resources and allocation capabilities of your business. If your business has a small development team, opting for a no-code solution would be ideal as it is ready to use without extensive coding requirements. However, for more advanced and intricate use cases, it may be necessary to allocate additional budget and resources to ensure successful implementation. Defining your long-term goals guarantees that your conversational AI initiatives align with your business strategy. Make sure you ask the right questions and ascertain your strategic objectives before starting.

In 2022, Gartner predicted that by 2026, conversational AI will have reduced contact center agent labor costs by $80 billion. When this happens, users can rephrase their question, look for help elsewhere, or just keep repeating themselves until they’ve had enough. People fear AI apps will misinterpret and misrepresent them, take actions without consent, record and share private conversations, take their jobs, or one day become sentient and take over the world.

Conversational AI is like having a smart computer that can talk to you and understand what you’re saying, just like a real person. Similarly, conversational AI can help resolve customer issues without them needing to speak to an agent. ‍Book a demo with our sales expert to explore the capabilities of conversational AI to watch the magic unfold. Their applications are vast and leveraged across a multitude of sectors like banking, retail, e-commerce, real estate, and more. Users can leverage the capabilities of Woebot at any given time, convenient to them, and can receive meaningful insights to help them work through their issues.

Natural language processing strives to build machines that understand text or voice data, and respond with text or speech of their own, in much the same way humans do. Frequently asked questions are the foundation of the conversational AI development process. They help you define the main needs and concerns of your end users, which will, in turn, alleviate some of the call volume for your support team.