How can you get started with your conversational AI chatbot?

Let’s Dive into What a Conversational AI Chatbot Is

AI conversational robots can help clients to solve problems and make decisions. With different functions, these tools are the perfect option for customer service. Here’s what a conversational AI chatbot is.

Artificial intelligence (AI) plays an important role in customer service today. As a result, new technologies such as chatbots and conversational AI or machine learning are constantly entering the market, but very few people know what they actually do. That’s why, in this article, we’ll make sure you understand what they’re all about.

What is a conversational AI chatbot?

A conversational AI chatbot is particularly interesting as it can become smarter over time due to artificial intelligence and machine learning. Most chatbot software today has some form of artificial intelligence built into the platform.
Basically a chatbot is a piece of software that simulates a human conversation through voice commands, text chats or both. The beauty of AI chatbots is that they can understand language outside of a pre-programmed set of commands and continue to learn based on the input they receive.

Reasons to use a conversational AI chatbot

Although many companies view conversational AI as just another type of chatbot, this software goes far beyond a conventional chatbot and sets the new standard for customer experience. Take a look at the following reasons to use a conversational AI chatbot:

The AI chatbot is constantly improving

AI chatbots come with an analytics dashboard for more detailed information and valuable insights. Businesses can leverage this information to improve their customer experience with artificial intelligence.

Understanding the gap between a good and great customer experience is essential. With simple analytics and a data-driven approach, AI chatbots can improve to deliver better results.

The AI chatbot understands natural language

An AI chatbot is trained to operate almost autonomously using a process known as Natural Language Processing (NLP), combined with artificial intelligence and the data it gathers through human interaction.

By integrating artificial intelligence, chatbots can now learn and improve based on their conversations. This makes AI chatbots a prominent part of the customer service team. From sentiment analysis, to shopper prediction, AI chatbots can be employed for a variety of functions in the customer experience.

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The AI chatbot is multilingual

In addition to answering questions and providing customer service, AI-powered chatbots can deliver personalized, contextual, value-driven care that will be appreciated by your customers. They can be programmed to understand and respond in any language, taking customer support operations to new markets and delivering personalized experiences to target audiences.

So, are you ready to know some examples of chatbots? Let’s get to it!

5 examples of conversational AI chatbots

The chatbot ecosystem has changed for many companies doing marketing through chatbots, but the goal remains the same: fast, creative and convenient customer service.

In a competitive space, the best types of enterprise chatbots are novel and act on customer problems and solutions. Here, we’ll share some examples of conversational AI chatbots that help initiate meaningful conversations and generate value.

Kuki 👱‍♀️

A chatbot like Kuki will be your 24/7 friend to chat with even when your customers are offline.

Unlike task-oriented chatbots used for business automation, Kuki is designed to converse with humans, which is why they exchange an average of 64 messages per session.

Eviebot 👩‍🦰

Eviebot is an emotional and interactive artificial intelligence female avatar that uses voice responses based on user input via keyboard or microphone.

This chatbot reacts to questions by changing her facial expression, speaks multiple languages and can be used for communication, customer service, gaming, bots and more.

Replika 🧝

Replika is a companion powered by artificial intelligence. With this chatbot you can form a real emotional connection and decide what kind of relationship you want.

This chatbot uses a neural network through which it is able to communicate with humans. It learns all this information from users, stores it in the cloud and the use of this data network is constantly growing and improving.

Mya: HR Recruitment 🧔

Mya is a leading conversational artificial intelligence platform for recruiting. It automates candidate engagement and communication by helping recruiting teams scale their sourcing efforts, screen large candidate pools, automate the scheduling process, among other services.

Mya applies proprietary natural language processing and machine learning to have open, natural and dynamic conversations to build trust with users. It is ideal for companies looking to integrate an AI-powered solution into their hiring process to increase their talent pipeline, candidate quality and improve the candidate experience.

Chatbot visual

A visual chatbot is an artificial intelligence computer program that can interpret images or videos provided by users in real time and elicit questions about the visual content.

With enough time and investment, the possibilities for visual bots are endless. These systems could replace thousands of customer service workers and increase customer satisfaction, saving companies time and money.

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How can you get started with your conversational AI chatbot?

While talking about machine learning and artificial intelligence can make the idea of building your own conversational AI chatbot sound daunting, there is help available.
First, start thinking about what you want to achieve with your chatbot, come up with a strategy and then start configuring your chatbot with the data you need. Although it may seem challenging at first, creating a chatbot is easy, find out why:

– No coding: many chatbot creation services offer low-code or no-code options so that companies with no coding experience can create their own chatbot.

– Easy to integrate: chatbots can be integrated into a variety of customer communication channels, including WhatsApp, Facebook Messenger and other web chat applications.

– It can be tested and refined: you can test it on a local server with friends to identify any potential problems. These can be resolved before a wider implementation.

Whether you prefer a scripted chatbot or a conversational artificial intelligence chatbot, you can create one by logging into the website of your preferred service.

To sum up

Investing in a customer service team will definitely help companies improve customer satisfaction, reduce churn and, in turn, improve revenue. Artificial intelligence in the customer experience industry is a necessary change and has proven to be an excellent addition.

In this order of ideas, AI chatbots are at the forefront when it comes to artificial intelligence for customer experience. They can help customers at any stage of their buying process instantly. This makes customers very happy and satisfied with the business and ultimately builds loyalty to the company.

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