Conversational AI is a major part of the future of website design and development because chatbots have begun being implemented into websites which allow direct communication with customers.

In order to use Conversational AI, businesses must have an understanding of Machine Learning as conversational AI and chatbots are trained by algorithms which enable the bot to learn from previous interactions. This allows businesses to keep their sites up-to-date and efficient without having large teams of people updating it constantly.

Conversations with these bots are designed to speed up the customer service process making it more efficient, also giving customers control over what they want from their interactions instead of forcing them into a standard set of responses that may or may not be helpful.

Many companies are implementing Conversational AI into their website design which they hope will increase the number of customers. It also keeps old customers better informed about the products, and helps attract new customers.

What is Conversational AI?

The ‘Conversational AI’ is a type of artificial intelligence that enables conversation between humans and computers in real-time. The speech enabled applications and automated messaging makes it a human-like interaction.

It is not one thing, but conversation artificial intelligence is a combination of many different technologies working together, such as; machine learning, natural language processing (NLP), and context awareness. The technology recognizes speech, text, detect different languages, understands intent and responds in a human-like manner.

Conversational AI includes the use of machine learning to create chatbots and other conversational interfaces. Conversational AI can involve natural language processing, machine learning, deep learning algorithms and even video games in order to provide an engaging user experience.

Conversations with compatible applications are becoming more common in customer service industries where customers can work seamlessly with their digital counterparts; this is known as conversational commerce.

What does Conversational AI do?

what does conversational AI do

Conversational AI can be helpful in website development for example when creating chat bots which assist customers on websites. The best examples of Conversational AI in action are Google’s Allo or Amazon’s Alexa; these types of AI chatbots are designed to provide instant, natural responses to queries.

Conversational AI has many uses outside of it’s traditional scope; for example conversational AI can be used in video games (such as Halo) to help create a more immersive gaming environment.

Conversational AI is a major part of the future of website design and development because Chatbots have begun being implemented into websites which allow direct communication with customers. Websites need this interaction with customers because many use different devices now such as smart TVs or mobile phones, conversational functionality allows these users to communicate with websites from anywhere on any device.

How does Conversational AI work?

In order for Conversational AI to work properly it needs a way for users to interact with the website, it can accomplish this using a chatbot. The chatbots on websites today are designed to answer user’s questions about the site and often more; they usually have a personality which can be customized by the end user.

Conversational AI is quickly becoming more popular because of online shopping platforms such as Amazon which use conversational artificial intelligence in their systems allowing people to shop from home on any device at any time.

Conversations with these bots are designed to speed up the customer service process making it more efficient, also giving customers control over what they want from their interactions instead of forcing them into a standard set of responses that may or may not be helpful.

Many companies are implementing Conversational AI with text to speech features into their website design which they hope will increase the number of customers they have, keep old customers better informed about their products and help bring in new ones.

Conversational AI is becoming ever more common in customer service industries where it can be implemented to make life easier for both the customer and the company, with many people using devices such as tablets or smartphones.

Conversational AI makes this process much simpler allowing users to communicate effectively instead of punching information in online forms on a device that isn’t optimal for typing out long messages. Connecting with site visitors through artificial intelligence chatbots makes them feel more appreciated by the business because not only do they care about that person but they also give them a voice to express their needs and wants, creating a better overall experience for the users.

The conversational AI is on the rise due to the increasing popularity of devices such as tablets and smartphones. People use these devices on-the-go more than computers so it’s easier for businesses to connect with customers through conversational AI chatbots on mobile platforms. Conversations can be designed to go both ways between a customer and a website which can lead to a better outcome in most cases because sometimes people using websites need tailored information instead of the same set of answers or FAQs.

Technology Components Used in Conversational AI

The conversational AI (artificial intelligence) uses several technologies to make it work. These include:

1. Natural Language Processing (NLP)

The Natural Language Processing (NLP) is the method of language analyzing that is used in conversational AI. Prior to this the languages were processed from linguistics to computational to statistical NLP. Deep learning is also advancing NLP processing and improving the capabilities of conversational AI.

2. Advanced Dialog Management (ADM)

The ADM helps formulate responses using natural language processing. The responses are based on dialog management’s text intent. Those responses are then converted into human understandable format with the help of NLP.

3. Machine Learning (ML)

The Machine Learning (ML) is made up of features, algorithms, data sets, and formats that improves experience themself continuously. It is a subpart of artificial intelligence. The AI powered machine gets better at pattern recognition as input grows.

4. Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) is also called voice recognition. It is the technology that decipher the spoken words and translate them in readable text format that is easy for machines and humans to understand.
The above technology components are used to detect, understand, react and learn from the interaction of the users.

Benefits of Conversational AI

There are several benefits of Conversational AI that can offer cost effective solutions for businesses, and it is easy to adopt. Some of its benefits are listed below.

1. Improved Scalability

The conversational AI is easily scalable, and even economical for businesses to adapt it. The infrastructure is constantly improving, as more and more businesses are working in this field. It has opened new markets and also reduced the costs of operating businesses in different geographical markets.

2. Cost Efficient Technology

If you staff a customer service department then it will be costly, and offering a 24/7 service is hard to manage. So, if you provide assistance to your customers via conversational AI it will be economical for your business. Training chatbots and offering a round the clock service is made easier with conversational AI.

The artificial intelligence powered conversation can help automate the repetitive tasks of your support team, and answer the information seeking queries from the users.

3. Improved User Engagement

The businesses are needed to prepare real-time information that is available to be shared with the end users. Website visitors or application users can ask any question about the product/service you are offering. So, the AI enabled conversation or even chatbot can help engage the users in an efficient manner.

The conversational AI tool is more easily accessed than actual workforce, the customers and users can engage more effectively with the business to get answers to their questions in a timely manner.

In fact, the improved user engagement reduces the churn rates, and helps grow your business revenue. Users can avoid the wait times that lead to improved customer experience. A satisfied user can be turned into a brand ambassador and improve loyalty towards your business.

4. Better Accessibility

Another benefit of conversational AI is that it makes your business products more accessible. You can not only interact with your users in text form, but also using the voice technology. The information the customers are looking for is easily available if you can create a personalized experience using conversational AI. You can more actively provide recommendations to the end users, and allow businesses to cross sell the products/services to the users.

How to Create Conversational AI?

how to create conversational AI

Let’s now look at how to create and develop conversational AI for your business. You have gone over the benefits of this incredible phenomenon that makes use of advanced technologies that can help keep the conversation going with your users and valuable customers.

There are several companies that create conversational AI and custom chatbots for the business. Some go for an in-house platform development, but that is a costly option, and requires much technical knowledge as well.
If you want to keep things simple, and achieve the benefits of user engagement, improved accessibility, cost efficient platform, and better scalability, then you can opt for WebsiteVoice. This platform can be seamlessly integrated to your website, and convert your website’s text content into highly engaging voice.

Moreover, you can follow these steps to develop your conversational AI:

  1. Goal setting: You should define your goals in the initial phase so that it will help you track your performance, and help you grow. Is your goal to improve website engagement, make loyal customers? Or do you want to reduce your customer service cost?
  2. Design workflows: You need to create workflows on what needs to be done, and draw a complete picture of the journey the users will be going to take while interacting with your business online.
  3. Train the bot or AI: You will need to input data and queries so that your tool will be trained to work on its own.
  4. Tools integration: You should integrate all the necessary tools, like CRM, Leads generation tool, email automation platform etc.
  5. Measure and optimize: Now that all things are set, now you should define your KPIs and measure the performance to help improve your business growth.

Conclusion

Conversational AI is becoming ever more common in customer service industries where it can be implemented to make life easier for both the customer and the company, with many people using devices such as tablets or smartphones.

Conversational AI makes this process much simpler allowing users to communicate effectively instead of punching information in online forms on a device that isn’t optimal for typing out long messages.

Connecting with site visitors through artificial intelligence makes them feel more appreciated by the business because not only do they care about that person but they also give them a voice to express their needs and wants creating a better overall experience for the user.