Conversational AI: Examples and Use cases

Conversational based artificial intelligence uses machine learning and NLP to communicate with users in a natural way.

An increasing amount of new technologies and apps are implementing it to improve user experience and automate some tasks. 

Let's review some key concepts.

What is Conversational AI

Specifically, Conversational AI is responsible for the logic behind the chatbots and conversational agents you build. It is the mind and soul of a chatbot. It is what helps the bot lead your users towards a specific goal. Without conversational AI, a chatbot is just a basic reply.

Conversational AI is powered by Natural Language Processing (NLP). NLP focuses on the interpretation of human language, while conversation design presents the basic framework of how a conversation can unfold.

Simply put, conversational AI and chatbot designers work together to create the conversational experience.

Why is conversational AI important

Conversational AI is seeing a surge because of the rise of messaging apps and voice assistance platforms, which are increasingly being powered by artificial intelligence.

And while they have traditionally been viewed as disconnected technologies, they have been converging in recent years.

These converging technologies are:

Messaging applications

More than 2.5 billion people are using messaging services, with roughly a dozen major platforms covering various geographic and demographic areas.

Five of the top 10 most used apps of all time are messaging apps, and 75 percent of smartphone users use at least one chat app.

Voice assistant platforms

Unlike the rapid adoption of messaging applications, the market for voice assistants is growing more slowly.

Still, there is a huge expectation of growth for the most popular platforms (Siri, Alexa, and Google Assistant).

Artificial intelligence

The sophistication of bots, and therefore their conversational artificial intelligence capabilities, are largely determined by the sophistication of the artificial intelligence employed.

Big tech companies like Microsoft, Google, Amazon and Apple are working hard to democratize advanced artificial intelligence so that companies can take advantage of its capabilities to introduce increasingly complex experiences.

To get started with conversational AI, you can try our platform 15 days for free.

Examples and Use cases

Use Cases for sales

Chatbots to generate leads

Some companies continue to use the sales department as a way to contact customers who do not know about your company, either by phone or by visiting them in person.

Another approach to attract potential customers is to focus on customers who already know your business after entering your website. Traffic from these anonymous visitors to your website can turn into leads.

Interacting with a chatbot when this person is viewing your products and services on your website is an exceptional time to grab their attention.

Promote products

Promoting products at certain times is an easy task for a chatbot to do.

The software will be able to interact with your potential customers and present the offer, answer frequently asked questions and even close the sale. All this in an automated way and simultaneously to as many clients as your website has at that time.

Present new products

As with promotions, introducing new products to your customers can be done with the help of a chatbot.

The chatbot will be ready at all times to greet the potential buyer and promote your new product / service.

In this way, all your customers, no matter what time of day or night it is, they will know more about your new products, and will receive detailed and standardized information.

Purchase assistants

If what your company needs is to solve doubts and suggest products or services to all its customers, chatbots are the fundamental element to improve those processes.

Chatbot as a sales representative

Make your customers feel accompanied, show photos, videos from your catalog and finalize the purchase process with a sales chatbot.

Lead nurturing

Communicate with your customers at all stages of the sales funnel and help them become more informed about your products and services.

The chatbot will be able to provide each customer with the information they need in a timely manner.

Use cases for customer service

Answers to questions

Solve your customers' doubts to the most common questions 24/7 and at any time of the day.

Chatbots will free up customer service agents to focus their efforts on claims that require human-human interaction.

Reservation of appointments

If your business needs to book appointments or make reservations, chatbots are very effective in fulfilling those functions.

Automating the tasks of booking appointments with a chatbot will streamline critical processes in your company.

Find merchandise and recommend products

One of the most important capabilities of a chatbot is its ability to extract information from databases.

Thanks to the adoption of a chatbot in its customer service, the user will be able to find products faster and more efficiently.

In addition, a chatbot will be able to recommend other similar products to improve the experience.

Order confirmation and follow-up

Automate the purchase confirmation process and keep the customer informed of where their order is with the chatbot. Your client will prefer to know this information by writing to the chatbot rather than by talking to one of their agents.

Conduct surveys to evaluate customer satisfaction

Another moment where your customers will prefer to interact with a chatbot rather than with a human agent, is to provide their degree of satisfaction.

You can get more accurate answers thanks to a chatbot.

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