Illustration of 2 men climbing stairs.
Conversational AI is usually activated through the intervention of the user, who asks a question or request.
The conversational AI agent identifies the user's input and the intent behind it (using natural language understanding), including key details such as dates or names.
Once it understands the request, the AI generates natural sweden phone numbers language that appears conversational and relevant.
Through continuous interactions, the AI refines its responses, learning from previous exchanges to improve accuracy and adapt to the user's needs over time.
Common use cases for conversational AI
illustration of business woman on a ladder with telescope.
Conversational AI is undoubtedly a transformative technology, but what exactly is it transforming?
Here are 5 examples of conversational AI:
1) customer support
80% of consumers want the same 5 things from a customer service interaction, and conversational AI improves all five.
Conversational AI is commonly used to improve the digital customer experience (CX). Not only can it help scale operations, but it can also help sales teams and customer service representatives do their jobs even better.
AI agents can deliver personal, friendly and efficient experiences – exactly what customers want. In fact, 62% of consumers would rather use a chatbot than wait for a customer service representative.
2) sales and lead generation
Another common use of conversational AI is AI sales agents and AI lead generation.
You can think of AI lead generation tools, such as chatbots and AI agents, as an employee who works 24 hours a day. They can interact with website visitors, answering their questions, collecting their information and directing them to relevant products or pages.
Conversational AI is used in all phases of an AI sales funnel, from advertising awareness to customer follow-up after purchase.
3) e-commerce
Conversational AI in eCommerce is popular for a reason. Improve the customer experience with 24/7 access and personalized recommendations, and can streamline order processing for employees.
E-commerce AI agents often:
provide personalized product suggestions
order tracking and updating (71% of consumers prefer to chat with a chatbot to check the status of an order).
Send follow-ups on cart abandonment
send behavior-based promotions
4) human resources and IT
AI conversational agents for internal use are increasingly popular: chatbots created by organizations for their companies.
HR chatbots. They often help with onboarding, manage leave requests, process benefit inquiries, or provide policy information. They are especially useful as enterprise chatbots, since large companies have a high volume of HR requests.
On the other hand, itsm chatbots can alleviate your internal requests, such as resetting passwords or managing support requests.
