Another set of Chatbots is aimed at improving productivity by helping with everyday chores.

Over the years, Chatbot technology has evolved into ever more complex systems, where computer responses have been modeled using human linguistic semantics and heuristics.

Using AI to predict responses expected from a user, allowed the conversational capabilities of these systems to expand, putting bots as the first line of response to customer service inquiries.

Providing customer support service and assistance is an integral part of many businesses, ranging from banking to educational institutions.

Traditionally, customer service representatives’ daily activities include monitoring phone lines or live chats for customer inquiries, and providing assistance when customers reach out to them.

While this approach is still far from perfect, it provides a much more relatable experience.

On a more basic level, advances in Machine Learning technologies have also made these systems a lot more robust and efficient.

Chatbots are automated chat engines which augment their human customer service counterparts and handle some of the volume of incoming customer requests by focusing on predictable and routine inquiries.

Working through both visual and voice user interfaces, they can respond to questions directly through messenger-like systems, as well as through traditional phone line based communications.

Customers prefer talking to a machine that has a character, like Microsoft’s teen-spirited Toy.