Automated bots can do a variety of tasks from marking a date on the calendar, booking a reservation at a restaurant, collecting and displaying information to its users, to informing the user about the weather. The most frequently used model of bots is of a chatbot, which is designed to simulate a conversation with a person. This is the key reason of the widespread acceptance of chatbots in messaging applications. Moreover, these applications are versatile and seamlessly adapt to any environment to help solve different business problems. These applications can help automate tasks that are to be done frequently and at the right time, such as email marketing and responding to frequently asked questions.
As chat is a key part in mobile devices, most chatbot implementations are easy. Most enterprise chatbots come with a hovering box on a webpage offering a unique an experience that turns out to be weak in comparison to the normal customer norms. Though the floating boxes have a significant position, they’re quickly moving out of the bigger picture.
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Rather than working around a single messaging channel, these pieces of proprietary AI shift from IM to voice call to Facebook, from placing an order to registering a query and back without interruption—like an independent entity. Just as phone =-based personal assistants such as Siri and Alexa use data from various applications and devices to improve their services, connected enterprise chatbots can also use information from different channels and internal databases to become smarter and flexible.
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