Conversational AI is an artificial version of Artificial Intelligence, which enables individuals to converse with electronic devices, programs, and applications in humanlike language through voice, text, gesture or touch input. The term was first used by John McCarthy in 1982 in his paper "A brief history of AI". Since then it has been frequently used in a variety of contexts including marketing, business, science, military, education and healthcare.
The use of chatbots in everyday business processes is widespread due to obvious benefits. Such platforms enable users to record audio conversations (such as in call centers) or participate actively in discussions in online forum forums or in meetings with colleagues and clients. Such experiences can be used for a wide range of business processes. Some common examples include: recording sales proposals and verbal promises, training, coaching, real-time collaboration with prospects, and facilitating telephone conversations with clients. These experiences enable business to leverage the full power of recorded audio streams and apply lessons learned in more targeted and concrete business processes.
Another popular application of conversational AI platforms is in customer service or relationship management. A good example is the customer relationship management or CRM software used by banks, hotels, mobile phone companies, and other businesses. Such systems help users automate interactions with customers to maximize customer satisfaction and provide businesses with insights on how different customer channels work.
Some larger businesses may have already deployed conversational platforms to automate their sales, customer services and product or service tracking systems. However, smaller and startup businesses may not be aware of the benefits these systems offer. In fact, many SMBs are finding that deploying such a system allows them to save on costs and resources. Since they don't need to hire employees to deal with customer interactions, there's no need for additional staff. And because the systems run on back-end web services, owners need not invest in the technology needed to operate the platform itself.
One reason why small and startup businesses may choose to deploy conversational ai platforms is to reduce their need for customer support professionals. Customers can be served efficiently by automated systems that automatically capture their experience data, which can then be stored or shared with human support personnel. The system also eliminates other forms of communication that customers often use such as e-mails or text messages. Instead, the system will deliver relevant information based on the customer's unique characteristics.
With a conversational AI platform, a business can eliminate the need for costly support personnel. This also frees up staff members who can be allocated to serve customers individually. By automating a business's interactions with customers, it ensures that every customer interaction is handled efficiently and in a manner that is in line with the customer's unique needs. By applying natural language processing technologies to voice conversations, businesses can ensure that conversations between human and machine are always informative and productive. You can check out this link: https://en.wikipedia.org/wiki/Conversational_user_interface to get more info on the topic.
