Chatbot in B2B debt collection: what it is and how it works

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In a Brazil where the number of people in arrears exceeds 72 million, there is an urgent need to improve collection processes. Digital communication has become increasingly common and, considering that we live in a society that is constantly accelerating, it is common for many people to need assistance at times that are outside of normal business hours. Whether the debtor is looking to download a bill to make a payment or seek some type of agreement, or the creditor needs information or support, in these cases a chatbot in collections can easily meet this demand.

However, before we delve into the application of chatbots specifically in the belize phone number list of B2B debt collection, it is important to first understand what they are and how they work.

Check out more information about chatbots below, how they work, how they can be used for credit recovery and what their main advantages are. Keep reading and find out!

What is a chatbot?
A chatbot is a computer program created to simulate human conversations, with the aim of interacting with users and solving their questions or problems. This allows simpler and more bureaucratic tasks to be automated, providing customers with more dynamic and efficient service.

These chatbots can range from simpler versions, which respond to pre-determined queries, to more sophisticated versions such as digital assistants developed through Artificial Intelligence and machine learning that offer a more personalized conversation adapted to the user's needs.

Chatbots are widely used in a variety of areas, including customer service , sales , scheduling , education , and tourism . They help businesses reduce operating costs and maintain excellent customer service standards.

How does it work?
There are basically two types of chatbots: task-oriented ones and data-driven predictive ones.

Task-oriented chatbots are simpler programs that focus on performing just one type of function. They generate automated, pre-written responses based on user interaction. Most chatbots found on the internet are of this type. They are not programmed with great complexity and do not depend on variables, so they meet more basic needs.

On the other hand, data-driven predictive chatbots are more sophisticated, offering more personalized interactions and deeper interactivity. This is the category that includes famous digital assistants such as Alexa and Siri. Based on Artificial Intelligence and machine learning , these assistants learn user patterns and, based on predictive data, offer more personalized and comprehensive service.