Issuing data and so on. Now, when debt, there are some applications in which technology and, in particular, artificial intelligence can play a very important role. For example: triggering collections through virtual agents is a good strategy to increase operator productivity . This way, professionals can focus on other contacts, such as those users who ignored initial negotiation attempts. On the other hand, AIs like Speech Analytics help call centers to analyze the productivity and effectiveness of the service through call analysis . This technology issues information such as mentioned keywords negative words.
Whether the service script is being followed, call productivity, and so on. With this automation of quality monitoring , it is possible to analyze consumer behavior patterns and identify, for example, which arguments are more convincing, more attractive negotiations for the consumer, and even if the perfect mobile number list do problem is in the preparation and training of the team. This way, you will not only be able to reduce defaults, but also guarantee dozens of other advantages for your service process. ebook: how to increase efficiency in collections call centers Know your customer's history.
Understanding your customer's behavior patterns is very relevant when you plan to reduce a business's default. Imagine that a user has not paid a bill and, when investigating his past, you discover that, normally, he pays all his bills on time. The chances of him not having paid for forgetfulness increase considerably, do you agree? Therefore, only a reminder can help in this case . Now, if a customer has a more problematic history, the complexity increases. Understanding whether this consumer is in debt can be the initial trigger for you to make more accessible and flexible negotiations , for example. To collect this information, it is also possible to rely on technology. AIs such as Call Tracking and Speech Analytics assist in the analysis of consumer history. The first tracks, records and qualifies calls. The second, in turn, brings insights about customer service and other data.