Artificial Intelligence and Phone Collection: assigning the best agents to the most complex practices
Debt collection campaigns can be very complicated to manage and the companies that manage them must take into account numerous variables in order to achieve their objectives, such as the propensity of a debtor to repay their debt and the economic value that has to be recovered. Currently, the processing method used by most companies dealing with Debt Collection consists of randomly assigning the contacts present in the lists to the operators, without performing any prior analysis on them.
Phone Collection and Artificial Intelligence: how prioritizing lists facilitates the achievement of goals
Companies that work with debt collection, and especially Phone Collections, must be able to establish strategies that cope with different levels of difficulty, some related to the very nature of the debt to be recovered and others related to the debtor’s propensity to pay, or not to pay, their debt.
Expert agents on complex recoveries: how Artificial Intelligence can make a difference in Phone Collection campaigns
Phone Collection campaigns are very complex and must take into account several variables that, if not addressed in the right way, can prevent or slow down the achievement of company objectives.