The Debt Collection department of the client had very limited resources and their effort was not always worth it. They were not able to foresee the results of their debt collection effort or the time spent on a single account.
However, they had a database with a long history of debt collection experiences together with the details of the actions taken and the results of the actions.
Sigma’s classifier learns from the historic and current data, so it can later estimate the probability of debt recovery for each debtor.
The learning process takes less than 2 hours once the data is available.
They also had very stable monthly results and increased the profitability of the department.