Summary
This module introduced the Customer payment predictions feature and the benefits that it offers. Some benefits include a higher likelihood of being paid on time by customers, a more accurate cash flow forecast, and the ability to visualize factors that increase the chances of being paid late.
The Customer payment predictions feature helps increase the chances of being paid on time because it allows organizations to get ahead with the collections process by showing them the customers who are likely to pay late. Additionally, organizations can form more accurate cash flow forecasts because they have a better idea of when they will receive payment from customers.
Lastly, the Customer payment predictions feature provides details about which factors caused the AI software to determine whether a customer is likely to pay on time, late, or very late. These details allow you to observe how the system came to its conclusion. If you’re not satisfied with the accuracy of the prediction, you can go into AI Builder and edit the fields that train the model.
- To learn how Customer payment predictions can provide the information that is required to proactively begin collection activities, see Use Customer payment predictions.
- For more information that can help you evaluate the effectiveness of the prediction model after you've started using the feature, see Evaluate the initial customer payment prediction model.
- For more information that can help you adjust the data that is used to build the prediction and thereby improve its effectiveness, see Improve the prediction model.
- To learn more about the results of AI prediction models, see Results of machine learning models.