Case Study: Orange Romania improves bad debt recovery with PredicSis AI

Increase the performance of your cash collection process

Orange Romania needed to improve its collections process by applying the right recovery policy to each invoice and customer without damaging customer relationships. To do this, Orange turned to PredicSis and its AI-based predictive analytics solution to better assess invoice-level financial risk.

PredicSis used data such as CRM records, call detail records, and payment history to build a predictive model that separates good payers from bad payers and assigns a risk score to each new invoice. Based on that score, Orange could automate the appropriate action, from reminders to service suspension, and PredicSis helped Orange Romania increase its recovery rate by more than 20% without raising overall recovery costs.

Orange

Julien Ducarroz

CCO