Revenue Intelligence® for Cash Collection supports the utilities sector in maximizing cash flow and providing insightful information regarding the most appropriate method to reach out to defaulting customers (missing one or more payments). With the set of business applications available in Choice Revenue Intelligence® , electricity, water and gas distribution and/or retail companies can more closely accompany the bill-to-cash process, complying with existing dunning rules and proactively understanding customer payment behavior.
The following video illustrates how Choice Revenue Intelligence® for Cash Collections supports Negotiations.
Choice Revenue Intelligence® is fully customizable and includes a highly intuitive user interface.
Our Digital Platform aims to boost Business Efficiency in the cash collections process, shortening collections time, providing guidance on collection activities that ultimately will help reducing defaults and write-offs.
Choice Revenue Intelligence® for Cash Collections embedded Machine Learning engine enables the management and optimization of collection actions for default situations. As part of its standard deployment, the platform makes available a series of predictive models that take into account customer’s payment history, consumption information, and even, customer location. Some of the more notable models include:
- Propensity to default payments: predicts the probability of a consumer defaulting, with respect to projections of 30, 60 and 90 days terms.
- Propensity of response to collection actions: predicts the probability of payment for a given action / payment collection method.
- Propensity for spontaneous response: proactively predicts the probability of having a customer paying outstanding debts without the need to execute any action.
Choice Revenue Intelligence® for Cash Collections is a modular platform, developed to comprehensively meet the requirements of the debt collection and negotiation processes.
Customer Analysis deep-dives into each individual customer situation. Through search features and Google Maps/Street View integration, it is possible to view contracts and related invoices. It includes predefined and configurable layouts such as Debts, Payments, Installments, Collection action events and Service Order Events.
Advanced Analytics provides several prebuilt reports to increase visibility across the business process that will support decision making processes that aim to reduce debt and accelerate return on investment. Some examples of these pre-defined reports for monitoring and control include detailed execution of business processes, Daily performance of separate collection actions, Level of delayed payments, Performance of disconnection teams as well as Balance, debts and installments paid.
Selection allows for prioritization of customers based on the Next Best Action considering Customer Propensity and Financial Impact (Total Amount Due and/or Total Quantity of Pending Invoices).
When required – for face-to-face negotiations for instance – the geographic user interface may be used to cluster those customers in proximity to each other, leading to increased field team productivity.
Each collection action can be scheduled based on underlying customer properties and statistical scores. Furthermore, when monitoring action results, the platform enables the cancellation of outstanding or low-performing actions, reducing operational costs.
Pattern Recognition transform underlying human knowledge into business rules. Together with this functionality, it is possible to simulate rules based on the history of collection actions, forecasting cash collection rates and amounts based on probabilistic criteria.