QUALCO 360 is a constantly expanding technology ecosystem that enables you to rapidly align operational activity with ever changing customer behavior. Combining analytics with Machine Learning and a comprehensive collections system it revolutionises the management of NPLs and NPEs and radically reduces losses.
QUALCO 360 supports the collection of Account Receivables in all sectors, from banking to NPL servicing; retail credit to utilities; consumer, SME, and corporate both secured and unsecured. It also covers the whole credit lifecycle, from high-risk performing, through to early-stage delinquency to legal and recoveries.
QUALCO 360 provides a forward-looking, digital first approach to NPE case management that delivers a seamless customer and user journey.
From self-service capabilities to digital business models and process automation, QUALCO 360 delivers your entire digital transformation journey
Organise your data and maintain a bird’s eye view of your portfolio’s evolution
Ingest, transform, and time sequence data for analytical assessment in a way that’s easy and compliant
Apply accessible Machine Learning algorithms to identify behaviors and categorise customers into unique sub-populations
Implement operational treatments tailored to meet the needs of specific segments of customers in order to maximise performance
Collect, analyse and combine data from all customer interactions across all channels into a single customer view, for enhanced customer service
Improve management of NPL and cut losses with a comprehensive collections system based on analytics and Machine Learning
Use expansive automation features to allow your staff to focus on the customers who really need your help
Gain clarity into your operations and optimize day-to-day decisions about solutions
Create comprehensive reporting and ensure regulatory compliance
Shape your portfolio solutions strategy and translate strategic initiatives into estimates of the impact on your bottom-line
Make data-driven investment decisions and see valuable and quantifiable results
Visualise new outcomes and anticipate new opportunities
Allocation of customers to debt collection agencies (DCAs) and other third parties is an important part of the management of any debt portfolio. However, the actual process by which this allocation is made varies significantly across types of debt, jurisdictions, portfolio originators and servicers or panel managers.
QUALCO 360 provides you with all the necessary tools required to optimise the allocation of individual customers to specific DCAs in order to maximise a defined objective, for example, cash collected. In addition, it minimises the disruption of existing business practices and the need for enhancements to existing technical capabilities.
Some of the benefits are:
When it comes to credit risk management history has showed repeatedly that proactive monitoring is the difference between success and failure.
Qualco 360 offers a complete early warning mechanism that is an essential component of a sound debt management framework and a great tool to:
Using data analysis and machine learning algorithms we identify early warning indicators, so the triggers and events that take place before a customer starts missing payments. Using predictive models we profile, visualise, segment, and ultimately prioritise the conversations and messages that are going to go out to pre-delinquent customers.
The outputs of the modelling feed the operational activity (either a work list or a comms tool, e.g. a campaign manager/dialer) and launch the proactive action to try and pre-empt the debt happening.
Self-curing is a strategy that provides a grace period for a customer in which to pro-actively pay off their outstanding balance before investing the organisation’s resources to contact them to make a direct request for that payment. Digital communications and self service capabilities play an integral role in this phase.
With QUALCO 360 you are able to identify and segment consumers who are eligible to self-cure while you are offered a complete digital collections ecosystem that enables you to:
A self-cure model based on machine learning and big data can identify successfully self-cure accounts, eliminate false positives, and allow creditors to concentrate their collection activity on consumers with higher risk scores.
The outputs of the modelling feed the operational activity and the respective customers are informed about their delinquent status and their options to use self-service tools to pay or to register a promise to pay.
During self-collection stage, digital and self-service are the only open customer communication channels.