Optimize the real-time charging experience
Developing an effective collections strategy consists of using available information and extracting valuable insights from customers to generate alerts and guide quick actions in real time. In this way, the customer experience is improved; this is achieved through collection platforms such as iUCollect or iCS Cloud that integrate predictive and analytical technologies based on:
Customer data lake
Through which a rigorous understanding of customer experiences can be realized by collecting their data in detail, dynamically updating their information and connecting it together to map and monitor customer behaviors, interactions, transactions and operations.
Predictive scores
With any of our platforms you will be able to make decisions in real time, based on data analysis from different information sources and machine learning algorithms.
In addition, they will be able to understand and measure the factors that are influencing the non-payment of their customers’ obligations, learn about their experience satisfaction and action history, and thus determine new strategies that exceed their expectations.
Strategy engine
The iUCollect or iCS Cloud strategy engine, which is based on data lake and customer profiles, generates recommendations and management alerts to customize customer preferences such as: paydays, best time to contact and most suitable channel for efficient interaction.
With our platforms you can:
- Optimize strategic decision making in real time based on customer behavior.
- Measure and guide employee performance.
- Generate an accurate and quantified view of the factors that are influencing customer experience and portfolio recovery.
- Create significant customer value with a variety of contact and payment options.
- Improve the customer contact experience.
- Among others.