Data Science applied to generate more business value.
We use Data Science to improve business efficiency and create additional value by means of data, developing predictive analyses to generate insights and maximize customers’ business, mitigate risks, increase self-service channels’ retention, and minimize callbacks and complaints. Our value proposition focuses on performance (propensity models, people analysis), reduced cost per interaction, and machine learning to enable the AI platform.
Use of the Stress-o-meter, a statistical model without parallel in the market that identifies and categorizes complaints filed over all kinds of channels.
Digital Voice tool for mass analysis of data collected from interactions on voice channels and to spot opportunities for improved indicators and processes.
Predictive analyses to generate insights and maximize customers’ business.
Improved business performance through predictive models and people analysis.
Managing the late stage collection process focusing on credit recovery. It has an analytics layer to improve data in order to ensure the location of the final consumer, generate models of payment propensity, scoring and intelligent segmentation. Offering efficient channels, attraction and re-marketing campaigns for negotiation with reach and recovery.View More >
Collection management for debtor companies, seeking to reduce bad debt and maintain active customers. Through the assertive location of partners and / or financial managers of the companies, negotiation is accompanied from start to finish by negotiators with a different profile, which associated with the use of innovative technologies, guarantee the best delivery in credit recovery.View More >
The most efficient end-to-end collections solution: it operates on every phase and channel to gather the various features and tracking KPIs on a single platform. Simplifies management and adds intelligence and speed to the process.View More >
Driven by Predictive Analytics that triggers proactive interactions with customers, using integrated multichannel to provide better customer experience, which focuses on to avoid the churn risk and keep a long-term relationship.View More >
Intelligent interactions applied over the customerlifecycle, focusing on reversing wishes or requests to cancel services or products, as well as complaints monitoring to predict possible cancellation requests. High skilled anti-attrition profile agents prepared to reverse the cancel request or to make an alternative offer.View More >
Applies semantics technology and Data Science to predictive analysis of the best course of action, with agile customer responses, focusing on engagement and efficient troubleshooting. Plus content curating and service systems integration, in addition to human contact as needed.View More >
B2B sales-oriented digital and non-digital strategies that generate greater efficiency and increase sales conversion, long-term relationship with real-time performance management and 24 hours available.View More >
Solution that use direct sales technique integrating the advantages of a face-to-face client contact with the use of technology tools, application of methodologies, adaptation of profiles and correct operational management.View More >
See how this solution works in practiceContact us
LUI – Language User Interface
The challenge was to develop a humanized IVR for a payments company, focusing on the main journeys and best possible user experience.
Digital Agent Sales
Data Science at the service of propensity and behavior analysis, in addition to multidisciplinary teams tracking results in real time, helped increase conversion-process agility.
This project earned public recognition (Cliente S/A 2019 award, Smart Customer 2019 award), improved service, and built the loyalty of the power utility’s customers. The use of virtual services was extended and service costs were down 30%.