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We are experts in managing end-to-end consumer relationships.
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.
Late Collections
B2B Collections
Digital Early Collections
Shielding
Retention
Social Media Engagement
Digital Customer Care
Cross & Up-Selling
B2B Sales / Inside Sales
Field Services
Digital Sales
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.
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Contact usMeet our cases:
Centralization of Mexican Market Telephone Sales
Increasing the sales of a particular insurance scheme offered by a bank.
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.
Articles
How to adapt the profesional profiles to the new demands and challenges of society
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Customer service now requires more customization
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How is the sales force transformed in the digital age?
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