Measuring the creditworthiness of customers and debtors’ portfolios, as well as the expected value of the doubtful debts is of outmost importance. Current credit limit assignments, collection processes and marketing actions do not consider the actual customer credit risk.
Visualization and analysis on top of Big Data (network and non-network) from multiple sources, where knowledge of position and time allows for extraction of space-time dependent insights
The EU-funded LOCUS project aims to improve the functionality of 5G infrastructures, to provide accurate and ubiquitous location information, and derive more complex features and behavioral patterns out of raw location and physical events.
Retention of customers is hard (no-contract compared to postpaid customers); no clear definition of churn/churners; short-term nature of prepaid products; customers moving among providers; False identification of churners; Seasonality.
Incelligent offers software solutions for large corporations to drive digital transformation using Big Data and machine learning-powered analytics. Its platform supports AI model deployment in predictive analytics across industries.
The company bridges the gap between AI/Big Data advancements and business needs, prioritizing practical applications. Its first customer contact is the Business Analysis team.
