Katabat Launches Machine Learning-Powered Debt Collections Software

Global software provider Katabat has released Katabat Engage, which delivers data-driven debt collections powered by machine learning to consumer lenders. Katabat Engage helps lenders collect more dollars through a platform of personalized, digital communications tailored to customer preferences. Powered by a proprietary machine learning platform that has performed well in Google Kaggle competitions, Engage enables lenders to deploy customized e-mail and SMS text collection messages and continuously tune customer outreach and response strategies. "We are very excited to present Engage to our clients and the broader marketplace," said Katabat CEO Ray Peloso, who recently did an interview with Thrive Global about how machine learning can improve the customer journey. "Our data science team has built a mature and reliable data pipeline for machine learning and continues to demonstrate the power of the platform through its success in several Google Kaggle machine-learning competitions."