Machine Learning and Debt Collection

This is a collection of articles related to the application machine learning to debt collection and accounts receivable management. These articles focus on this innovative area of data science. They will provide you with valuable information and insights on how to optimize your debt collection strategies and tactics by using artificial intelligence and machine learning. In them you’ll learn how ML can help you increase collection rates and accelerate recovery time.

Our well-researched tech content is written by senior members of our leadership team. They are technology specialist with a strong expertise in machine learning and AI.

Amongst the machine learning topics covered in our content, you’ll find:

• How machine learning can deliver the right message at the right time.
• How augmented intelligence can improve compliance.
• How to achieve continuous improvement through ML
• Why machine learning is one of the hottest topics in banking

We publish new valuable content roughly once a week. That means no endless self-serving advertorials here. Just valuable information to help you craft your strategy.

Other topics of interest

In addition, we also publish a series of white-papers on Omni-channel debt collection and Deployment strategy. Furthermore, we’ve created some very detailed and in-depth Customer success stories. Each story shows you a roadmap of how our clients achieve big results.

Sign up for timely content

Want to stay up to date with our latest debt collection publications. Just sign up to receive our email here. In addition, you can also follow our Katabat LinkedIn page here. We respect your privacy and your inbox. We’ll only send you timely content that matters most. And you can always unsubscribe at any time.