Machine Learning 101 for Collections and Recovery Professionals

Learn how machine learning can supercharge the collections process and how Snap Finance moved from skeptics to advocates of a digital-first, ML-powered approach to collections.

In 2021, businesses across verticals are embracing the value of machine learning systems, which learn and self-optimize over time. The collections industry is no exception but questions remain for many lending organizations: what does it really take to make the transition to ML-powered collections, and what is the long-term ROI?

In our on-demand webinar, Ohad Samet, CEO and co-founder of TrueAccord, will give a primer on how machine learning can supercharge collections processes. We will also be joined by Snap Finance, who will share how they moved from skeptics to advocates of a digital-first, ML-powered approach to collections. 

Additional topics will include:

  • Why all “machine learning” solutions are not made equal — and what key metrics to look for when evaluating technology vendors
  • How best-in-class machine learning collections solutions avoid bias and help lending organizations remain compliant with regulations
  • How to develop a crawl-walk-run approach to decision-making and vendor adoption, when partnering with machine-learning-powered collections solutions providers

About TrueAccord

TrueAccord is a full-service digital-first debt collection agency that has worked with more than 20 million consumers of major banks, issuers, eCommerce companies and direct lenders. We are transforming the debt collection industry and helping consumers reach financial health with convenient payment plans, customized billing schedules, and easy documentation.