Question: I'm looking for a solution that uses machine learning to optimize debt collection rates and minimize reputational risks.

January is a digital debt recovery platform that uses machine learning to optimize debt collection while protecting borrower satisfaction. It includes automated compliance to reduce risks, real-time auditing for creditor visibility, and borrower segmentation. The result is a system designed to help lenders and debt buyers of unsecured consumer loans -- credit cards and personal loans -- recover debt while protecting their reputation through a client portal that offers real-time performance monitoring.

Another option is Paymefy, an AI-based debt collection optimization system. Paymefy automates customizable communication sequences across multiple communication channels, reducing the need for human calls and letters. Its features include one-click payment options, multi-invoice payments and a feedback loop. Through its API integration with ERPs and CRMs, Paymefy helps businesses recover debt faster and at lower costs, resulting in substantial cost savings and improved productivity.

For a more complete system, Billtrust offers an AI-based accounts receivable platform that streamlines the order-to-cash process. With automated credit approval, AI-based eCommerce integration and optimized collections, Billtrust improves cash flow and customer satisfaction. The platform automates much of the work and improves AR processes, making it a good option for companies looking to optimize their collections operations.