THE IMPACT OF ARTIFICIAL INTELLIGENCE IN THE DEBT COLLECTION PROCESS

Abstract

The paper discusses the stages of development of accounts receivable in the digital world. The focus is on the possibilities of collecting accounts receivable using artificial intelligence. The characteristics of receivables are described. The process of collecting receivables is defined using the automated platform Emagia, equipped with artificial intelligence. Accounts receivable indicators are characterized and the accounts receivable turnover ratio and daily sales rate are calculated. Opinions are formulated based on the conducted research. Effective collection of receivables ensures that a company has the necessary funds for daily operations, pays its bills, and is able to invest in the future. Improving the receivables collection process underpins every aspect of a company's strategy, from fundamental principles to the use of automated systems.

Effective management of accounts receivable is a critical component of a company's financial sustainability. The analysis showed that although part of the company already uses automated systems and performs monitoring, there are still significant challenges in the receivables management process, such as: Insufficient effectiveness of the control mechanism, the need to improve payment terms, and incomplete formalization of financial policy.  Artificial intelligence allows companies to effectively manage financial flows, reduce overdue debt, and improve liquidity ratios.