European Payment Practices: Companies delay digitization in dunning.

Currently, a quarter of invoices from European companies are paid late or not at all. Nearly half (48 percent) of financial decision-makers in companies believe that one of the main reasons for poor payment practices among business customers is slow and non-digital processes. 46 percent see one of the reasons for payment delays in staff misconduct, and 44 percent cite formal errors in invoice processing. For private customers, forgetfulness is suspected as one of the main reasons for late payments. Digital processes could provide a remedy here: they facilitate the payment process for customers and ensure transparency regarding payment deadlines. "Overall, digitization creates a smoother payment system and significantly reduces disputes and misunderstandings. On the company side, a fully digitized dunning process reduces manual workload, lowers operating costs, accelerates payments, and allows employees to focus on more complex tasks," notes Paul Baltag, Digital Transformation Manager at EOS in Romania.

Furthermore, digitization helps in addressing defaulting payers: it automatically selects the communication measure that promises the greatest success. "It becomes exciting when it's not just a mere reminder, but also directly offers a streamlined payment option – for example, via a paylink or open banking functions. This way, it's not just a payment reminder, but a smooth solution for customers," adds Dr. Marcel Mayr, Head of Corporate Development at OTTO Payments, OTTO's payment partner. The online retailer OTTO, like EOS, belongs to the Otto Group.

Digitization is the foundation for making data usable on a large scale: "At OTTO, we receive up to 35 orders per second; without smartly automated processes for payment reminders and dunning letters, we wouldn't be able to manage this volume at all," explains Dr. Marcel Mayr. Furthermore, the use of Artificial Intelligence in dunning is becoming increasingly important. "The application possibilities of AI bring 'intelligence' into existing automations, which previously often ran according to simple rule sets. The potential that can be leveraged here in receivables management in the coming years is enormous. In this sense, the AI race significantly increases pressure on those companies that are still in the early stages of digitization."