Debt collection companies use disreputable practices and are only worth engaging if you are a big company anyway. There are a lot of such misconceptions about debt collection. We’ve looked at the most persistent ones.
Artificial intelligence (AI) will not do away with a lot of jobs but make them more interesting by taking over routine tasks. The key to success: clean databases.
Investments in debt purchases: Dr Andreas Witzig, Member of the EOS Group’s Board of Directors, on the development of revenues in the Western European and North American regions.
The call center agents at EOS have quite a record of helping people to pay their dues.
Belgium's leading bank BNP Paribas Fortis has handed its receivables management over to EOS Aremas - to better focus on their core business.
United Bulgarian Bank just sold the largest debt portfolio ever in offer in Middle- and Eastern Europe. Few companies can handle such a deal - EOS Matrix is one of them.
The predictive power of its analytics platform D3 enables EOS to contact each debtor in the most promising way - with convincing results.
EOS partner company Al Wadi is working in one of the most challenging markets for receivables management: The United Arab Emirates.
With its new Center of Analytics EOS now has a shared data platform for all its subsidiaries. It analyzes data from all markets and accounts for their regional characteristics.
How does data-driven decision making work in receivables management? Pioneering work done at EOS shows the potential of machine learning.
You don't want to annoy a customer - even if he missed a payment. That's why Slowakian lender Home Credit hired EOS KSI to handle its arrears.
Most SME don't have a professional dunning system in place. Now they can turn to the Deutsche Verrechnungsstelle (DV) to cover that base.