Invoice written, money received – the ideal scenario for businesses. But if the money doesn’t appear it may also have something to do with your invoicing. These eight reasons at least are avoidable.
Want to buy in installments at no extra cost? We explain how interest-free credit works.
Customers of Würth in Hungary pay their bills faster since the building technology giant has partnered up with EOS. All without damaging customer relations.
The receivables collection experts of EOS KSI bestows the green energy provider with better results.
Forecasts based on averages are so last year – these days, companies can perform complex live simulations for every one of their clients.
Hrvatski Telekom is the largest private investor in Croatia. To boost its financial position, the Group sells receivables to EOS Matrix.
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.
A 19.8 percent increase in turnover. 237.6 EURO million in earnings. And 7,441 employees with zero doubt about the future: EOS had a great business year 2017/18.
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.
Defaulting payers often react with skepticism and rejection when EOS reaches out to them - until they realize that the call center agents are actually here to help them.
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.
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.
How does data-driven decision making work in receivables management? Pioneering work done at EOS shows the potential of machine learning.
Most SME don't have a professional dunning system in place. Now they can turn to the Deutsche Verrechnungsstelle (DV) to cover that base.