Case Study: Edward Don & Company cuts DSO by 5.3 days and reduces collections risk with FIS Predictive Metrics

Keeping an Eye on ROI What is Edward Don & Company Doing Differently to Reduce Collections Risk?

Edward Don & Company, a privately held distributor with over $600 million in annual revenue, faced rising collections risk and operational friction from a decentralized 41-person credit and collections team managing 35,000 accounts. The company relied on generic bureau scores and internal judgmental scorecards that flagged 66.2% of accounts as high risk—resulting in excessive order holds (98% of which were manually released), frustrated sales staff, and credit analysts spending too much time on reviews instead of proactive collections. To address this, Edward Don & Company engaged FIS and its Predictive Metrics statistical scoring suite.

FIS validated and deployed Predictive Metrics using Edward Don’s historical A/R data, delivering fresh, calibrated risk scores within one business day and monthly scoring thereafter. The FIS solution enabled prioritized, probability-based collections and credit-line management, cutting DSO by 5.3 days, reducing the share of accounts classified as high risk to 14.1%, increasing collector phone activity by 25%, lowering orders on credit hold, decreasing bureau-data spend, and allowing the company to maintain headcount during growth while improving cash-risk visibility.

Edward Don & Company

John Fahey

Director of Credit