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The sales team learned very quickly that eliminating the friction from the billing and payment processes facilitated earlier customer payments, hence larger commissions. The bottom line was a 13 percent reduction in DaysSalesOutstanding (DSO) over a 6 month period in conjunction with invoice accuracy rising above 90 percent.
Use data-driven insights to improve customer segmentation and prioritize high-riskaccounts. Monitor key performance indicators ( KPIs ) like DaysSalesOutstanding (DSO) and collection effectiveness to track progress. Reassess what data you are using to measure success.
Larger balances and higher-risk customers receive more personalized and persistent collection efforts, while accounts with smaller balances and lower-risk are addressed through a heavier dose of automated dunning notices. However, that doesn’t exclude an opportunity to do even better.
In an ongoing Collections environmen t , you will have already contacted the highriskaccounts, so your prioritization scheme should be as follows: Accounts previously contacted that have failed to pay as promised. In fact, broken promises should be followed up the day after the payment was expected.
As a result, your accounts receivable reporting software offers a number of specific benefits, including: Better cash flow management. Having the most accurate customer data at your fingertips allow you to identify high-riskaccounts and prioritize your collection efforts to optimize cash flow. Greater A/R efficiency.
Poor Credit Controls: Poor credit control practices can result in providing goods or services to high-riskaccounts that are likely to pay beyond terms or even default on payments. Photo by Elisa Ventur on Unsplash When a company’s AR under-performs, the consequences are substantial. An under performing AR.
Start small with these core KPIs and then expand your options as the need arises: DaysSalesOutstanding: It gauges how long it takes for customers to pay their invoices. Accounts Receivable Turnover: This metric measures how quickly customers pay off their debt. Book a demo today to see how it works.
How can AI help decrease DSO (DaysSalesOutstanding)? Reducing DaysSalesOutstanding (DSO) is a perpetual challenge, and AI emerges as a strategic ally in this pursuit. This enables companies to focus their collection efforts more effectively and prioritize high-riskaccounts.
In terms of accounts receivable , this means you can track a customers payment history, assess their current creditworthiness, identify any overdue payments, and tailor your communication strategies based on their unique characteristics. The Importance of Customer 360-Degree View for CFOs and AR Teams 1.
Prioritization of Collection Efforts: Using analytics to focus on high-riskaccounts and optimize collection strategies. Reduced DaysSalesOutstanding (DSO): Streamlining collections and cash application processes shortens the time to convert receivables into cash.
By understanding when large payments are due or when customers are likely to delay payments, CFOs can take proactive measures to mitigate risks, such as adjusting payment terms or focusing on high-riskaccounts.
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