What if your account receivable collections strategy could be powered by insights from 13 million buyers and $1 trillion annual transactions?
Billtrust sits on a mountain range of debtor data, and it’s telling a valuable story that every finance organization should use to optimize their collections activities. Through an intensive AI analysis, Billtrust has identified which payment reminders trigger the fastest invoice remittances, which communication channels are best for collections outreach, and which timeframes are the most effective for getting a response from delinquent buyers.
Ready to ditch your static dunning schedule and use the latest data intelligence for collections operations? Keep reading to understand why a one-size-fits-all approach is no longer effective and walk away with a new standard of AI-driven methods for reducing bad debt and improving corporate financial health with fewer write-offs.
Traditional Dunning Schedules Don't Work
Legacy AR collections procedures typically rely on rigid payment reminder schedules. Outreach is set on fixed intervals, and calls are made based on arbitrary dates. While these static approaches have long been considered “industry-standard practices,” they often lead to unintended consequences.
The Problem with Traditional Approaches
- Buyers are contacted too early or too often, blanketing them in frustrating communications that and deteriorate the customer experience
- One-size-fits-all approaches mean high-risk accounts get the same treatment as reliable ones
- Manual collections processes obscure success measurement and attribution — which nudge actually spurred the payment?
Macro-level trends can compound the issue, making ineffective collections practices increasingly risky.
These realities emphasize the deeper issue: AR leaders lack the data science resources to intelligently engage with customers about their overdue invoices.
That’s why Billtrust is empowering finance leaders to transform collections practices using AI. By applying advanced algorithms to Billtrust’s vast network of debtor behavior data, our experts have uncovered the next generation of best practices for collector teams. And we’re not just sharing these insights for the benefit of all; we’re putting these same AI tools to work in our clients’ own AR environments for even higher recovery rates.
Here are our research findings.
