Seven Ways to Get Your Buyers to Pay - Faster
Seven Ways to Get Your Buyers to Pay - Faster Every AR team has a challenge with collections: when you offer your customers credit, collections becomes an inevitable part of the credit-to-cash …
Onboarding, Training, and Covid-19: The impact on hiring in AR
Onboarding, Training, and Covid-19: The impact on hiring in AR We’ve gotten accustomed to using technology to communicate with our internal teams since Covid-19 enforced work-from-home policies: Google Chat, …
The Art of Automation and Summer Vacations
The Art of Automation and Summer Vacations How can we possibly be thinking of vacations now? 
Machine Learning and AR Team Morale: How two key features can make cash application fun again
Machine Learning and AR Team Morale: How two key features can make cash application fun again Ideally, every payment your business receives is neatly accompanied by the remittance advice which shares exactly which invoice is being paid and how …
Drive a Faster, Happier Collections Process for Your Customers with AI/ML
Drive a Faster, Happier Collections Process for Your Customers with AI/ML Collections management is a central part of the credit-to-cash process. It encompasses all the activities that happen after an invoice is sent to a …
Three Ways to Use Automation and Machine Learning to Resolve Disputes and Increase Cash Flow
Three Ways to Use Automation and Machine Learning to Resolve Disputes and Increase Cash Flow When an invoice or purchase order is in dispute, it puts the payment at risk. With the payment at risk, several factors are now potentially impacted:
How collections management with AI/ML can improve customer loyalty
How collections management with AI/ML can improve customer loyalty It might seem a bit oxymoronic to put those two words together - collections and brand loyalty. One suggests chasing errant customers, and the other …
Why Financial Services Institutions Need AR Automation Right Now
Why Financial Services Institutions Need AR Automation Right Now It’s an unusual time for financial services companies. And difficult.