Achieving operational savings in cash application is a critical objective for organizations focused on increasing working capital and maximizing cash flow. While this may be a key emphasis of an organization’s operation, the day-to-day processing of payments could be complex, time-consuming and wrought with multiple challenges that hinder optimized operations. The speed of receipt of electronic payments has improved, but processing the de-coupled remittance from even a single large customer requires valuable man-hours. In addition, customers may claim a tedious number of deductions that require proper coding or may send payment with partial or no remittance information.
Handling these and other customer-related issues could significantly reduce the rate of straight-through processing, thereby increasing operational costs and impacting the overall working capital of an organization.
Fortunately, there are ways to successfully address these issues. Join Elaine Nowak, Director of Product Marketing and Management from HighRadius as she shows how companies have successfully achieved high hit rates for straight-through processing using automation technology.
HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.