What has really changed in cash forecasting the past ten years, not much. It still remains a process filled with challenges such as lack of accuracy, visibility, and accountability which is resulting in suboptimal decision making with respect to working capital allocation and long-term investment/funding.
The good news is that automation and Artificial Intelligence have finally made their way to cash forecasting empowering treasury professionals to deliver more value from cash forecasting. How are they doing it? Join Tracey Knight, Director- Solution Engineering, Treasury at HighRadius to discover the answers.
HighRadius Autonomous 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. Autonomous 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.