Why RPA May Be Bad for ROI in the Long-Term

Key Takeaways

Improve credit and sales collaboration through proactive blocked order resolution and rapid customer onboarding.
Reduce DSO by designing proactive collections strategies using machine learning and AI.
Reduce revenue leakages by automatically segmenting deductions and providing actionable next steps fast-track dispute resolution and recover invalid deductions.

Speakers

Diana Crowe, Financial Technology Principal, HighRadius

About The Webinar

Order-to-cash shared services leaders are counting on RPA initiatives to cater to the executive agenda of cost reductions in operations. While RPA has a lot of potential in automating repetitive tasks, shared services leaders could stand to gain more if they couple RPA with AI.

The key then is to differentiate between capabilities of RPA and AI as technology vendors use them interchangeably thereby confusing everyone.

Join us as we compare and contrast these two technologies and help you understand how a day in the life of an O2C analyst could be radically transformed in 2019.

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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.