Complimentary Webinar 

Explain Like I’m Five

The Non-Nerdy Guide to Artificial Intelligence in Order to Cash

Wednesday, 20th March, 2019 | 2:00 PM - 3:00 PM GMT

Key Takeaways Include

  • Why data is a must for automation and which data do you need?
  • Which everyday order to cash decisions could AI assist your team to make
  • How does AI work in simplest terms!
  • How order to cash teams could benefit from autonomous decision making


Gwyn Roberts
Gwyn Roberts, Vice President EMEA
HighRadius Corporation

About The Webinar

The importance of data for decision making by a software can be observed when you try searching for directions on Google Maps in off-line mode. In the absence of live data, it only proposes a list of possible routes but can’t tell you which is your best route available at that time. The AI-engine of Google Maps uses live information collected through Internet to make decisions which simplify your life.


Can Artificial Intelligence (AI) in Order to Cash (OTC) also make such useful predictions when equipped with the right data?


After all, there is no dearth of data on customer behavior, payment patterns and ordering history. Could ML start making sense of all this information to make useful predictions such as likely delay in payments, the validity of customer claims, missing remittance values or increased customer risk? The answer is YES.

Join Gwyn Roberts, Vice President, EMEA, as he shares his insights and experience to gain a comprehensive yet fundamental understanding of Machine Learning in order to cash.

About HighRadius

High Radius’s Award-winning AI-enabled solutions powers 200+ Fortune 1000 companies optimizing their Order-to-Cash and Treasury Process. HighRadius™ Autonomous Systems, comprising of Integrated Receivables™ , Cash Forecasting Cloud, Rivana™ and Freeda™ , uses AI-powered technology and digital assistants to improve your Receivables and Treasury processes beyond best-in-class industry benchmarks.