Automation Guide for Treasurers: Challenges and Expected Benefits with AI: Case Study


Paul Watters

Director, Worldwide Credit and Treasury,
Mercury Marine

Amber Thompson

Treasury Consultant,


[0:00] Anchor: Thank you for joining today's session on challenges and expected benefits with AI and MercuryMarine. We have with us, Paul Watters and Amber Thompson. Paul is the director of Worldwide Credit and Treasury of MercuryMarine. Paul moved to the US in 2015 to resume his current role as director of Worldwide Credit and Treasury for MercuryMarine. And we have Amber Thompson with us, Treasury consultant and HighRadius, Paul and Amber, the stage is all yours. Yeah. [0:44] Anchor: We also have a signboard with us. She's going to circulate a signboard. Please write down your name and email addresses. It will help us to give you the presentation slides on email and also help you gain one credit for CTP recertification. So yeah, please don't forget that. [1:07] Paul Watters: Good morning, everyone. So, my name is Paul Watters Hi, I'm employed by MercuryMarine, I've worked in their business for about 15 years, doing a number of things and opportunity kind of move in 2015 for the US and take up my existing role. So today what I want to talk to you about is an automation guide. I'm going to be talking a little bit about cash…

What you'll learn

  • Understand how traditional cash forecasting is done using complex excel formulas
  • Discover how AI transforms a treasurer’s workday and how it empowers decision making

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HighRadius Cash Forecasting Cloud – an advanced forecasting system – leverages the proven RivanaTM Artificial Intelligence (AI) platform to provide the most accurate cash flow forecasts – right from a ledger account level and rolling up to the organizational level. Delivered as a Software as a Service (SaaS), the solution seamlessly integrates with your company’s ERPs, accounting systems, banks and order management systems. Multiple AI and Machine Learning algorithms process datasets including bank statement inflows/outflows, sales orders/customers invoices, purchase orders/vendor invoices and expense reimbursements for comprehensive as well as accurate cash flow forecasts. The closed-loop, machine learning feedback system ensures that the forecast models become more accurate with time.