Complimentary Webinar

5 Metrics To Understand The Excel vs AI Cash Forecasting Debate

Speakers

Tracey Ferguson Knight

Director- Solution Engineering Treasury HighRadius

What you'll learn

  • Reveal the 5 key metrics one needs to monitor when measuring cash forecasting performance
  • Compares Excel-based forecasting with AI-powered one by quantifying the performance using these metrics
  • Explain in detail the reason for the difference in numbers for each of the metrics being measured

About the Webinar

As a Finance professional, you might have already seen how the marketing jargon of FinTech vendors constantly refers to the words “Automation” and “Artificial Intelligence (AI)”, hailing them as catalysts transforming the finance landscape for good.

Treasury is no stranger to this marketing onslaught, with AI in Cash Forecasting being the most regularly talked about topic at conferences, online articles, webinars, and whitepapers. However, as a Treasury practitioner, how can you see through these marketing campaigns which use fancy use-cases to support their claims. The answer we believe, lies in facts – facts where these qualitative benefits claimed in theory are put to test in a real-world cash forecasting exercise and validated through a quantifiable improvement in metrics familiar to treasury practitioners.

Join this 30-min webinar where experienced Treasury practitioner and AI-technology expert, Tracey Ferguson Knight will do a comparison between excel and an AI- based cash forecasting process.




About HighRadius

HighRadius’ Award-winning AI-enabled solutions power 200+ Fortune 1000 companies to optimize their Order-to-Cash and Treasury Process. HighRadius’ Autonomous Systems, comprising of Integrated ReceivablesTM , Cash Forecasting Cloud, RivanaTM and FreedaTM , use AI-powered technology and digital assistants to improve Receivables and Treasury processes beyond best-in-class industry benchmarks.

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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.