5 Metrics To Understand The Excel vs AI Cash Forecasting Debate

Presented by

Tracey Ferguson Knight, Director Solution Engineering Treasury, HighRadius

About this talk

Key Takeaways: 1. Reveal the 5 key metrics one needs to monitor when measuring cash forecasting performance 2. Compares Excel-based forecasting with AI-powered one by quantifying the performance using these metrics 3. Explain in detail the reason for the difference in numbers for each of the metrics being measured 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.
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