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.
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.
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.