
Financial leaders stated cash forecasting inaccuracy as the greatest hurdle. Learn how automation helps in generating highly accurate forecasts and what additional challenges it can overcome.
The hurdles encountered by the treasury team while forecasting A/R are:
Adding relevant variables in cash flow forecasting improves the accuracy by a large margin. But, adding more variables increases the complexity. This makes it challenging to forecast A/R using spreadsheets due to human errors and consolidating data manually. However, the challenges due to spreadsheet-based forecasting are overcome by automated forecasting. With Artificial Intelligence, more variables can be added for greater forecast accuracy and help analysts shift from menial tasks to strategic tasks such as decision-making and reporting.
Artificial intelligence provides the following benefits in cash forecasting:
But, it is crucial to understand which models should be used for the various operating and non-operating expenses. For instance, Heuristic models are used for payroll, expenses, CAPEX, investment & debt, etc, whereas AI models are used for forecasting unpredictable factors like A/R and A/P.
With the help of AI, forecasts can be rolled up from regional to a global level for various entities, company codes, categories, subcategories, etc.
Automation is key to generating forecasts frequently to understand daily cash positions and taking proactive measures for future financial positions. Here are the following areas where automation helps you reap benefits:
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The HighRadius™ Treasury Management Applications consist of AI-powered Cash Forecasting Cloud and Cash Management Cloud designed to support treasury teams from companies of all sizes and industries. Delivered as SaaS, our solutions seamlessly integrate with multiple systems including ERPs, TMS, accounting systems, and banks using sFTP or API. They help treasuries around the world achieve end-to-end automation in their forecasting and cash management processes to deliver accurate and insightful results with lesser manual effort.