To get started, benchmark your current Operational Expenditures (OPEX) and set a target goal of the savings you’ll realize with a solution.
Follow this 4-Step, Adjusted Value Stream Analysis Best Practice Process
The cash forecasting process tasks vary between companies. In general, they depend on the
size of the company and the organizational structure of the finance department.
Review the current process and identify how many hours per week on average your team
spends on each task. This gives you the total FTEs your team expends on forecasting cash over a given period.
A Sample hourly breakdown of tasks and average hour savings with automation is shown below:
To calculate OPEX savings multiply the hours saved per week by the loaded labor costs.
With accurate cash forecasting powered by AI, companies can reduce variance significantly and earn interest by investing proactively.
With reduced variance in forecasts, companies don’t need to borrow as much from external sources and hence, don’t have to pay interest associated with borrowing.
As per these calculations, automating cash forecasting with Artificial Intelligence can influence the bottom-line significantly.
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.