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Machine Learning to predict invoice-level payment dates; rolling up to provide highly accurate receivables forecasts.
Machine Learning models study patterns in vendor payment history and open purchase orders, invoices for accurate payables forecasts.
For operating cash flow categories such as payroll and expense reimbursements, either a machine learning or a heuristic model is adopted based on the data set complexity.
Tax, investments, debt instruments and other non-operational segments can be automatically predicted based on historical inflows and outflows or can be manually configured by the user on a periodic basis.
Integration with Profit & Loss forecasts from Finance Planning & Analysis teams to fine-tune the accuracy of medium and long-term cash forecasts.
Closed-loop Machine Learning feedback system automatically reconfigures forecast models by comparing forecasting models versus actual cash positions to improve accuracy with time.