AI Forecasting

AI forecasting is the use of artificial intelligence across the forecasting process to produce and update forecasts of revenue, expenses, cash flow, and demand. Statistical and machine learning models read historical and current data, such as actuals, pipeline, drivers, and external signals, to generate a baseline forecast. The forecast then updates as new actuals arrive.

The term covers predictive forecasting techniques and the machine learning in FP&A behind them. It also includes AI that explains variances and agents that run recurring forecast cycles. Basic automation is different: it speeds up existing tasks but doesn't generate the forecast.

For business planning, AI gives you a data-driven baseline across many SKUs, entities, or cost centers at once. That scale keeps rolling forecasts manageable every period. It works best with clean data, clear drivers, and planners who review the output, add business context, and track forecast accuracy.