AI Forecasting in FP&A: How to Predict Cash Flow, Revenue, and Cost Drivers with ML
AI Forecasting in FP&A: How to Predict Cash Flow, Revenue, and Cost Drivers with ML: Step into the future of finance. Predict more. React less. by Hayden Van Der Post, Johann Strauss, Danny Munrow
English | May 2, 2025 | ISBN: N/A | ASIN: B0F7FYRXRX | 574 pages | EPUB | 0.73 Mb
English | May 2, 2025 | ISBN: N/A | ASIN: B0F7FYRXRX | 574 pages | EPUB | 0.73 Mb
Reactive Publishing
In an era defined by rapid change and data overload, traditional forecasting methods no longer cut it. AI Forecasting in FP&A arms finance professionals, analysts, and CFOs with the tools to evolve—from reactive number crunchers to strategic AI-powered decision-makers.
Written by financial strategist Hayden Van Der Post, this hands-on guide demystifies how machine learning can transform financial planning and analysis. You’ll discover practical techniques to forecast cash flow, model revenue with precision, and decode cost behavior using real-world data and Python-based ML tools.
Inside you’ll learn:
- How to build dynamic, self-improving forecasting models with supervised learning
- Techniques to model seasonal, cyclical, and irregular financial patterns
- Tools to integrate external drivers (macroeconomic data, customer trends, etc.) into forecasts
- Methods to reduce bias, improve accuracy, and justify model predictions in executive settings
- How to move from static spreadsheets to scalable, automated forecasting systems
Step into the future of finance. Predict more. React less.