Utilising modern technology like Artificial Intelligence and Machine Learning solutions in their Rolling Forecasts has enabled large, multinational companies to achieve real-time, continuous forecasts with 90% accuracy and in some cases, even higher. 

The CFO at Swiss Railway Freight Logistics (SBB Cargo AG) shares how his own company successfully implemented this agile alternative to traditional budgeting

Traditional legacy and static methods are no longer sufficient for budgeting, planning, and forecasting. To help navigate this challenge, we must turn to Scenario Planning and Rolling Forecasts to guide us. 

The economic volatility of 2020 has revealed the shortcomings of the traditional FP&A process and the pressing need for transformation. For budgeting, planning, and forecasting in particular, conventional methods are no longer sufficient This is where Scenario Planning and Rolling Forecasts can help guide us. 

Rolling Forecasting is an essential tool in this radical transformation. An effective Rolling Forecast expands planning horizons, reduces FP&A cycles, and helps in the execution of organisational strategies. But Rolling Forecasting must be implemented carefully, otherwise it risks becoming just another non-value added activity.

The Digital Pan-Australian FP&A Board will be held on the 26th of October at 4:30 PM AEDT to discuss how to manage risks and opportunities of Rolling Forecast and Scenario Planning.