Generative AI-based predictive analytics as a strategic planning tool in the U.S. B2B sector

This article examines the application of predictive analytics based on generative artificial intelligence as a tool for strategic planning in the business-to-business sector of the USA.It explores how modern architectures enable the analysis of structured and unstructured data, generating scenario forecasts and personalized managerial recommendations.The evolution of forecasting methods is analyzed, from classical statistical models and machine learning algorithms to cognitive systems capable of generating strategic scenarios.Particular attention is paid to the advantages of generative analytics under conditions of high uncertainty and complexity of business processes.Practical application cases are presented, and potential limitations related to interpretability, ethics, and data security are considered.