Harnessing Artificial Intelligence to Tackle Market Uncertainty in Marketing, Managerial Decision-Making, and Engineering Systems

The application of artificial intelligence (AI) for handling market uncertainty attracted a large interest in revolutionizing strategic operations in marketing, managerial decision-making, and engineering systems. This article explores how an AI-powered approach to forecasting, scenario modeling and real-time optimization enables organizations to thrive in an uncertain environment. Applying techniques of Reinforcement Learning for dynamic decision-making, Time Series Forecasting and optimization under uncertainty, the research shows significant progress in various domains. It was observed that the LSTM-based predictions improved prediction in diverse markets by 12-18% over traditional models, with an overall accuracy approaching 89%. Decision latency was decreased from 2.6 min to 1.1 min with the introduction of AI by 58%. In addition, the median increase in ROI from AI-driven marketing initiatives was 14%, demonstrating financial rewards. By incorporating Genetic Algorithms an increase of 22 % system response time was achieved and showed operational effectiveness. These findings illustrate AI's powerful contributions to building resilience in a world of market unpredictability, and future strategic AI adopters will find this study an insightful guide on the terrain.