Ai in Business Forecasting: Driving Long-Term Decision Success

Authors

  • Shukurov Sanjar Baxodirovich “International School of Finance Technology and Science” Institute Business Administration Department

Keywords:

Artificial Intelligence, business forecasting, predictive analytics

Abstract

Artificial Intelligence (AI) is transforming the field of business forecasting by providing companies with advanced tools to enhance predictive accuracy, optimize decision-making, and drive long-term success. Traditional forecasting methods, often reliant on historical data and manual analysis, are being replaced by AI's capacity to process vast amounts of data in real-time, identify patterns, and predict future outcomes. This study explores the impact of AI on various aspects of business forecasting, including demand prediction, financial planning, risk management, and workforce optimization. The findings demonstrate that AI-driven forecasting enables businesses to make more informed, data-driven decisions, anticipate market shifts, and navigate uncertainties with greater precision. However, challenges such as data quality, ethical considerations, and the seamless integration of AI into existing systems must be addressed to fully realize its potential. As AI continues to evolve, its role in shaping the future of business forecasting will expand, offering organizations new ways to enhance their competitive advantage and ensure sustainable growth.

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Published

2025-06-17

How to Cite

Baxodirovich, S. S. (2025). Ai in Business Forecasting: Driving Long-Term Decision Success. American Journal of Business Practice, 2(6), 121–129. Retrieved from https://semantjournals.org/index.php/AJBP/article/view/2020

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