Published on: April 2026
A COMPARATIVE STUDY OF AI-BASED AND TRADITIONAL DEMAND FORECASTING TECHNIQUES
ISHU RAJPUT SHYAM DUBEY SIDDHANT MISHRA
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Abstract
One of the most significant managerial functions in the contemporary business is the demand forecasting as it facilitates the planning of production, purchasing, inventory management, budgeting, and customer services. Forecasting also helps organizations to predict the future levels of customer demand and match the resources of the business with them. Historically, the moving averages, regression, and time-series analysis have been the traditional forecasting techniques used by businesses. Nevertheless, the unpredictable and volatile nature of the market, customer preferences, fast-changing digital commerce, and seasonality as well as promotions have complicated the forecasting process.
How to Cite this Paper
RAJPUT, I., DUBEY, S. & MISHRA, S. (2026). A Comparative Study of AI-Based and Traditional Demand Forecasting Techniques. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.294
RAJPUT, ISHU, et al.. "A Comparative Study of AI-Based and Traditional Demand Forecasting Techniques." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.294.
RAJPUT, ISHU,SHYAM DUBEY, and SIDDHANT MISHRA. "A Comparative Study of AI-Based and Traditional Demand Forecasting Techniques." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.294.
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References
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- •Published on: Apr 25 2026
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