A STUDY ON ANALYSIS OF SALES FORECASTING OF MANUFACTURING INDUSTRY

Author(s)	NAVEEN DEVIRA V M, SATHEESH KUMAR S
Country	India
Abstract	This research explores the strategic implementation of predictive analytics to enhance sales forecasting, inventory management, and production planning. Historical sales data were analyzed using methods like exponential smoothing and ARIMA, with ARIMA (1,1,0) emerging as the most effective model. The analysis revealed seasonal demand fluctuations, peaking in May and dropping in December. Predictive analytics significantly boosts operational efficiency but faces challenges such as data inconsistencies and market volatility. Recommendations include improving data collection, integrating external variables, and staff training. These steps support better decision-making and adaptability. The study offers a model for other mid-sized manufacturers.
Field	Business Administration
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-16
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.44745
Short DOI	https://doi.org/g9kftm

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International Journal For Multidisciplinary Research