A STUDY ON SALES PREDICTION ANALYSIS OF YAMAHA MT15 BIKES AT MS SUNNY MOTORS ANANTAPUR

Based on the analysis, Yamaha MT15 bike sales demonstrate a statistically significant upward trend from 2023 to 2025, supported by consistent increases in annual sales and strong seasonal demand patterns. The data indicates clear cyclical fluctuations with peak sales during mid-year and major festival months, while lower-demand months remain relatively stable. Forecast results using the Linear Regression and SARIMA models project continued growth through 2026–2027, with monthly peaks expected to approach 40 units. Overall, the statistical evidence suggests sustained market demand, reliable seasonal behaviour, and a highly optimistic long-term growth outlook for Yamaha MT15 bikes at MS Sunny Motors, Anantapur.

•  B. Priya Sharma (2023): Analysis of sales prediction of motorcycles in selected bike companies — Hero, Honda, and Yamaha — using statistical forecasting models and regression analysis over a four-year period. •  K. Sai Teja (2024): A study on sales forecasting of Yamaha bikes in urban markets using time series analysis, focusing on seasonal demand patterns and market trends. •  Kaastra, I. et al. (1996): Designing a neural network for forecasting financial and economic time series. Neurocomputing. •  Kuo, R.J. (2001): A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm. European Journal of Operational Research. •  Zhang, G. et al. (1998): Forecasting with artificial neural networks: The state of the art. International Journal of Forecasting. •  Ansuj, A.P. et al. (1996): Sales forecasting using time series and neural networks. Computers and Industrial Engineering.