Revista da Academia de Estudos de Marketing

1528-2678

Abstrato

Price Forecasting of Sweet Lime using Arima Model for Better Marketing Decisions

Satyveer Singh Meena, Ragini Naikoti, Avadh Bihari Pal and Anand Kumar

This study focuses on the essential task of forecasting sweet lime prices in Telangana State, employing the ARIMA model to evaluate its efficacy and implications for marketing stakeholders. The significance of price predictions, especially for farmers making critical marketing decisions, underscores the practical value of this research. The data was collected from reliable government sources. The application of the ARIMA model using 'R' programming add methodological rigor to the study. The ARIMA (1,1,0) was identified as the most accurate model based on the lowest AIC which enhances the practical utility of the findings. This study succinctly encapsulates the core objective, methods, and key outcomes, offering a comprehensive overview in the intersection of agricultural pricing, forecasting, decision-making and optimizing market efficiency across diverse agricultural sectors in the context of sweet lime in Telangana.

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