Factors Affecting the Sales Volume Of Class B Paint, J Company Limited

Abstract

          The objective of this empirical research is to study factors affecting sales volume to use as a forecasting guideline for determining appropriate inventory levels. By using monthly time series data from January 2019 to December 2023, a total of 60 months and utilize quantitative analysis to find the models to explain sales by using the three-stage least squares method (3SLS). A system of related equations that consists of a Class B products sale and a new company registration model to show the relationship between economic factors that directly affect the sales of the businesses studied both ways. Results of the study 1) Factors affecting sales of Class B products at the statistical significance level of 0.10 include the Private Investment Index, New Company Registration 2) Factors affecting the model of quantity of New Company Registration at a statistical significance level of 0.10 include Business Sentiment Index, Exchange rate baht/dollar, Minimum Loan Rate and season (Q1). The estimated model can be applied to forecast Class B sales, which will be used as data for planning plan for ordering and storing raw materials to ensure efficient management. Moreover, the econometric model presented in this study can serve as an alternative for forecasting other types of commodities and products.