Sales Predictor Using Simple Linear Regression and Simple Moving Average Model

Abstract

Abstract: In the rapidly evolving business landscape, the accurate prediction of sales trends holds paramount importance for informed decision-making. Our project deals with the application of two fundamental forecasting models: SLR and SMA Models to predict future sales trajectories. The Simple Linear Average model involves the computation of a basic mean sales value, while the Simple Moving Average model incorporates a rolling average over a predefined time span. Upon successful training of the model, the model can predict the sales of the particular product with accuracy above 90%