Influence of Factors on Clothing Sales and its Future Trend

Avoni Amarnath Gharde

Abstract


Forecasting is crucial for many industries. Sales forecasting for retail is critical to understand the volatile product demand and supply chain lifecycle. This paper is a study conducted on clothing store sales with data of previous 20 years. Variables such as GDP, GDP per capita, population, marriage rates and their effect on clothing store sales were studied. Regression analysis, ARIMA model for time series analysis with JMP software were used to forecast sales for the next 20 and 50 years.
Keywords: Sales forecasting, clothing stores, Regression analysis, ARIMA

Full Text: PDF

Archived Volumes 1-5