Influence of Factors on Clothing Sales and its Future Trend

Authors

  • Avoni Amarnath Gharde North Carolina State University

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

Author Biography

  • Avoni Amarnath Gharde, North Carolina State University
    Doctoral candidate in Textile Technology Management, co-major in Fiber & Polymer Science at College of Textiles, North Carolina State University. Completed B.Tech.in Fibres and Textiles Processing Technology from Institute of Chemical Technology, Mumbai (INDIA)

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Published

2016-11-02

Issue

Vol. 10 No. 2 (2016)

Section

Graduate Research Articles

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