A Predictive Analysis of the Organized Retail Market in India Using Holt-Winter Exponential Smoothing Technique

The study aims to predict the size of the Indian organized retail market for future years. Most previous studies provided descriptive insights into the development of the organized retail industry without specifying any forecasting methods and approaches used in their predictions. This study attempts to employ the Holt-Winter exponential smoothing method for analyzing the Indian organized retail sector, a novel approach in this domain. The investigation began with a sales forecast for the preceding twenty-one years of data using different combinations of α and β coefficients. The best model was selected based on the α and β values that yielded the minimum statistical errors, as measured by MAD, MAPE, and MSE. The forecast results indicate a projected CAGR of 13.23% for the Indian organized retail market size over the next six years. The findings will provide retail marketers the latest market trends to inform sound business planning.

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Publication Details

Journal
International Journal of Management and Development Studies
Published
2024-11-23
DOI
https://doi.org/10.53983/ijmds.v13n11.001
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

A Predictive Analysis of the Organized Retail Market in India Using Holt-Winter Exponential Smoothing Technique

Kalipada Senapati
International Journal of Management and Development Studies
Forecasting Techniques and Applications
article

A Predictive Analysis of the Organized Retail Market in India Using Holt-Winter Exponential Smoothing Technique

Kalipada Senapati
article en

Abstract

The study aims to predict the size of the Indian organized retail market for future years. Most previous studies provided descriptive insights into the development of the organized retail industry without specifying any forecasting methods and approaches used in their predictions. This study attempts to employ the Holt-Winter exponential smoothing method for analyzing the Indian organized retail sector, a novel approach in this domain. The investigation began with a sales forecast for the preceding twenty-one years of data using different combinations of α and β coefficients. The best model was selected based on the α and β values that yielded the minimum statistical errors, as measured by MAD, MAPE, and MSE. The forecast results indicate a projected CAGR of 13.23% for the Indian organized retail market size over the next six years. The findings will provide retail marketers the latest market trends to inform sound business planning.

International Journal of Management and Development StudiesVol. 13(11)
Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Forecasting Techniques and Applications
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