Ankita Vaswani, PGDM Scholar, Dr. Poorna Chandra Prasad, Associate Professor- Marketing, Dr. Prafulla Kumar Padhi, Assistant Professor- Marketing
Pune Institute of Business Management (PIBM), Gut No. 605/1, Lavasa Road, Pirangut, Mulsi, Paud Road, Pune-412115, India.
Time Series Analysis: An Application of SARIMA Model in General Trade to Forecast Sales
Authors
Abstract
General Trade is an essential piece of the FMCG business, as it assists with guaranteeing that
items are accessible to customers in an ideal and productive way. Time Series (SARIMA) model
is a significant model to help for forecasting the sales of Wholesale trade to Retail trade. To
study the SARIMA model Time Series Approach, which helps to forecast the sales of Wholesale
trade to Retail trade. A large data from a particular city to be prejudicated in the analysis of
ARIMA, SARIMA models to make the analysis accurate abide in similar research. 48 data and
132 data are fitted to different sales forecasting models, whereas the SARIMA model is found
best suitable model to forecast the sales forecasting of retail store sales by the wholesalers as
well as the retailers also. The future scope of study aligns with the quality-seasonal effect on
demand of retail trade.