Sales Trend Analysis and Demand Forecasting of Vasantham Fish Nets

Abstract

The aim of the present study is to analyze the sale trend and forecast the demand of fish nets produced/manufactured by the Vasantham Industrial Centre, Konam, Nagercoil. Secondary data has been used to gather the research for 5 years (2019-20 to 2023-24) from sales records of the company. The goal of the study is to analyze the sales performance metrics, understand the seasonal demand, and predict the future demand through predictive analytics techniques. Various analytical techniques have been used, such as quarterly trend analysis, descriptive statistics, seasonal index, moving average and linear regression. The results suggest that seasonal fishing, market demand and other factors like the COVID-19 pandemic affect the performance in sales. Sales have been volatile in the short term but have been on an increasing trend over the long run. A method of seasonal decomposition is used to forecast future sales. The study indicates that forecasting is beneficial to production planning, inventory management and decision making. The study demonstrates that predictive analytics can have a meaningful impact on improving operational efficiency and aiding sustainable business growth.