Advances in Consumer Research
Issue 6 : 343-348
Original Article
Predictive Analysis of Determinants impacting Buying Intentions of Groceries using Mobile-Commerce
 ,
1
Research Scholar, Shri Ramdeobaba College of Engineering and Management, Nagpur, India
2
Assitant Professor, Shri Ramdeobaba College of Engineering and Management, Nagpur, India
Abstract

The Mobile-Commerce industry experienced a momentous shift resulting in to proliferation of data and predictive analytics. Predictive analysis plays a crucial role in forecasting changes and understanding consumer preferences, which in turn aids in analyzing consumers’ purchasing power. Predictive analysis is a process of assessing historical data, statistical models, and machine learning techniques to predict the future trends. Predictive analytics processes large datasets, consumer sentiment data, and demographic information to support future demand forecasting and strategic decision-making. The objective of the research is to develop a comprehensive statistical regression model to analyze the obtained data in order to foresee consumer preferences, behavioral buying pattern, enabling businesses to tailor improved customer satisfaction, strengthening competitive positioning

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