This paper has discussed psychological, social and personal pressures that triggered the decision and buying behavior. The sales patterns in which such patterns are identified are expounded in the proposed work, as well. The businesses and the institutions would be more willing to develop the cutthroat tactics that ease the more perforation and devotion. Some of the most vital researches include the development of the different forms of buying behavior (complex, dissonance-reducing, habitual, variety-seeking), the study of the buyer decision making process, and planning of having the assurance of the businesses marketing activities in developing a superior retail experience. It gives a descriptive and detailed analysis of the Amazon Sales data where advanced means of analysis is performed through R programming language. By this we mean to unearth the esoteric tendencies and tendencies in the information of the e-commerce sale that can prove invaluable to sellers and the stakeholder. These are the data preprocessing, the exploratory data (EDA) analysis, consumer and behavior analysis and the market dynamics analysis and, perhaps, predictive modeling. The dissection type of analysis of sales trends, products that sell well and competitiveness in the market place help in the identification of forces that characterize the market place in Amazon up. This study seeks to provide the e-commerce practitioners with practical information on how to maximize sales operations and improve competitiveness in the online retail market through rigorous statistical analysis and illustrations.