SMART E-COMMERCE ANALYTICS SYSTEM | IJCT Volume 13 – Issue 3 | IJCT-V13I3P75
International Journal of Computer Techniques
ISSN 2394-2231
Author
Pathakunta Dedhan Reddy, Poli varun kumar Reddy, Paritala Venkata Mokshagna, Ms.R.Vasuki
Abstract
The Smart E-Commerce Analytics System is designed to analyze and interpret large volumes of data generated by online shopping platforms. With the rapid growth of e-commerce, businesses collect extensive information related to customer behavior, product performance, and sales transactions. However, transforming this raw data into meaningful insights remains a challenge. The proposed system aims to provide an intelligent analytics platform that helps businesses understand customer preferences, monitor sales patterns, and improve decision-making through data-driven insights.
The system collects and processes data such as purchase history, product demand, customer interactions, and transaction records. By applying data analytics techniques, the platform generates useful reports including sales trends, product performance analysis, and customer segmentation. These insights help business administrators identify popular products, predict future demand, and design better marketing strategies. The system also provides visualization tools such as dashboards and charts to present complex data in a simple and understandable format.
Keywords
E-Commerce Analytics, Data Analysis, Customer Behaviour Analysis, Sales Trend Analysis, Business Intelligence, Data Visualization, Predictive Analytics, Web-Based System, Online Retail Management.
Conclusion
The Smart E-Commerce Analytics System is designed to improve the efficiency and effectiveness of online retail platforms by transforming large volumes of e-commerce data into meaningful insights. The system analyses important information such as customer purchasing patterns, product performance, and sales trends to support better business decision-making. By integrating data analytics techniques with modern web technologies, the system enables businesses to monitor their performance and understand customer behaviour more effectively.
References
[1]Shahriar Akter and Samuel Fosso Wamba, “Big Data Analytics in E-Commerce: A Systematic Review and Agenda for Future Research,” Electronic Markets Journal, 2016
[2] Jogannagari Malla Reddy and S. V. A. V. Prasad, “The Role of Business Analytics in E-Commerce,” Journal of Interdisciplinary Research, 2021.
[3] Vishal Sresth et al., “Predictive Analytics in E-Commerce: AI-Driven Insights for Market Trends and Consumer Behavior,” International Journal of AI, Big Data, Computational and Management Studies, 2021
[4] Andik Adi Putra Riwayat et al., “Purchasing Patterns Analysis in E-commerce: A Big Data-Driven Approach,” International Journal of Software Engineering and Computer Science, 2024.
Sivakumar T., “Impact of Data Analytics on E-Commerce Platforms: Opportunities and Challenges,” 2025.
How to Cite This Paper
Pathakunta Dedhan Reddy, Poli varun kumar Reddy, Paritala Venkata Mokshagna, Ms.R.Vasuki (2026). SMART E-COMMERCE ANALYTICS SYSTEM. International Journal of Computer Techniques, 13(3). ISSN: 2394-2231.
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