Enhancing Search Functionality-based Customer Analysis Expending Big Data in E-commerce

Abstract

Customer behavior analytics has been included in many systems, but the field is still young and undeveloped, with much room for improvement. Big data is one of the newest and most promising technological breakthroughs. It can fundamentally alter how businesses analyze and turn consumer behavior into insightful knowledge. It is possible to analyze data effectively even using decision trees. This research attempts to investigate the benefits of implementing BDA in e-commerce to vendors and customers based on the significance of big data analysis and its advantages to e-commerce operations. By enhancing client loyalty, BDA gives electronic sellers, or "E-vendors," the competitive edge they need to comprehend consumer behavior and boost revenue. Additionally, recommendation systems built on BDA personalize users' search and buying experiences. Nevertheless, there are drawbacks to using BDA in e-commerce, namely the development of a shopping addiction. In addition, orientations that leverage BDA and the application of quantum computing to address current e-commerce issues are investigated to improve the evidence for decision-making that may prove useful in subsequent studies.