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Description

The rise of e-commerce has led to an abundance of data generated by online shopping activities. Predictive analysis, which utilizes data mining and machine learning techniques, can help businesses analyze and interpret this data to make informed decisions. This research paper explores the application of predictive analysis in e-commerce websites and its potential impact on improving customer experience, increasing sales, and enhancing business performance.The growth of e-commerce has led to the emergence of centralized and decentralized online booking systems that enable customers to purchase products through a single platform or multiple platforms, respectively. However, the impact of these booking systems on customer repurchase behavior and product attributes has not been extensively studied.