This literature review explores the application of data mining techniques in developing an intelligent e-order framework for e-commerce practices. It examines various research papers focusing on data mining, artificial intelligence, and customer segmentation in the context of e-commerce. The review analyzes the strengths and limitations of existing solutions, highlighting their potential benefits and challenges for building an efficient and intelligent e-order system. The review also discusses the importance of data quality, pattern recognition, and user preference modeling in creating a robust e-order framework. By analyzing these research findings, this literature review aims to provide insights into the key considerations and potential approaches for developing an intelligent e-order framework that can enhance e-commerce operations and customer satisfaction.
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