چکیده مقاله
In the digital age, e commerce has become one of the most significant methods of buying and selling Analyzing customer purchasing behavior on these platforms is crucial, as it helps businesses better understand customer needs, provide personalized recommendations, and optimize their marketing strategies This study, using a review based approach, examines customer purchasing behavior analysis in e commerce platforms through data mining techniques The findings indicate that data mining not only increases conversion rates and customer satisfaction but also aids in predicting future customer needs Additionally, challenges such as data privacy concerns, data complexity, and the requirement for robust processing infrastructure are key obstacles to implementing these analyses in e commerce platforms Finally, it is recommended that businesses leverage emerging technologies such as artificial intelligence, the Internet of Things, and big data analytics to optimize marketing processes and enhance customer personalization
کلیدواژهها
نویسندگان
Sara Javaheri Haghighi
California State University at San Bernardino Department of Cyber and Decision Science
شیوه ارجاع
Javaheri Haghighi, Sara,1404,A Review of Customer Purchasing Behavior Analysis in E-Commerce Platforms Using Data Mining Techniques,10th International Conference on New ideas in Management, Economics, Accounting and banking
ارائهشده در
مجموعه مقالات دهمین کنفرانس بین المللی ایده های نوین در مدیریت، اقتصاد، حسابداری و بانکداری30 مرداد 1404