Analysis-of-Consumers-Online-Buying-Behavior

About

With the increasing popularity of online shopping, understanding consumer behavior is crucial for improving sales and customer satisfaction. This project proposes a system that leverages data mining techniques and machine learning algorithms to analyze online consumer behavior and predict their likelihood of reordering. By identifying factors that influence spending scores and predicting customer behavior, the system provides valuable insights that can help businesses enhance their online sales and customer satisfaction. Experimental results demonstrate the system's effectiveness in accurately predicting customer behavior and providing actionable insights.