CUSTOMER WEBSITE BEHAVIOUR

This project focuses on analyzing customer behavior on the Wolf & Badger e-commerce platform by applying data analytics and machine learning techniques. The goal is to gain actionable insights that will drive informed business decisions, enhance marketing strategies, and improve cross-category promotions. By using tools like Random Forest models, association rule mining, and A/B testing, the project aims to understand customer demographics, shopping behaviors, and website performance.

The ultimate objective is to optimize customer engagement, improve sales strategies, and refine website features for better user experiences, ultimately supporting long-term growth and operational efficiency.