This capstone project focuses on optimizing ship-to frequency and creating insights into customer behavior to meet monthly sales quotas at Imperial Supplies. The project applies advanced data science techniques, including predictive analytics, time series forecasting, clustering, and classification modeling to improve sales performance and enhance customer retention. The goal is to provide actionable, data-driven strategies for quota achievement through historical data.