Optimizing Product Pricing Models through Data Analytics

Samson Electronics seeks to enhance its product pricing models using advanced data analytics techniques. The current pricing strategy lacks the precision needed to maximize profitability and market competitiveness. This project aims to leverage historical sales data, market trends, and consumer behavior analytics to develop a more dynamic and responsive pricing model. Students will apply their knowledge of data analysis, statistical modeling, and machine learning to identify key pricing factors and predict optimal price points. The project will involve cleaning and processing datasets, conducting exploratory data analysis, and building predictive models. The ultimate goal is to provide Samson Electronics with actionable insights that can be integrated into their pricing strategy to improve revenue and customer satisfaction.