This project is all about discovering how we can use data analytics and optimization methods to make products sold online more profitable. When it comes to setting prices and convincing customers to make a purchase, there are a lot of things to consider.

Our main aim is to select a product from a high-performing category and utilize data-driven pricing methods to optimize its sales margin. This process entails thorough data cleansing, in-depth exploratory data analysis (EDA), and the deployment of sophisticated analytical techniques.

Price optimization is about digging through past sales data to understand patterns and anomalies. This helps us figure out the best price that not only attracts customers but also maximizes profits for the company.

We’re using machine learning algorithms to sift through historical data, creating a demand curve that guides us to that perfect price point. Our main focus is on increasing sales while making sure profits are as high as possible.