In collaboration with DKomplex, our project focused on developing a machine learning-based predictive pricing model for a client's bidding process. Using historical sales records, win/loss histories, economic data, and margin data, the model will dynamically recommend prices to maximize win rates and profitability aiming to determine the feasibility, validating predictive accuracy, and establishing a foundation for future growth.