Product Price Prediction Using Ensemble Learning Techniques

This study explores the various methods for predicting product prices utilizing past information on attributes, sales trends, and market trends. The suggested methodology may identify patterns and generate accurate price forecasts for new products by examining big datasets that include details about pricing trends, consumer behavior, and comparable products. The objective is to develop a precise system that can predict prices accurately even when the market changes. This will assist businesses in determining fair prices so they may increase revenue and satisfy clients. Many industries stand to gain from the research since it will enable them to use technology to make more informed pricing decisions.