Ensemble Machine Learning Models to Forecast Sales

As the impact of the Internet on daily life grows, digital platforms are developing more quickly than in the past, and their user bases and revenue are expanding quickly. Strong national policy support has produced and will continue to produce a superb environment for the growth of the digital business in recent years and the years to come. Recent year’s epidemic has made the digital sector’s contribution to the growth of the country’s economy more noticeable. As a result of this situation, online businesses and digital marketing platforms are growing rapidly in both quality and quantity which in turn has increased the competition. A platform must be able to better understand and meet the user’s needs and perform well in all areas of management if it wants to maintain its advantage over its competitors. Accurately predicting the sales of all businesses at this time is crucial. There is currently a lot of research on predicting a company’s sales, but this study is looking into a prediction model that would be more accurate than the ones that are being utilized right now. This research study assesses several machine learning models and discover that while training many models on a predictive basis, the model performance has been improved.