Sales-Demand Forecasting using Machine Learning

Abstract—Sales-Demand Forecasting uses machine learning model to forecast demand of a product and top products in demand . Sales forecasting can be extended as a service to small/medium sized businesses to predict the demand of various items.In sales forecasting specifically machine learning algorithm can help business predict how consumers will behave by using data from past transactions and demographic informations. Machine learning allows businesses to create more advanced forecasting models that utilizes a larger datasets with minimal human effort. Machine learning uses various methods including regressions and clustering, to analyze millions of data points before making predictions. I used Machine learning technique Decision Tree Regression in demand forecasting by capturing the complex relationships between demand and various factors that influence it. After making a dataset and applying appropriate algorithm , and then results are compared and accuracy of algorithms is determined. This helps to estimate accurate product in demand