in this scenario recommender systems are a great way to promote new business and get more customers for the relevant products and servicesAnd thereby increase the business. However, it is crucial to be able to predict what a customer would like andneed based on the products he has purchased or he is interested in. In order to achieve this the machine learning model would have to accomplish various tasks such as word segmentation, stop-words, extraction of features and finding similar products other users have purchased etc.