Sales Prediction For Food Products Using Machine Learning

Machine learning contain many algorithms to predict outcomes more accurately without having to be explicitly coded. By using machine learning algorithms, the prediction is done with the help of the parametric evaluation and conclusion matrix. Nowadays the competition among the supermarkets is increasing and the customer expectations are increasing. In this paper the overall sales is identified and with more accuracy and the other extra classification of the attributes are also predicted, then the prediction of the specific product also identified and location wise sales, supermarket sales and other categories for the more analysis of the sales is also predicted and in the overall sales which range the sales is high also predicted and the several algorithms like KNN algorithm, Naive Bayes algorithm, and Some algorithms are used for the prediction.