Packaged food products are the final product items that consumers regularly purchase and have to be replenished or replaced. Classification of packaged food products has been essential for industries since the origin of these packaged food products to decide the class of a particular product according to its size, shape, price, quality, etc. To improve the efficiency and effectiveness of packaged product processing, industries are investing heavily in the automation of the entire process from production to distribution. For automation purposes, packaged product classification through machine learning plays a significant role to classify the products using various techniques like CNN, KNN, and SVM. This paper present a comprehensive review of machine classification of packaged food products at various stages of their life cycle such as manufacturing, packaging, and distribution. The purpose of the review is to demonstrate the applicability of machine learning based classification to find out which approach and technique are efficiently working and also application areas still uncovered in the relevant field.