The Role of Machine Learning Analysis and Metrics in Retailing Industry by using Progressive Analysis Pattern Technique

Analyzing customer purchasing data has been a challenging task for data analyzers. Even though lots of methods are introduced in this kind of research but still many barriers are there to finding the optimal pattern. Consider customer buying data is used to examine the types of parameters which is influence the customer. In this proposed work, Progressive Analysis Pattern Technique (PAPT) to predict future customer buying patterns in online shopping. We incorporated dynamic data handling prior to the proposed methodology. It will give ample purpose for the organization's perspective because the proposed work primarily focused on customer features related to the number of product quantities and product price variations of the previous purchase. Marketing strategies are most effective if they are focused to the exact client requirements. A Significant mission in campaign planning is deciding which customer to target. This research paper focusses on empirical targeting models.