Vol. 8, Issue 8, Part B (2022)

Abstract
Many enterprises super markets and grocery stores have realized the need of applying new technological trends to identify loyal customers and satisfy their customers. The information regarding sales data, get stored into data warehouse and data mining techniques expose the customers internal insight to identifying customer’s buying patterns and trends for retaining, promote sales strategy and reduces profitable cost. Data mining is a set of automated techniques used to extract buried or previously unknown pieces of information from large databases, using different criteria, which makes it possible to discover patterns and relationships. Supermarket and grocery stores use data mining for performing analysis to discover patterns or correlations within the set of items and analyze customer's profile. Data mining techniques like clustering, classification can be used to identify customers based on loyalty to super market grocery stores. This paper illustrates the importance of the proposed data mining techniques for identifying loyal customers in grocery stores.