Analysis of Customer Satisfaction for FMCG Products Applying Clustering Analysis

The growth of the business-to-customer (B2C) markets has led to numerous studies on creating and enhancing customer retention and profit enhancement. This's primarily due to the retail business increasingly becoming competitive with prices getting pushed down by innovative and existing competitors. Generally, consumer markets have a few qualities including repeat buying over the pertinent time interval, a lot of clients, in addition to insightful information detailing previous customer purchases. Mining on this information is able to assist to obtain useful insights about customer satisfaction and design advertising methods, to enhance the consumer satisfaction and also stay away from churn rate. In this particular work, job of data mining to improve the consumer satisfaction is investigated and also device is developed using clustering analysis to segment the clients and assess the satisfaction levels of theirs.