Foreseeing the Behavioral Patterns of Bank Customers for Recognizing the Right Time to Deliver Recommended Services

Offering a suitable recommended service to a customer is one of the most important issues in banks. On the other side, recognizing the right time to recommend the right service is the focus of many researchers. Recognizing the right time to recommend the right service is of great importance to Planners because of two reasons: the efficiency of recommendations (customer acceptance) and efficiency (using the resources properly). In this research it has been tried to recognize the right time to recommend services that are interesting to customers with the use of data that has been gathered from customer's financial transactions. In this research, the results from predicting customer's future transactions (Positive trend, negative trend and change of behavioral patterns) which were predicted through perceptron neural network, were used for recognizing the right time to recommend services to customers. These services were chosen according to customer's interests and the results of predicting customer's behavioral patterns.