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TECHNIQUES TO PREDICT AND IMPLEMENT AN AMORTIZED BILL PAYMENT SYSTEM

Abstract:

Various embodiments are generally directed to techniques utilizing computers to process service billing data, generate one or more groups of customers based on one or more attributes of the data, and train a recurrent neural network (RNN) to predict future bill amounts for customers. Embodiments further include techniques to predict the future bill amounts of the customers and providing an indication of the bill amounts to the customers.