An Intelligent Sales Management System Based on Internet of Things and Bayesian Network

Abstract

There is no doubt that the lifestyle of human beings has undergone many changes due to the progress of science and human knowledge. Due to this change, new technologies are introduced to the market every day that can play an essential role in the development of human life and culture. In today's society, due to the increasing tendency to buy from commercial complexes that can meet all the needs of the buyer in a limited time, we are witnessing the increasing construction of modern commercial complexes. Due to the breadth of services and the variety of commercial complexes, the need for an intelligent central control unit that takes control of all existing systems is essential. The Internet of Things (IoT) is one of the new technologies in the last decade that can play an important role in making business complexes smarter. How much of the customer has come to the store, how employees have been served and how customers have been buying are factors that can be analyzed to dramatically increase the revenue of stores and lead to customer satisfaction. There are many models in this field, one of which is the Bayesian network model. In this research, using this model, based on customers 'interests and preferences and purchase patterns, we identify customers' needs and provide the desired product to them. After implementing this model, it is expected to increase the potential sales in the store and increase the efficiency and speed of the store.