Empowering customers to purchase insurance portfolios based on artificial intelligence

The main goal of this research is to design a model for empowering customers to purchase insurance portfolios based on artificial intelligence. The research method used is objective, applied, and descriptive-survey in terms of the method of collecting field data and in terms of the control of variables, and also because of the presentation of the model, it is an exploratory research. In this research, the insurance assets purchased by insurers in the insurance industry were first identified by reviewing previous researches. In the second step, by using the Delphi method, the determination and weighting of insurance assets in the portfolios of insurers was discussed with the help of experts in the field. In the following, according to the available documents and information collected using artificial neural network, a suitable model was designed for the purchase of insurers' portfolios in the insurance industry. The findings showed that the amount of sales of cooperative insurance customers, as well as the highest sales amount and at what point of time. Also, it is possible to identify the best-selling and profitable products and the customers from whom the most profits of the cooperative insurance customers have been obtained, and apply the necessary policies in the desired cooperative insurance .