Investigating the Internet of Things in the analysis of consumer behavior in emotional purchases using artificial intelligence

With the expansion of the use of the Internet of Things and its role in the cheaper and faster use of physical and digital sensors and the possibility of collecting data on a large scale, the use of these tools in marketing is becoming more and more ready and the study of the emotional behavior of buyers is becoming more widespread. Artificial intelligence and machine learning as a processor of collected data can help us in analyzing consumer behavior, especially in emotional purchases that have a wider complexity. This article was written with the aim of finding a model for using the Internet of Things and artificial intelligence in the analysis of emotional purchases. This article was written as a systematic review of SLR and by examining review articles in the three dimensions of Internet of Things, artificial intelligence and emotional purchases from 2020 onwards. Finally, the model proposed by the researchers has been presented.