Development of Artificial Intelligence Model for AI-Empowered Brand Positioning With Tracking the Customer Satisfaction to Achieve Management 5.0

It is important for private and government companies to know the consumer satisfaction level for a particular company's services. Consumer satisfaction has a direct impact on brand positioning. Traditionally, consumer satisfaction is analyzed by several complaints registered two decades ago. For a decade, customer surveys were used to analyze consumer satisfaction. These traditional ways sometimes fail to get genuine results. Automation is expected to produce efficiency progression; however, it constantly fails to lead to superior consumer satisfaction levels. So, production platforms and operations administration literature have, up to now, considered a service provider point of view, but certainly not a more alternative perception pondering also the consumer. Hence, with the use of the psycho graphic profile of a consumer, a new data set is developed; this paper presents the new artificial intelligence model to facilitate AI-empowered techno-managerial operations, which can achieve the Management 5.0 model. The proposed research results show that with the inclusion of text-pattern classification, this AI-empowered model can help brand positioning by identifying the consumer satisfaction level using a new machine learning algorithm named 'ConsumerML.'Accordingly, service level support can also be enhanced. The model achieves 96.241% accuracy for identifying phase frequency and rare phrase frequency, and so the percentage of consumer satisfaction.