The Future of Retail Pricing: AI-powered Optimization and Customization

Abstract

Determining the dynamic properties of objects is crucial in autonomous environments. Event cameras that can move freely are used in outdoor security systems. Frames are not static, though, because to environmental factors, which results in higher energy and time usage. The deep learning-based approach to retail experience and consumer personalized discounts is reviewed in this poll. Here, deep learning techniques have been used to analyze the current retailing and customer personalization survey. The issues with current methods have then been enumerated. To test the theoretical approach, a structural equation modeling technique is employed. Although the full model of the total retail experience is not tested, this study demonstrated the human relationship between a retail staff and a client. On the other hand, there are physical clues that have a significant impact on consumer satisfaction.