New retail, time series, regression analysis, mean-variance
Abstract
New retail has been the main trend of the future retail market. Statistics plays a key role in sales and inventory of new retail. However, there is little research on combining new retail and statistics worldwide. In this paper, the concept and development of new retail are summarized, and the time series, regression, and mean-variance models from statistics are used. Case analyses are made to clarify the application and value of each of the three models in the new retail market. Besides, the limitations of the three models are also revealed. This article points out that in an increasingly competitive market environment if the market pays more attention to sustainable development, it will be particularly important to use scientific statistical methods to make decisions. This will help optimize inventory management and improve operational efficiency, effectively segment customer groups, comprehensively evaluate marketing strategies, improve customer experience, and strengthen risk management. In this way, companies will gain a significant competitive advantage, thereby enhancing market competitiveness and long-term sustainable development potential.
