As a matter of fact, with the rapid development of the computation ability and data delivering, the big data analysis becomes a common tool to realize the predictions. With this in mind, this paper focuses on the impact of big data analysis on sales forecasting, starting with an introduction to the present-day context and significance of sales forecasting and some of the forecasting scenarios implemented by previous generations based on machine learning. After introducing these backgrounds, we start to introduce big data analysis and its impact on sales forecasting. According to the analysis and the summaty of the previous experience, we introduce the commonly used models, the parameters of the models, and the evaluation of the models as well as the application scenarios, and the specific application results. Finally, we demonstrate the limitations as well as future perspectives of big data analysis and sales forecasting. Overall, these results shed light on guiding further exploratio of bigdata analysis in sales prediction.

As a matter of fact, there is a significant difference between developed and underdeveloped regions in contemporary society. Under the trend of carbon neutrality and carbon peaking in environmental protection in recent years, the use of cars powered by electric, hydrogen or other fuel except oil seems to be fragmented across different regions. With this in mind, this study mainly studies and investiagtes the relationship between economic level and the ownership of the cars powered by electric, hydrogen or other fuel except oil from a perspective of economic data, as well as explores the impact of economic development level and population on the ownership of cars powered by electric, hydrogen or other fuel except oil and environmental protection. According to the analysis, it has provided a positive impact on promoting the development and popularization of cars powered by electric, hydrogen or other fuel except oil, which shed light on guiding further exploration.

To raise money for the transformation of electric cars, the Stockholm Stock Exchange is about to open trading for Volvo shares. Nowadays, more and more companies choose Initial Public Offering (IPO) to excessive their period of financial embarrassment. As a good deal, this research will analyze the main problems and weaknesses of IPO. An in-depth and detailed analysis of the reasons for the rejection can clarify the needs of the capital market on the specific requirements of the listed company, and guide the company to be listed in the listing declaration targeted into the line of rectification. At the same time, it is also for the listed company to compare their own industry conditions. The development stage, business characteristics and profit model, for the company's self-consideration of whether in line with the conditions for listing substantial judgment provides a specific reference basis. Ultimately, the paper found that productivity had a positive development with the help of the IPO. In the paper, the experience of Volvo's IPO showed that IPO was a good method to help companies gain money.

The Renminbi’s (RMB) journey towards international prominence encapsulates China's economic metamorphosis and the evolving dynamics of the global monetary system. This paper delves into the multifaceted trajectory of the RMB, highlighting the challenges and opportunities it faces in its quest for global acceptance. It provides an in-depth analysis of the implications of the US-China trade war and the global pandemic on the RMB’s internationalization. The paper also underscores the transformative potential of strategic initiatives such as China's Belt and Road Initiative (BRI) and the pioneering Digital Yuan. Through a nuanced exploration of these themes, this study offers insights into the RMB's current status and its prospective role in the global monetary order. As countries grapple with changing trade dependencies and the digital revolution in finance, the RMB emerges not just as a participant but as a potential leader in reshaping the contours of international finance.

In the context of the rapid development of Internet finance, researchers can understand the needs of users according to their behaviors and consumption habits, which can help enterprises and governments formulate relevant strategies. In addition, financial technology in the field of Internet finance continues to innovate, and researchers are committed to exploring the future application prospects of new technologies. However, there are still some research gaps. The research theme of this paper is the impact of Internet finance on low-income groups and residents in rural areas. The specific question that this paper wants to explore is what impact Internet finance has on low-income groups and residents in rural areas in which aspects. The result of the study is that Internet finance has a positive impact on low-income groups and rural residents through the convenience of financial services, the convenience of financial management, the expansion of lending channels and the popularization of financial knowledge education.

The current study conducted a thorough analysis of the complex connection between net family income and various crucial socio-demographic factors, such as educational achievement, age, self-esteem, insurance coverage, and the presence of dependents in households. The primary aim of this investigation was to identify the key factors that demonstrate a favorable and statistically significant correlation with net family income. The ability to make wise decisions is of utmost importance as it can help government officials create policies, stimulate economic growth, and improve the quality of life for people and families. Previous research has largely focused on determining the primary elements that affect individual net income, with a noticeable lack of in-depth studies into the area of family net income. As a result, the research seeks to fill this gap by examining if these recognized connections also apply to the realm of family net income. The study utilized meticulous multiple linear regression analysis as its analytical framework, adopting data from the nationally representative Longitudinal Survey of Youth. The study's results highlighted the strong positive associations between education, insurance status, and the number of dependents with net family income, while not taking into account any other factors that were studied.

New retail refers to integrating online and offline business models and realizing omnichannel sales, personalized customization, intelligent management, and other innovative ways through e-commerce technology. With the continuous development and popularization of e-commerce technology in China, new retail has become one of the key topics of current research. Researchers have found that the new retail model has become a trend in the traditional retail industry. However, a unified understanding of the new retail supplier selection problem is needed. In this paper, by using Oriental Selection as an example to explore the supplier selection problem under the new retail model, the study finds that the supplier selection in the new retail industry needs to conform to the development of the industry. With the help of the digital supplier selection model, it will establish in-depth partnerships with suppliers simultaneously to strengthen the development of a self-supply chain to prevent the supply risk problem.

The new energy vehicle supply chain is evolving rapidly to meet growing market demand, and innovations in battery technology, motor manufacturing, and charging infrastructure, among others, are driving progress in this sector. This paper explores the supply chain strengths of BYD, a major new energy vehicle manufacturer in China’s automobile manufacturing industry, and related issues. Through an in-depth analysis of BYD’s history, the company’s current status, and its innovative initiatives in the supply chain, the paper identifies its supply chain strengths in intelligence, sustainability, and innovation. However, some of the challenges BYD’s supply chain faces, such as delivery issues, data security risks and low collaboration with suppliers, are also raised. Finally, the paper offers some recommendations, including actively collaborating with high-quality suppliers, strengthening data processing and management capabilities, and adhering to supply chain innovation. These recommendations can guide BYD’s development and provide useful references for peer companies’ supply chain optimization.

With the advent of the Internet of Things era, China, as the largest manufacturing country, should actively carry out digital transformation to enhance the independent innovation ability, improve industrial structure, and optimize the quality and level of the existing manufacturing industry in order to enhance the brand competitiveness of manufacturing enterprises. This paper will provide a reference for other companies by examining the digital transformation path of Haier, the leader of Chinese home appliances, under the IoT model. This paper uses the case study method to analyze Haier's own business situation in recent years vertically by studying its digital transformation in terms of products and finances, and horizontally by comparing Haier's business situation with that of companies in the same industry. The study has found that changing business strategies based on the needs of the IoT era, constantly adjusting and optimizing internal structures and management models of enterprises, can help carry out digital transformation of enterprises in today's era.

In the new economic era, the emergence of ChatGPT has brought great impact to the accounting industry. And as a natural language processing tool, ChatGPT is not only a kind of intelligent chatting software, but also a kind of machine learning system utilizing a large-scale language model with powerful language understanding and text generation capabilities. Although ChatGPT technology still has limitations, and its application in the field of accounting has the defects of misleading data and reliability of information, the application of ChatGPT has become a general trend. The emergence of new technology will prompt business accounting to return to the essence, and expand the field. This paper discusses the prospect of ChatGPT application in the field of enterprise financial accounting and its challenges in the new economic era, and provides ideas on how enterprises can integrate ChatGPT into their financial accounting work to realize successful transformation and break through difficulties.