Sales Situation Research Articles

Exploring Illegal Trade and Management Strategies in Protected Aquatic Wildlife in Xiamen, China

In recent decades, illegal wildlife trade has become a global problem that threatens the conservation of many species. To promote sustainable animal trade, conservation plans must be developed and implemented locally. However, illegal trade in protected aquatic wildlife still occurs in many places. To understand the current situation of illegal sales, we conducted a sampling survey on eight sites in Xiamen for 5 consecutive years. The results show that illegal sales behavior is widespread, but there are changes. Notably, the proportion of stores with illegal sales fell from 17.7% in 2018 to 10.8% in 2022. We observed 24 species, 12 of which are listed in CITES. Among them, 15 species were recorded in annual surveys, accounting for 62.5% of the total species surveyed. Among the 24 species investigated, there were 8 living species. From 2018 to 2022, the number of food stalls selling protected species dropped the most, from 22.7% to 0%. Followed by dry goods stores, the number of stores selling protected species dropped from 24% to 8.3%. However, the number of craft shops selling protected species increased by 14.8%. It put forward protection suggestions such as focusing on cracking down on illegal sales and strengthening consumer publicity and education.

Research on the Application of Statistical Anomaly Detection in Tobacco Sales Anomaly Detection

With the rapid development of a new generation of information technology, digitalization and informatization have become key factors in enhancing the core competitiveness of the tobacco industry. Detecting and monitoring abnormal tobacco sales behaviors play a vital role in combating illegal transactions and ensuring the healthy development of the tobacco industry. Manual identification of abnormal sales behaviors presents practical issues, such as low efficiency, strong subjectivity, and a reliance on accumulated experience. Utilizing statistical probability theory to help the tobacco bureau determine the threshold for defining abnormal sales behavior can effectively improve the efficiency of anomaly detection. This study applies relevant theories of statistical anomaly detection in combination with practical production needs, establishing four threshold criteria for identifying abnormal sales behaviors: the number of days without retail data, the ratio of daily sales volume to the sales volume of the previous seven days, the number of days of available sales, and the number of days with scanning activity per week. These criteria make it possible to automate and dynamically identify abnormal sales behaviors in subsequent sales situations.

Exploring the Full Media Marketing Path of Agricultural Products from the Perspective of Digital Business Promoting Agriculture

This article is based on the perspective of promoting agriculture through digital commerce, focusing on the full media marketing strategy of agricultural products, and researching and formulating effective full media marketing methods to assist in the marketing of agricultural products. With the current favorable situation of supporting the rural economy through the market economy, we will deeply explore the typical characteristics and unique product attributes of agricultural products, and combine consumer demand to study the current situation of agricultural product sales, the shortcomings of all media marketing for agricultural products, and how to systematically apply all media marketing models to help develop feasible marketing strategies for agricultural products.

PRODUCT IN CHEESE PROCESSING PLANTS ANALYSIS OF PRODUCTION AND SALES SITUATION

In this article, the volume of product production in cheese processing enterprises, the analysis of the sales situation, international experiences, new reforms being carried out in our country, new opportunities being created, the types and composition of cheese products, scientific research work, the activities of cheese processing enterprises, economic co A number of issues related to indicators and statistical analysis are scientifically explained.

Data-Driven Approach to Enhancing Supermarket Vegetable Sales Strategies

China's vegetable commodity production has developed rapidly and made great progress. Due to the short shelf life of most vegetable products, they cannot be sold the next day. Therefore, by studying the distribution law of sales volume and the relationship between categories and pricing, the supermarket can accurately predict the sales situation, reasonably arrange replenishment plans, and formulate pricing strategies. Comprehensive analysis of automatic replenishment and pricing strategies of vegetable commodities is of great significance to the profit of fresh supermarkets. Aiming at the automatic pricing and replenishment strategies of vegetable products, this paper visualizes each item and each category to obtain the distribution and relationship of time, sales volume, and sales frequency of different items and categories. Spearman grade correlation coefficient is used for correlation analysis, and a single linear regression model is established. The relationship between cost profit rate and cost, selling price, and total sales volume of each category is obtained. Then, the ARIMA prediction model is used to predict the automatic pricing and replenishment strategies for each category and each vegetable item during the week of July 1-7, 2023, and July 1, 2023.

Automatic Pricing and Replenishment Decision-Making for Vegetable Commodities Based on Seasonal Index Prediction Models

This study provides an in-depth analysis of the relationship between sales, pricing, and product categories to construct a predictive model designed to optimize replenishment decisions and maximize superstore profits. The study begins with data preprocessing, integrating data coded according to individual products, on which the model is built and solved. In the first part, descriptive statistical analysis and visualization revealed that the sales volume of each category showed a cluster-like distribution, which was affected by seasonal variations. Based on the time series smoothness test, it is initially judged that each individual product is a smooth series, and the smoothness of the series is verified by ADF test. In the second part, the correlation coefficients of the sales volume of each category and single product were calculated by using Spearman correlation analysis, and the results were presented through heat maps, which revealed the strong correlation between different categories. For the relational equation between total sales volume and cost-plus pricing, an autoregressive and least squares model was developed, with cost-plus pricing as the dependent variable and total sales volume as the independent variable. For the seasonal index prediction model, the total daily replenishment and pricing at future dates were predicted by calculating the seasonal index. The results show that the replenishment volume of flowers and leaves fluctuates greatly, and it is recommended that pricing and replenishment volume be adjusted in a timely manner according to the actual sales situation; cauliflower, aquatic roots and tubers, and eggplant are relatively stable, and they should be adjusted moderately according to the market demand; and chili peppers and edibles are on a downward trend, and it is recommended that replenishment volume be reduced in order to avoid the inventory backlog.

An Investigative Study on the Development Strategies for Electric Vehicle Enterprises

With the continuous development of science and technology, cars have become an indispensable means of transportation for human beings in daily travel. More and more cars appear in our life. In recent years, as consumer awareness of energy conservation and environmental protection has increased, global demand for sustainable development has increased, and many new energy vehicles. Because the non-renewable resources such as oil and natural gas needed by traditional fuel cars are consumed faster and faster, the exhaust emissions of traditional cars are polluting the environment increases, so new energy vehicles are the future development trend of the automobile industry. With the international context of the rapid development of new energy trams, the sales volume of electric vehicles in China's automobile market is not good. Through data analysis and industry research, the key factors and reasons affecting the development of electric vehicles are found, make certain suggestions to Chinese new energy electric vehicle companies, in order to change the current situation of low sales of new energy vehicles, the report objectively and truly analyses the future planning of the development of Chinese electric vehicle enterprises and the change of the development trend, as well as the moderate fine-tuning of the sales pricing.

A study on the correlation of cyclical fluctuations in vegetable commodity sales based on wavelet analysis modeling

As the sales volume and time of vegetable commodities tend to have a certain correlation, in order to explore the distribution law of the sales volume of each category and single product of vegetables, this paper firstly handles the data to get the monthly sales volume of each vegetable category and single product of time series data, then uses Matlab's Wavelet Toolbox to carry out wavelet analysis,drawing wavelet variance diagrams, the main cycle trend graph to judge the cyclical pattern of each vegetable category and single product,and then use Origin to make wavelet coefficients real part contour graph to verify the law, and finally get the distribution law. This study can help superstores better grasp the sales situation and development trend of each vegetable category and single product.

판매 성공 상황에서 판매원의 판매 참여 행위가 고객지향성에 미치는 영향

판매 성공 상황에서 판매원의 판매 참여 행위가 고객지향성에 미치는 영향

Research on the Impact of Live Broadcasting on the Development of Rural Industries

With the innovation of information technology and e-commerce model, live e-commerce meets the diversified needs of consumers and has become a new driving force for the growth of online consumption. In the 2020 novel coronavirus pneumonia outbreak and the decisive struggle against poverty, the direct broadcast of electric business has opened a convenient door for the sale of agricultural products. Direct broadcasting economy has promoted the development of rural economy, but there are also some problems. This paper analyzes the current situation of live broadcast sales of agricultural products and gives countermeasures to the problems. At present, with the continuous development of internet live broadcasting, various industries are trying to use live broadcasting for sales. For example, in the agricultural field, live broadcasting of agricultural products has become the main means of agricultural product marketing. During the live broadcast and delivery period, the diversity of live broadcast types ensures the delivery effect and increases the sales of agricultural products. However, the live broadcast of goods has also brought many problems, such as false publicity, data fraud, hidden gray industrial chain, difficulty in returning and exchanging goods, and other phenomena have also occurred many times, which has attracted the attention of all walks of life. Therefore, it is suggested that in the process of live broadcast sales of agricultural products, the anchor with goods should be encouraged to continuously enhance their live broadcast ability, and try to adopt diversified live broadcast modes for live broadcast with goods. In addition, it is also necessary to do a good job in the supervision and management of webcast. It is suggested that the relevant departments should establish a perfect supervision and management system for live broadcasting of commodities, and investigate and deal with all kinds of bad and illegal behaviors according to the law.

Optimizing Salesperson Performance: A Flow Theory Perspective

A sample of 125 salespeople from 13 countries was surveyed to assess the effects of flow on salesperson performance. Salespeople achieve the flow state when their skills match the challenges of the sales situation, and the challenge/skill balance is high. Exploratory and confirmatory factor analyses followed by a cluster analysis indicated that there was a significant difference in sales performance among salespeople with different levels of the flow state. The article concludes with managerial implications and directions for future research.

RETRACTED: Supply chain risk management of badminton supplies company using decision tree model assisted by fuzzy comprehensive evaluation

AbstractSupply chain risk management is crucial for the management of sports goods companies, which can help enterprises better complete the transparent and efficient management of the whole process from production to sales. However, there are inevitably some potential risks. Thereby, to study the supply chain risk management of badminton supplies companies in the general environment, the supply chain risk evaluation index system of badminton supplies companies is established in this study by studying the connotation of supply chain risk management and combining the steps of fuzzy comprehensive evaluation (FCE) method. Then, according to these evaluation indexes, the modelling process of the classification and regression tree (CART) algorithm in the corporate overall supply chain risk decision tree is proposed. Moreover, the corporate overall supply chain risk decision tree is established. Moreover, the financial data of 10 A‐share listed companies of badminton and other sports goods listed on the Shanghai Stock Exchange in 2020 are selected as the sample dataset for model training and testing. The potential risks of badminton enterprises are predicted. The results show that the scale of badminton enterprises has been increasing gradually since 2018, but the return on total assets has steadily decreased with the increase of years. It shows that the badminton supplies enterprise's input and output assets are unbalanced, and the overall asset operation effect is relatively poor. However, the growth rate of total assets shows a significant upward trend from 2018 to 2020, rising from 4% to 12.69%. It indicates that the corporate investment and domestic and foreign investment expansion in recent years are high‐speed. The FCE method is employed to obtain the maximum eigenvalue of the enterprise, which is 5.4698. Then, the C.I value is 0.1205, the R.I value is 1.12, and the consistency ratio value is 0.0958 < 0.1, indicating that the judgement matrix is acceptable. It suggests that under the influence of the macro environment and economic situation, the sales situation of the badminton supplies company is subtly affected by the macro environment, and there is a great business risk.

Comparison of Sales Prediction in Conventional Insights and Machine Learning Perspective

Generally, the predictions of sales volume can be regarded as using the system of the forecasting model to estimate the future sales quantity and amount for products and services. Accurate sales forecasting based on the previous sales situation can promote enterprise do better in the future income and encourage enterprises to establish and maintain a highly efficient sales management teamThis paper will analyze traditional sales forecasting methods and sales forecasting methods based on big data models which related to the perspective of machine learning, and then compare them. According to the analysis, the two sales forecasting methods have their own advantages and disadvantages. In the future, enterprises can adopt the two sales forecasting methods in parallel to maximize the utilization advantage of sales forecasting for enterprises. These results shed light on guiding further exploration of choosing appropriate sales model for enterprises.

A Privacy-Preserving and Verifiable Statistical Analysis Scheme for an E-Commerce Platform

To know the most recent market conditions, an e-commerce platform needs to be aware of the sales situation of its sellers’ commodities. The most recent market conditions can help to forecast future market trends and develop policies to guide sellers in reasonably allocating their inventory proportion. Statistical analysis is a fundamental approach to studying the sales situation. However, the sales data of an e-commerce platform usually has a significant volume. Therefore, outsourcing statistical analysis to cloud servers is an effective method. Nevertheless, sellers do not want their sales data leaked to anyone or any other organization. Moreover, in many circumstances, we cannot fully trust cloud servers. Thus, we need to utilize cryptographic or non-cryptographic tools to realize the above outsourcing. Secret sharing is a lightweight and powerful non-cryptographic tool to realize privacy-preserving data analysis. However, it needs secure channels to distribute secret shares. On the other hand, homomorphic encryption is a powerful cryptographic tool for designing privacy-preserving data analysis schemes. Nevertheless, these schemes usually do not allow the entity that holds the decryption key to collude with other entities. We propose a privacy-preserving and verifiable statistical analysis scheme for an e-commerce platform that combines a threshold secret sharing scheme with a verifiable threshold homomorphic encryption scheme. Our solution’s demand for secure channels is reduced by 40% ~ 60% compared with a traditional threshold secret sharing scheme, thanking the designed novel distribution model for delivering secret shares. Furthermore, our solution has a stronger ability to resist collusive attacks, keep sales data private from any entity, and ensure that the platform can only obtain the analysis results with the help of some cloud servers, alleviating the single point of trust. And meanwhile, the novel distributed model makes our solution enjoy better robustness and fault tolerance. The proposed solution is validated through security analyses, performance evaluations, and comparison analyses.

The Current State and Future Prospects of Different Types of New Energy Vehicles

With the advent of the electrification era of passenger cars, the development and trend of new energy vehicles have attracted growing public attention. The focus of this paper is to compare the merits and demerits of different types of new energy vehicles and to look forward to their future development prospects. Based on the sales situation of NEVs in recent years, the proportion of NEVs in the current market and the existing conditions of different types of NEVs, this paper analyzes the current market structure and looks forward to the future development of new energy vehicles. The paper finds that pure electric vehicles and plug-in hybrid vehicles are the two main players in the new energy vehicle market. In the era of automobile electrification, pure electric vehicles have unique comprehensive advantages, which is the development direction of the passenger car industry. Hybrid vehicles are used as an auxiliary for their coordinated development. Hydrogen energy vehicles are currently not as selected by the public as pure electric series and hybrid series, but hydrogen energy is another new energy development direction in addition to electric energy, and there is also much room for its development with the national support. Natural gas fuel vehicles currently have a small market and can also give full play to their advantages in the transition stage of development.

Design and Implementation of Traceability System Based on Blockchain

The fifth Plenary Session of the 19th CPC Central Committee included poverty alleviation and rural revitalization as the main goals of economic and social development during the 14th Five-Year Plan period. Moreover, it has created a new situation of digital sales of poverty alleviation and helps agricultural products such as "agriculture + e-commerce" and "agriculture + live streaming", and the traceability of agricultural products has attracted much attention. Com14bining the current social environment background and the investigation and understanding of the existing agricultural product sales mode of poverty alleviation, we found that the existing sales model chain and the traditional traceability system model have many shortcomings, such as unclear information sources and easy tampering. Based on this design, the idea of constructing a traceability system based on blockchain is proposed, and the required technical and economic feasibility is analyzed to confirm the realization of the idea. It is intended to meet the needs of agricultural product information management, poverty alleviation farmer information management, product traceability, etc. And through the web page and mobile terminal information interaction, the realization of agricultural products at any time, mobile, portable query. The final system test can ensure the normal operation of functions and the security, credibility, and transparency of information, provide new ideas and solutions for the field of targeted poverty alleviation, and help rural revitalization.

Analysis of The Impact of The Group Buying Talent Mode on Consumer’s Purchase Intention

Group buying talent is a new mode of Internet group buying business in recent years. It usually occurs on media platforms such as short videos and uses celebrity influence to sell a large number of goods. This study aimed to explore the influential factors on consumers' purchase intention. This paper applied and further developed the celebrity endorsement theory, increases the situation of Internet sales on the basis of the study of various factors of this theory, and enriches its impact on consumers. Finally, SWOT was used for case analysis and combined with theory to provide suggestions. Through the research, the following results can be obtained. The group buying talent model that takes advantage of the celebrity could increase the wishes of consumers. However, this model did not test the professionalism of endorsement, so it may reduce consumer recognition. Therefore, consumers will indeed be attracted by such a model, but there may also be resistance. In this context, the specific impact of the group buying talent model will be discussed later.

Research on Evaluation of Target Corporate and Its Stocks

Target Corporation was founded in 1902 in Minneapolis, Minnesota. According to the sales situation, it is one of the largest discount retailers in the United States and the world. Based on SWOT method, this paper studies the management status of Target, and makes multiple valuation analysis on the financial data of Target. The research concluded that Target is striving to become the leader of this enterprise in many aspects, and also has many advantages and development potential that other peers cannot match.

STUDY OF SELLING BEHAVIOR OF SALESPERSON

Today's sales management faces difficult sales management problems in order to achieve the desired performance. Company performance is closely tied to how effectively sales represent perform sales tasks. Sales need to be flexible and adapt their sales style to all different situations, as they need to deal with different customers and work on different sales situations. The behavior of a salesperson in coordinating a sales approach is known as adaptive sales behavior. The ability of a salesperson to perform a sales task depends on being able to practice adaptive sales behavior during and during sales with the customer. This study focuses on management and empowerment management techniques and looks at their simultaneous impact on the adaptive behavior of sales. The survey was conducted on a sample of a Grocery Shops. Ten Big Grocery Shops participated in the survey, (Big bazaar, Reliance, Lots Etc.) with a total of 100 responses. The results show that activity management and empowerment practices for encouraging decision-making participation, expressing trust, and providing autonomy are closely linked to sellers' adaptive sales behavior practices. Implications, research limitations, and improvements for future research were discussed. Keywords #salesperson #grocery #customers #sales #sales management #salesbehavior #sales #research #researchproject

PENGARUH ADAPTIVE SELLING BEHAVIOR (ASB) SEBAGAI MEDIATOR ANTARA KOMUNIKASI ORGANISASI DAN KINERJA PENJUALAN DI PT X

This research has a propose to examine the effect of organizational communication on sales performance through Adaptive Selling Behavior (ASB) as a mediator variable. Adaptive Selling Behavior (ASB) is a change in sales behavior through interactions with customers based on perceptual information about the nature of the sales situation. ASB helps sales staff to adopt marketing strategies and tailor their messages to suit customer needs and preferences. ASB can be used as a determinant of sales performance. One of the organizational factors that influence adaptive selling (ASB) is management style. In terms of the management style in communication, successful ASB will require understanding and collaboration between superiors and sales staff. Information in precise and accurate communication can improve sales performance. This research used a purposive sampling method of 83 sales staff participants. Based on the results of data analysis using the Hayes bootstrapping method or commonly called the PROCESS. The results showed that ASB acts as a mediator between organizational communication and performance, and produces a total effect value of p = 0.0071 (p <0.05) and can be stated as significan, and it was found that Adaptive Selling Behavior (ASB) has a role as a mediator variable in organizational communication on sales performance.