online sales
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Traditional online marketing methods use a single model to predict the advertising conversion rate, but the prediction results are not accurate, and users are not satisfied with the recommendation results. Therefore, this paper proposes an online marketing method based on multimodel fusion and artificial intelligence algorithms under the background of big data. First, it introduces big data technology and analyzes the characteristics of network advertising marketing model (RTB). Second, combined with multitask learning and fusion technology to improve the single model in advertising conversion rate prediction effect, prediction results to further improve the accuracy of results. Then, tF-IDF technology in artificial intelligence algorithm is used to measure the importance of advertising words in online marketing and calculate the contribution degree. Finally, according to XGBoost technology, the multitask fusion model of online marketing effect is classified. Experiments are used to analyze the effect of online marketing. Experimental results show that the proposed method can improve the accuracy of advertising conversion rate prediction and online sales of goods.

Ms Glow is a company engaged in the beauty sector. Ms Glow is a local brand that presents a series of skincare, especially for Indonesian women, which was founded in 2013. Technology is growing very fast as is online sales. This Ms Glow Information System was designed to serve as a promotional medium for Ms Glow and to simplify the online buying and selling transaction process. The design of promotional media also considers the factors that can affect the target market and target audience, so that the desires of potential customers can be identified. The website created can display complete and clear information and contain transaction reports, which sometimes errors occur when processing data. Ms Glow's Information System is a website that makes it easy for shop owners and consumers to make sales transactions, purchase goods and report data. Using easy-to-read fonts, attractive photo images, and choosing the right color. This system is created using the PHP programming language with the MySQL database for data storage. The result of this system is that it can process product information, such as: managing user data, category data, goods data, and the process of purchasing goods transactions. Through this website, it is hoped that Ms Glow as previously mentioned can be implemented and improved

Covid-19 is not just a virus which is risking human lives everyday, but it is a phenomenon which has inflicted major changes on the long-term global survival and economic strategies. The pandemic has brought about major diversions in the world order, which philosophers and scientists have predicted to occur once in a century’s time. Covid-19 has also affected the personal health, physical and psychological of all human beings. It has forced people to change their social behaviors significantly, which has had consequential effect on their mental health. One significant result of the pandemic is the increased consumption of alcohol and other psychoactive substances among people. As people are forced to lock themselves up inside their homes, some have resorted to exercising, biking, running, and meditation to maintain sanity, while others have boosted their addictive behavior by consuming more alcohol and drugs to make staying-indoors more entertaining. Nielsen has reported a 54% rise in the national consumption of alcohol on the week of March 21st 2020, as compared to the same in 2019. The online sales of alcohol have also risen enormously from 2019 to 2020. The study aims to address the problem of increased alcoholism and substance abuse during Covid-19 by understanding the causes of this rise. The method is based on analysis and comparison of available survey reports, to find out exactly what amount of human consumption has increased during the pandemic. From the findings we can conclude that alcoholism and substance abuse has risen significantly during Covid-19, and psychological distress, anxiety and depression can be some major causes for this abnormal social behavior. It can also be implied that this increased alcoholism is likely to affect the physical health, neural and social behavior, and the work life of many human beings through the pandemic.

This study aims to analyze the effect of networking, online sales, offline sales, and training on the trust of members of the Karya Utama Sejati cooperative. This research is important because optimal member trust can be influenced by Networking, online sales, offline sales, and training at Koperasi Karya Utama Sejati. The sample in this study were all members of the Karya Utama Sejati cooperative, totaling 58 people. The research design used is quantitative research with a descriptive approach with an emphasis on theory testing through measurement of research variables through distributing research questionnaires. The analysis technique in this study is to use multiple linear regression analysis with the help of SPSS 20.0 software. The results showed that the networking variables had an effect on member trust, online sales had an effect on member trust, offline sales had an effect on member trust and training had an effect on the trust of members of the Karya Utama Sejati Cooperative and there was a simultaneous influence on networking, online sales, offline sales and training on trust members of the Karya Utama Sejati cooperative. The advice that can be given to the Karya Utama Sejati cooperative is to improve networking, online sales, offline sales, and training to maximize the trust of cooperative members and achieve the vision and mission of the cooperative.

Purpose This study statistically examines the shifting distribution channels in the American wine industry based on the growth trajectory of sales, seasonality and disruption due to consumers switching to online platforms. The purpose of this paper is to design a model that will have general applicability beyond the wine industry. Design/methodology/approach The research uses regression-based additive decomposition of time series data to predict the trajectory of the market share for the digital distribution channel. The study develops a statistical prediction model using time series data between 2007 and 2020, inclusive, sourced from US Annual Wine Reports and Bureau of Alcohol, Tobacco and Firearms databases. Findings The results show an increasing trajectory of wine sales through the online distribution channel with predictable seasonality. The disruptive effects of consumer switching behavior point to a steady increase in sales due both to increasing demand and accelerating switching. Nevertheless, the model shows that bricks and mortar purchases will remain strong and continue to account for the bulk of wine sales. COVID-19 has caused a step function increase in online sales but this should moderate after the crisis subsides and can be tested further. Originality/value This study is original in developing a model for an industry where bricks and mortar sales are growing and are expected to remain strong while there is still identifiable switching to online sales. The wine industry presents a classic case of accelerating switching behavior where there is still a strong franchise for in-store purchases. The model should have general applicability to distribution channels beyond the wine industry where steady growth, marked seasonality and disruptive consumer switching are in evidence.

E-commerce sales have led to a considerable increase in the demand for last-mile delivery companies, revealing several problems in their logistics processes. Among these problems, are not meeting delivery deadlines. For example, in Chile, the national consumer service (SERNAC) indicated that in 2018, late deliveries represented 23% of complaints in retail online sales and were the second most common reason for complaints. Some of the causes are incorrectly designed delivery zones because in many cases, these delivery zones do not account for the demographic growth of cities. The result is an imbalanced workload between different zones, which leads to some resources being idle while others fail to meet their workload in satisfactory conditions. The present work proposes a hybrid method for designing delivery zones with an objective based on improving the quality of express delivery services. The proposed method combines a preprocess based on the grouping of demand in areas according to the structure of the territory, a heuristic that generates multiple candidates for the distribution zones, and a mathematical model that combines the different distribution zones generated to obtain a final territorial design. To verify the applicability of the proposed method, a case study is considered based on the real situation of a Chilean courier company with low service fulfillment in its express deliveries. The results obtained from the computational experiments show the applicability of the method, highlighting the validity of the aggregation procedure and improvements in the results obtained using the hybrid method compared to the initial heuristic. The final solution improves the ability to meet the conditions associated with express deliveries, compared with the current situation, by 12 percentage points. The results also allow an indicative sample of the critical service factors of a company to be obtained, identifying the effects of possible changes in demand or service conditions.

Online sales are an important part of agricultural product sales channels under the background of rural revitalization in the new era. Online sales play an active role in invigorating the agricultural product market, solving the problem of connecting small production with big market and promoting farmers' income, agricultural efficiency and rural welfare. Based on the field survey data of 511 fruit farmers in Jiangxi Province, this paper empirically analyzes the influence of government support and network adaptability on online sales behavior of fruit farmers by using binary Logistic model. The results show that the government's implementation of operating subsidies, preferential taxes and fees and technical training are helpful for fruit farmers to adopt online sales; Network adaptability can significantly positively affect online sales of fruit farmers, and at the same time, there is a positive adjustment between government support and online sales behavior of fruit farmers; By implementing various support measures, the government helps to improve the adaptability of fruit farmers' network, and further has a significant positive impact on fruit farmers' adoption of online sales behavior. The results provide theoretical basis for the relationship among government support, network adaptability and online sales of fruit farmers, and provide practical enlightenment for the government and fruit farmers.

The scientific topicality. The book industry around the world has suffered significant losses due to the COVID-19 pandemic. It required the implementation of various anti-crisis measures and adaptation to these new circumstances. At present, a certain amount of experience has been accumulated, making it possible to summarize the effectiveness of measures taken in order to bring the book industry out of this crisis. Given that the People’s Republic of China was the first country to face the pandemic, its experience in transforming the book industry under such conditions deserves a detailed study. The purpose. Summarize the experience of transforming the book industry in PRC under the conditions of the pandemic; highlight its main directions; demonstrate that the success of overcoming the consequences of COVID-19 directly depends on the level of digitalization in the given field. The methodology. To achieve the stated goals, such methods as analysis of statistical material, sources on the topic of research, and summarization were used. The results. In the course of summarizing the experience of transforming the book industry of the PRC under the conditions of the pandemic, it was found that the success of overcoming the consequences of COVID-19 directly depends on the level of digitalization of the given field. The scientific novelty. For the first time, the experience of transforming the book industry of the PRC under the conditions of the pandemic is summarized. The practical significance. The successful experience of transforming the book industry of the PRC under the conditions of the pandemic can be used by other countries, including Ukraine. The conclusions. In the course of summarizing the experience of transforming the book industry in the PRC under the conditions of the pandemic, it was possible to highlight the following areas: transition mainly to online sales in book retail; active use of postal services as a delivery channel; opening of digital publishing resources to provide free access; expansion of media platforms for content distribution; organizing of online readings; use of multi-format content, multimedia content and cross-media for content distribution; use of the informative potential of the book industry to combat the pandemic in form of anti-epidemic publications and the development of platforms for informational resources. An analysis of this experience shows that the success of overcoming the consequences of COVID-19 directly depends on the level of digitalization of the book industry.

In the first half of 2020, the average sales volume of gallery operators declined due to the COVID-19 pandemic and art galleries faced a crisis relating to their sustainable operation. However, crypto art finance, which combines online sales with blockchain, is attracting a considerable amount of attention. Can the use of blockchain solve the problems encountered in today’s art trading market? Is it considered acceptable by participants in the art trading market? What factors affect the behavioral intentions of blockchain technology users? In this study, we discussed the relationship between perceived risks and the three external variables of trust, government support, and auction house initiative, as well as their impacts on user attitudes and behavioral intentions regarding blockchain. The results of this study verified key factors that will help to increase the use of blockchain and solve existing market issues. It will also promote the sustainable operation and development of art enterprises and the market.