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Journal articles on the topic 'Commodity sales'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Kuznetsov, Konstantin S. "Weighted average price management of manufacturer sales with determined realization volume by the end of trade period on commodity exchanges." International Journal of Financial Engineering 06, no. 04 (2019): 1950035. http://dx.doi.org/10.1142/s242478631950035x.

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This paper proposed a method to control the weighted average price of manufacturer sales with the initially specified sales by the end of the trading interval on the commodity exchanges. The developed manufacturer sales strategy is proposed as a hedge against price slumps without the use of derivative financial instruments in commodity markets.

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2

Wang, Feng, and Joey Aviles. "Contrasting Univariate and Multivariate Time Series Forecasting Methods for Sales: A Comparative Analysis." Applied Science and Innovative Research 7, no. 2 (2023): p127. http://dx.doi.org/10.22158/asir.v7n2p127.

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In commodity-based industries, accurate sales forecast is very important for effective inventory management and decision-making. Univariate and multivariate time series forecasting methods have been widely used to predict commodity sales. The purpose of this study is to make a comprehensive comparative analysis of these two methods under the background of commodity sales forecast. Firstly, the concept of time series prediction and its significance in the field of commodity sales are introduced. It emphasizes the challenges related to sales forecast, including demand fluctuation, seasonality an

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3

Zhao, Junyi, Chenye Xi, and Gong Chen. "Commodity Dynamic Pricing and Replenishment Decision Model Based on Cosine Annealing." Highlights in Science, Engineering and Technology 98 (May 16, 2024): 270–79. http://dx.doi.org/10.54097/xh0b5711.

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The purpose of this paper is to analyze the relationship between commodity sales volume, commodity types, sales time, etc., and propose a decision model to predict future sales data through historical sales data to determine a reasonable pricing strategy. First, the collected data is preprocessed. Through correlation analysis, the most important influencing factors of commodity sales are obtained. Through the construction of XGBoost model to model the influence factors obtained, the wholesale prices of chili products (yuan/kg) from July 1 to 7, 2023 are 3.63, 6.68, 6.90, 5.44, 6.62, 6.90, 5.44

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4

Kikusawa, Masahiro. "Web-based System for Agricultural Commodity Sales." Agricultural Information Research 11, no. 1 (2002): 41–49. http://dx.doi.org/10.3173/air.11.41.

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5

Yang, Xiaoyu, and Zixuan Liu. "Prediction Of Vegetable Commodity Pricing Based on Machine Learning Algorithms." Highlights in Business, Economics and Management 25 (January 20, 2024): 105–11. http://dx.doi.org/10.54097/g23s1y61.

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This paper is dedicated to improving the profit of vegetable category goods in superstores and optimizing how to make efficient pricing strategy for vegetable category so as to maximize the revenue of superstores. Therefore, a pricing strategy model based on genetic algorithm for vegetable category goods is proposed. First, we analyze and calculate the Pearson correlation of sales volume between categories, and obtain the positive correlation of leafy and cauliflower categories and the negative correlation of aquatic root and eggplant categories. Then, the cost, price and profit margin of each

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6

Borodin, K. G. "Export Tariffs in Commodity Markets." Economic Policy 19, no. 5 (2024): 150–85. http://dx.doi.org/10.18288/1994-5124-2024-5-150-185.

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This paper develops a partial equilibrium model and employs it to analyze the immediate consequences of introducing an export duty. Published materials confirm that the general premise of duopoly models is that external and internal sales markets are segmented and that this segmentation determines the long-term orientation of models in which production is a variable. In contrast to existing theoretical approaches, the relationship between domestic and foreign sales markets assuming fixed production volumes makes it possible to arrive at short-term estimates of the consequences of introducing a

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Huang, Xiaoyun, and Ziwei Zhang. "Replenishment Strategy Model Based on Cost-plus Pricing." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 712–19. http://dx.doi.org/10.54097/gaxy8z30.

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To formulate the commodity pricing replenishment strategy to meet the short-term profit demand of merchants, we established a pricing replenishment prediction model based on the sales-cost-plus pricing correlation. It integrates four-dimensional profit factors, taking the maximization of total profit as the core guidance and considering the objective impact of date. With ARIMA and random forest algorithm, the commodity cost and sales volume are predicted from the perspective of sales cyclical fluctuation. Finally, we constructed the optimal pricing linear function based on the goal programming

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姜, 艳梅. "Supermarket Commodity Sales Forecast Based on Data Mining." Hans Journal of Data Mining 08, no. 02 (2018): 74–78. http://dx.doi.org/10.12677/hjdm.2018.82008.

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9

Vavilov, Sergey A., and Konstantin S. Kuznetsov. "Weighted average price management of manufacturer sales on commodity exchanges." International Journal of Financial Engineering 05, no. 03 (2018): 1850029. http://dx.doi.org/10.1142/s2424786318500299.

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This paper proposed a method to control the weighted average price of manufacturer sales. The study of the posed problem is necessary to hedge manufacturer profits from price slumps in commodity markets. The elaborated method is applied to managing the trading process on real world commodity exchanges to prove its effectiveness.

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10

Lu, Peili, Jiaqi Shen, Liheng Zhao, Haoyang Qin, Xunzhi Liu, and Zhongxing Ye. "Price risk management by using dynamic hedging based on advanced Black–Scholes model." International Journal of Financial Engineering 07, no. 01 (2020): 2050011. http://dx.doi.org/10.1142/s2424786320500115.

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Price Risk Management plays an important role in Commodity trading and corporate purchasing or Sales plan. Futures are used to hedge the price risk which is linear, while options are used for the nonlinear one. This paper proposes an evaluation method of dynamic hedging strategy for corporate hedging commodity price risk based on advanced Black–Scholes Model. By using the inverse replication method, we get the dynamic hedging strategy which uses futures to replicate options. Finally, we apply the dynamic hedging strategy for corporate purchases and sales to either lower purchase cost or mainta

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11

Wang, Zijun, Xuyi Hui, and Fanxiang Yan. "Study of Commodity Relationships Based on Integrated Modelling." Frontiers in Business, Economics and Management 14, no. 3 (2024): 1–4. http://dx.doi.org/10.54097/1t77p551.

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With the times, sound business decisions are crucial for superstores. Multiple metrics such as replenishment and pricing decisions, future sales volume expectations, etc. tend to have an important place in operational decisions. Firstly, data visualisation is performed to study the distribution pattern of category sales volume and find outliers. Second, the relationship between categories and categories, and between individual products and individual products is analysed by Spearman's correlation coefficient. Then the connection between category and single product is described by grey correlat

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Yang, Lijiale, Chenglong Huang, and Shilei Wu. "Vegetable commodity pricing and replenishment strategy based on GA-XGBOOST algorithm." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 571–78. http://dx.doi.org/10.54097/bzww5661.

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In this paper, for the problem of vegetable commodity replenishment, sales volume and cost-plus pricing, firstly, we analyzed the distribution law and correlation relationship of sales volume of different categories and individual products of vegetables, then we used ARIMA time series model and wavelet analysis method to solve to get the relationship between sales volume change and time, and found that sales of flower and leaf category fluctuated more stably with the time series, and showed cyclic changes in the first two years; Then K-means clustering algorithm and Spearman correlation coeffi

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13

Yektiningsih, Endang, Pradina Dwi Handarista, and Indra Tjahaja Amir. "FARMERS' DECISIONS IN TUMERIC SALES IN NGEPUNG, GRESIK REGENCY." AGROLAND The Agricultural Sciences Journal (e-Journal) 9, no. 2 (2022): 81–88. http://dx.doi.org/10.22487/agroland.v0i0.1474.

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Local commodity-based farming needs to be developed by improving activities upstream to downstream of agricultural industries. Turmeric is one of the local commodities in Ngepung Village, Kedamean District, Gresik Regency. This commodity, which is widely used in food and beverage, and has health benefits, has not been cultivated intensively by some farmers in the area, mainly as a secondary commodity. The lack of access to information received caused the low willingness of the farmers to develop a turmeric business. However, some farmers have worked in small to medium-scale businesses because

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14

Zhang, Dingfeng, Yuhang She, Limei Liu, Rongjie Ouyang, and Jinpeng Ye. "Research on the correlation and distribution law of commodities." Highlights in Business, Economics and Management 33 (May 9, 2024): 9–17. http://dx.doi.org/10.54097/x8wpp523.

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In the fresh supermarket, the supermarket will generally make replenishment plans according to the historical sales and demand of each commodity. There is a certain correlation between the sales volume of different commodities. It is crucial to deeply understand the distribution law and correlation relationship of commodity sales to optimize the replenishment strategy. In this paper, Spearman correlation coefficient analysis and entropy weight method-TOPSIS model are constructed to analyze the distribution law and correlation relationship of vegetable products and single product sales volume.

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15

Zhao, Hang, Yikang Li, Ying Yang, and Lin Tang. "Research on Profit Maximization Model for Automatic Pricing and Replenishment Decision of Vegetable and Plant Commodities." Journal of Education, Humanities and Social Sciences 25 (January 26, 2024): 30–40. http://dx.doi.org/10.54097/nfr5ew79.

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The strategy of automatic pricing and replenishment of fresh commodity sales statistics is a long-standing challenge. Accurate pricing is of great significance for commodity sales, loss reduction and economic benefit improvement. The automatic pricing and replenishment strategy for fresh product sales statistics is a long-standing challenge, and accurate pricing is of great significance for product sales, reducing losses, and improving economic benefits. In order to investigate the pricing relationship between the sales of vegetables within a certain time range and the cost of individual produ

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16

Chu, Jian Li, Hong Yan Li, and Xiao Ji Chen. "Function and Database Design of Storage Management System." Advanced Materials Research 765-767 (September 2013): 1640–43. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1640.

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Storage management system manages and controls the storage out-warehouse activities, has a great significance for enterprises coordinate production and management and improve economic efficiency. For the difficult problems of storage management system development, in this paper, design the function and database. Function design, according to business process, design function module structure chart and describe each function module. Database design mainly includes concept structure design and logical structure design, design conceptual structure with E-R diagram for example of "commodity sales

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17

Li, Zan, and Nairen Zhang. "Short-Term Demand Forecast of E-Commerce Platform Based on ConvLSTM Network." Computational Intelligence and Neuroscience 2022 (July 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/5227829.

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Based on real sales data, this article constructed LGBM and LSTM sales prediction models to compare and verify the performance of the proposed models. In this article, we forecast the product sales of stores in the future T + 3 days and use MAPE as the evaluation index. The experiment shows that the product sales prediction model based on the convolutional LSTM (ConvLSTM) network has better prediction accuracy. From a store point of view, ConvLSTM prediction model MAPE was 0.42 lower than the long short-term memory (LSTM) network and 0.68 lower than LGBM. From the perspective of commodity cate

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18

Yadavalli, V. S. S., N. Anbazhagan, and G. Arivarignan. "A Two-Commodity Stochastic Inventory System with Lost Sales." Stochastic Analysis and Applications 22, no. 2 (2004): 479–97. http://dx.doi.org/10.1081/sap-120028606.

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19

Fatkullina, Alina, and Yulia Beliaeva. "Sales policy: arrangement and controlling." SHS Web of Conferences 120 (2021): 02018. http://dx.doi.org/10.1051/shsconf/202112002018.

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The article is devoted to the study of the commodity policy, which directly plays a key role in the management of any company, as well as affects all aspects of its activities. It examines the directions and goals of the product policy, studies its components and principles, as well as methods of managing the company’s product policy. The main idea is to reveal the essence of the product policy as an economically significant and effective tool for managing the company.

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20

Li, Zhang’ang, Tang Li, and Kaili Zhang. "Research on automatic pricing and replenishment strategy of vegetable commodities based on ARIMA algorithm." Highlights in Science, Engineering and Technology 94 (April 26, 2024): 580–85. http://dx.doi.org/10.54097/qjjx9a45.

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In just a few years' time, supermarkets have transformed from a novelty into a mainstream channel that unifies the retail world. Since superstores sell vegetables with a wide variety of types, different origins, and shorter freshness periods, the incoming transaction time of vegetables is often in the early morning, so superstores usually replenish their stocks on a daily basis according to the historical sales and demand of each commodity. First, this paper visualizes the historical data of vegetable commodity purchasing and pricing in superstores in order to observe the distribution characte

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21

Helmedag, Fritz. "Welfare Effects of Commodity Taxation." Journal of Economic Analysis 2, no. 2 (2023): 1–13. http://dx.doi.org/10.58567/jea02020001.

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In reality firms most often face negatively sloped demand curves. Then, for a given level of consumers’ surplus, levies on prices yield higher fiscal revenues than specific duties. Therefore, according to the prevailing view, the switch from unit to ad valorem taxation is supposed to generate more welfare; some even speak of an associated Pareto-improvement. However, this is not true because taxing prices merely transfers profits to the Treasury, while total rent remains unaffected. Since excise duties diminish the welfare gain in comparison with untaxed trade, an appropriately designed income

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22

Ewiel, Ewiel, Himmatul Miftah, and Ita Novita. "The Influence Of The Number Of Commodity Types And Storability On The Sales Level Of Hydroponic Vegetable Producers." JURNAL AGRIBISAINS 10, no. 1 (2024): 59–72. http://dx.doi.org/10.30997/jagi.v10i1.11856.

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As the number of hydroponic vegetable producers in Bogor City increases, producers must improve strategies and win the competition to stay ahead. This study aims to determine how the sales level of hydroponic vegetable producers in Bogor City, how the number of commodity types and shelf life of hydroponic vegetable producers in Bogor City and the effect of the number of commodity types and shelf life on the sales level of hydroponic vegetables in Bogor City. This research was conducted in May-June 2023. The data collection method was carried out by census. Respondents in this study were 20 hyd

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23

Richards, Timothy J., and Luis Padilla. "Commodity R&D and Promotion." Journal of Agricultural and Applied Economics 34, no. 3 (2002): 401–15. http://dx.doi.org/10.1017/s1074070800009202.

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Considerable evidence exists of high returns to public and private investment in commodity research and development programs. This study investigates the potential returns to product research, development, and marketing in a dynamic commodity-market model. Theoretical hypotheses derived from the solution to this model are tested in an empirical example of Washington apples. Estimation results show that, despite significant spillovers to research and promotion expenditure in this industry, there is nonetheless considerable latitude to increase annual sales.

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24

Zhuo, Zhiyi, Shuhong Chen, and Hong Yan. "Mathematical Modelling of B2C Consumer Product Supply Strategy Based on Nonessential Demand Pattern." Journal of Mathematics 2024 (April 2, 2024): 1–14. http://dx.doi.org/10.1155/2024/7711868.

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The influence of consumer psychological effects on customer needs has become a normal state of product sales models in the consumer goods supply chain field. The literature lacks systematic research on the mechanism through which consumer psychological effects affect customer needs. On the basis of analyzing and sorting out the literature and viewpoints, this paper establishes a mathematical model to investigate how manufacturers design and plan product supply strategies based on nonessential demand patterns under three different sales models. Finally, by solving the mathematical model, the op

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25

He, Wanting, Xixi Zhu, and Lianghui Zhao. "Comparative Analysis of the Effects of False Low-Price Marketing Strategy on Multiple Platforms." Proceedings of Business and Economic Studies 4, no. 6 (2021): 32–38. http://dx.doi.org/10.26689/pbes.v4i6.2827.

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In order to make full use of the characteristics of commodity prices, merchants on e-commerce platforms have adopted the low-price marketing strategy. Regular promotional discounts can bring new vitality to the commodity sales market, but extreme discount marketing methods would lead to serious impacts on the sales of competing products, thus affecting the stable development of the online shopping market. The sales data of four electrical products using the false low-price marketing strategy on three e-commerce platforms (Taobao, JD, and Amazon) were used in this study. The sales data from dif

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26

Тегин, Алексей. "Gold sales hedging with use of Asian commodity options chains." Управление финансовыми рисками 2 (2022): 122–29. http://dx.doi.org/10.36627/2221-7541-2022-2-2-122-129.

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27

张, 晨. "Commodity Sales Forecast Method Based on BalanceCascade Soft Voting Strategy." Advances in Applied Mathematics 11, no. 03 (2022): 923–34. http://dx.doi.org/10.12677/aam.2022.113099.

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28

Arkadev, D. A., and Yu V. Lyandau. "Investment in Commodity Stocks as Way to Minimize Risks in Crisis." Vestnik of the Plekhanov Russian University of Economics, no. 4 (July 21, 2021): 39–45. http://dx.doi.org/10.21686/2413-2829-2021-4-39-45.

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Managing stocks in crisis is an effective method of providing sustainable functioning of the company and maintaining sales on the necessary level. To arrange this process it is essential to identify groups of products bringing high profit, products being in demand and products, which should be denied, as their sales are no higher than 2% of the total sales. The authors consider management of finished commodity stocks as a method to provide sustainability in crisis, in particular, pandemic. At the same time they highlight the key factors of stock monitoring, including possibility to build-up mo

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29

Li, Ye. "Research on Game-Theoretic Supply Chain Optimisation Strategies Based on Multiple Linear Regression and BP-PSO Combined Time Series Analysis." Highlights in Science, Engineering and Technology 98 (May 16, 2024): 211–17. http://dx.doi.org/10.54097/mpv66q51.

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Vegetable commodities have a short cycle, and supermarkets generally replenish goods based on historical sales and demand for each commodity. Vegetable commodities are different from other commodities with relatively stable supply chain planning and market environment, so the automatic pricing and replenishment decisions of fresh food superstores on commodities are of great significance. This paper focuses on the problem of commodity pricing and replenishment strategy. Firstly, through multiple linear analysis regression analysis, the relationship between total quantity and cost plus pricing,

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30

Du, Ying-Yu, Yong-Qi Huang, Can-Xu Yao, and Yuan-Biao Zhang. "Influential Factors of Residential Commodity Price Changes in Sanya." International Journal of Economics and Finance 10, no. 12 (2018): 96. http://dx.doi.org/10.5539/ijef.v10n12p96.

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Residential commodity price is not only an important index of government macro-control, but also an important livelihood topic in society. The purpose of this paper is to take Sanya as an example to make an empirical analysis on the relationship between the factors affecting commodity housing prices, and their effects on housing prices. By using pearson correlation analysis, factor analysis and principal component regression method, it is found that the main factors influencing the housing price in Sanya are the housing sales area, the gross domestic product, the per capita disposable income,

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31

Chen, Tao, Zikun Luo, and Jinhui Liu. "Research on Vegetable Commodity Pricing and Replenishment based on Planning Models and Genetic Algorithm." Frontiers in Computing and Intelligent Systems 5, no. 3 (2023): 84–89. http://dx.doi.org/10.54097/fcis.v5i3.13861.

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This paper focuses on an in-depth study of supermarket vegetable pricing and replenishment problems, utilizing a variety of methods such as statistics, prediction models, planning models and other methods of analysis. First, the data were preprocessed, and frequency distribution histograms were drawn, revealing the distribution pattern and correlation between each category and each single product of vegetables through descriptive statistical analysis. Secondly, for the relationship between sales and pricing, the sales unit price was averaged through the cost-plus pricing formula, and MATLAB wa

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32

Karpovich, N., and E. Makutsenia. "Comprehensive assessment of competitive conditions of domestic exporters in foreign agricultural markets by level of their geographical priority for the Republic of Belarus." Agrarian Economics 1, no. 4 (2025): 3–17. https://doi.org/10.29235/1818-9806-2025-4-3-17.

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A set of factors has been defined that allow assessing the level of competitiveness of agricultural products in foreign markets. A methodology has been developed for a comprehensive assessment of the competitive conditions of domestic exporters in external agricultural markets according to the levels of their geographic priority for the Republic of Belarus, which is based on a system of indicators and the sequence of selection of the most promising sales markets. The developed methodology was tested on the example of the commodity item FEACN (040210 (SMP), which made it possible to identify co

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33

Zhang, Wen Xiang. "Commodity Anti-Counterfeiting Based on the Android Platform." Advanced Materials Research 403-408 (November 2011): 1360–63. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1360.

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This paper describes that through Android platform in the mobile terminal we can send or receive the commodity anti-counterfeiting message, send commodity anti-counterfeiting message to enterprise information processing platform, send back the data to mobile terminals which had been processed, and displayed to consumers’ the screen through the information processing. Mobile terminal anti-counterfeiting technology has much more sophistication than the no digital anti-counterfeiting technology. It not only can feedback commodity genuine or fake information to consumer, but also can help the ente

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34

Windarti, Windarti, Eva Dolorosa, and Anita Suharyani. "DIGITAL MARKETING STRATEGY OF DRAGON FRUIT COMMODITY IN JAWAI DISTRICT, SAMBAS REGENCY." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 6, no. 2 (2022): 210–23. https://doi.org/10.14710/agrisocionomics.v6i2.13756.

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Dragon fruit is a plant that is widely cultivated and has a wide and diverse market reach so that it can improve the community's economy. Jawai District is an area that has the potential to cultivate dragon fruit with favorable climatic conditions. However, the increasing number of dragon fruit cultivation both within the region and outside the region will increase production so that an effective and efficient distribution channel is needed. The research objective is to understand the digital marketing of dragon fruit commodities. The research uses a qualitative descriptive method through data

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Klepanchuk, Olga Yu. "Management of Commodity Flows in Electronic Trading Systems." Business Inform 4, no. 567 (2025): 216–22. https://doi.org/10.32983/2222-4459-2025-4-216-222.

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The aim of this article is to study the features of managing commodity flows in electronic trading systems. The main factors affecting the efficiency of logistics processes in online sales have been identified, and the specifics of forming commodity flows through digital platforms have been analyzed. Directions for optimizing commodity flow management, taking into account modern technological solutions and consumer needs, are proposed. The prospects for the development of electronic logistics in the context of the digitalization of the economy have been outlined. Theoretical approaches to mana

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Zhong, Zhuofan, Sihan Wu, Runkang Yang, and Yiming Qian. "Analysis of Sales Products Based on Data Mining." Financial Forum 11, no. 2 (2022): 39. http://dx.doi.org/10.18282/ff.v11i2.3044.

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<p>With the popularization and development of the Internet, online sales are gradually replacing offline sales and occupy a major position in the sales industry. The transformation of sales mode will also be a huge challenge for commodity companies. Analyzing and mining market information and consumer feedback has become the key to network marketing. Based on the data of mathematical modeling competition for American college students in 2020, this paper mainly uses mathematical methods such as correlation analysis, multiple Logistic regression and natural language processing to formulate

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Wang, Yi, Hao Yuan Ou, and Jian Ming Zhang. "Design and Implementation of E-Commerce Recommendation System Based on Ontology Technology." Advanced Materials Research 978 (June 2014): 244–47. http://dx.doi.org/10.4028/www.scientific.net/amr.978.244.

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Electronic commerce recommendation system can effectively retain customers, effective means to improve the electronic commerce system sales. This paper first analyzes the E-commerce recommender system based on ontology, and applies it to the clothing e-commerce website customer relationship management and personalized commodity recommendation; semantic structure through ontology has to commodity recommendation. The paper presents design and implementation of E-commerce recommendation system based on ontology technology so as to effectively improve customer satisfaction.

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Chen, Yutong. "A study on commodity pricing and sales optimization based on linear programming model: a case of vegetable category." Highlights in Business, Economics and Management 33 (May 9, 2024): 274–80. http://dx.doi.org/10.54097/ndkega92.

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In the fresh food retail industry, vegetable commodities require daily replenishment decisions based on historical sales and demand due to their short freshness period and susceptibility to quality. In this paper, the sales volume, wholesale price and unit price of each category are first extracted, and the cost-plus ratio and related data are calculated. The relationship between the sales volume of each category and the cost markup rate is analyzed through linear regression, and it is concluded that the sales volume of most categories decreases with the increase of the markup rate, and throug

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39

李, 嘉依. "Predicting Commodity Sales Based on Big Data of Online Public Opinion." Statistics and Application 08, no. 05 (2019): 804–15. http://dx.doi.org/10.12677/sa.2019.85091.

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Zhang, Xintong, Chong Zhang, and Jingyi Wang. "Research on the Influence of Online-shopping Additional Reviews on Product Sales of Search Commodity and Experience Commodity." Journal of Physics: Conference Series 1693 (December 2020): 012105. http://dx.doi.org/10.1088/1742-6596/1693/1/012105.

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41

REZNIK, Nadiia, and Аnatolii YARMOLIUK. "ANALYSIS OF PROVIDING FUTURES TRADE OF AGRICULTURAL PRODUCTS IN UKRAINE." Ukrainian Journal of Applied Economics 5, no. 4 (2020): 139–47. http://dx.doi.org/10.36887/2415-8453-2020-4-15.

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Introduction. The basis for the advancement of the rank is legislative and normative, legislative acts, regulations, instructive materials, informational staff, and special literature. The gross scientific method for the analysis and synthesis, induction and deduction, convergence from the abstract to the concrete were used, as well as specific methods of analysis: grouping, ruling, systematic, etc. The purpose of the article is to justify the development of futures trading and its introduction into the sale of agricultural products in Ukraine in modern conditions. Results. This article proves

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HaiYan, Song, and Zhang Huan. "Research on Commodity Expectation Based on ABC Classification and Association Rules." E3S Web of Conferences 292 (2021): 02026. http://dx.doi.org/10.1051/e3sconf/202129202026.

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For some companies, sales means arranging goods and selling them on the shelves. This kind of arrangement of goods regardless of priority brings a lot of internal consumption to the enterprise. With the rapid development of the Internet and industry, many large companies have gradually established and improved their production and sales processes. The traditional ABC classification method can no longer meet this demand. The new method that can compensate for the traditional ABC classification method is particularly important. This article uses association rules to use the ABC classification me

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Lee, Sunjin, Yujeong Kim, and Saro Lee. "Statistical Data of Mineral Commodity." GEO DATA 3, no. 3 (2021): 16–34. http://dx.doi.org/10.22761/dj2021.3.3.003.

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The advanced countries, including the United States of America, Japan, the United Kingdom, etc., struggle to secure mineral resources for their development of economy and industry themselves. We, the Republic of Korea need to respond to come up with an effective counterplan for the resource supply and demand accordingly. The Korea Institute of Geological Resources (KIGAM) is a state-designated approval statistic institution and has been building the mineral commodity statistic data of the minerals, officially defined by the mining act of the Korean government since 1986. The statistical data o

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Wolf, Redmar. "VAT Pitfalls in Intra-EU Commodity Trade." EC Tax Review 21, Issue 1 (2012): 33–38. http://dx.doi.org/10.54648/ecta2012004.

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In this article, the author addresses case law of the ECJ concerning the VAT aspects of the intra-community trade in goods. This trade falls under the provisions of the transitional VAT regime, a regime that has by now acquired a permanent status. In recent judgments, the ECJ filled in some voids left by the EU legislature. That the VAT treatment of, for instance, triangular sales is now harmonized, is good news. It can be doubted, however, whether the regime as devised by the ECJ will help trade. It leads to legal uncertainty, especially for intra-community supplies where the customer arrange

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ДРАЖНИЦЯ, Сергій, та Євген КАЛІНСЬКИЙ. "ТОВАРОЗНАВЧІ АСПЕКТИ ІНФОРМАЦІЙНОГО ЗАБЕЗПЕЧЕННЯ АСОРТИМЕНТНИХ ПОЗИЦІЙ". Herald of Khmelnytskyi National University. Economic sciences 340, № 2 (2025): 286–89. https://doi.org/10.31891/2307-5740-2025-340-46.

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In this article, the authors define the role and tasks of information support for assortment items and the process of their management, and also highlight the place of commodity-related aspects of information support for assortment items. It has been established that for effective management of assortment items and product flows, high-quality information support is necessary, which can be based, among other things, on commodity aspects. The authors cite the dependence of the effectiveness of trade and intermediary sales activities on the quality and completeness of information provision of ass

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Epi Handayani. "The Influence of Production Costs and Sales Volume on Company Profits at PT Solusi Bangun Indonesia (Case Study on the Indonesian Stock Exchange 2015-2022)." Formosa Journal of Social Sciences (FJSS) 3, no. 2 (2024): 175–86. http://dx.doi.org/10.55927/fjss.v3i2.9651.

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In 2019, production costs decreased by IDR 1,858,167. The decrease in production costs is because the company has to pay Holcim's debt, whose total debt reaches 9 trillion, so this year production costs have decreased. The lowest sales volume occurred in 2017. In 2017, the company's sales volume was only IDR 2,158,795. The decline in sales volume was caused by falling production costs and high inflation which also caused an increase in commodity prices. The lowest net income occurred in 2017. In 2017, the company still experienced a financial year loss (863,644) rupees. The decrease in operati

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Hayumi, Wa, Stellamaris Metekohy, and Fahrudin Ramly. "Analysis of Factors Affecting the Growth of MSMEs in the Leading Sector of Capture Fisheries Commodity Processing in Masohi City and Amahai Districts, Central Maluku Regency." Daengku: Journal of Humanities and Social Sciences Innovation 4, no. 2 (2024): 210–16. http://dx.doi.org/10.35877/454ri.daengku2455.

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The purpose of the study was to determine the effect of capital, labor, promotion and sales methods on the turnover of MSMEs in the leading sector of capture fisheries commodity processing in Masohi and Amahai Districts, Central Maluku Regency. For this purpose, a sample of 32 MSME actors was taken as respondents. The collected data were analyzed using multiple linear regression. The results showed that capital and labor had a positive and significant effect on MSME sales turnover, while promotion had a positive but not significant effect while the sales method had a negative and insignificant

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Zhai, Jianwei, Qing Li, and Yufei Xia. "Analysis of E-Commerce Product Sales Prediction Based on Ga-Bp Neural Network." Highlights in Business, Economics and Management 5 (February 16, 2023): 456–62. http://dx.doi.org/10.54097/hbem.v5i.5124.

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In recent years, the market for the sale of various goods has been expanding and with it comes huge amounts of data that needs to be specifically processed and analyzed. For a company, the adoption of artificial intelligence algorithms with better performance in handling big data is an important step in influencing the future decisions and future growth of the company. In this paper, an optimized neural network based on GA-BP is constructed to analyze samples with different characteristics to predict the future sales in the short term. After testing, the prediction results are found to be good

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Liu, Chengcheng, Guangyin Zhou, and Caiying Zhong. "A Study on Vegetable Commodity Selling Price and Sales Forecasting Based on ARIMA-Differential Evolutionary Algorithm." Highlights in Science, Engineering and Technology 101 (May 20, 2024): 822–32. http://dx.doi.org/10.54097/1gh4h491.

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Fresh food superstores need to develop accurate replenishment plans to cope with the pricing challenges caused by the short freshness period, many varieties, and large differences in origins of vegetables, to meet customer demand and to protect the sales program. In this paper, we firstly draw bar charts to show the distribution of sales among the top 10 best-selling and least-selling vegetable items in each vegetable category, and draw correlation coefficients heat maps to show the correlation of sales among the six vegetable categories. Since there are too many vegetable categories, only the

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Liang, Yiling, and Chuhan Tang. "A study on the correlation of cyclical fluctuations in vegetable commodity sales based on wavelet analysis modeling." Highlights in Science, Engineering and Technology 82 (January 26, 2024): 333–38. http://dx.doi.org/10.54097/fpyyf059.

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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 c

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