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Автор: Grafiati
Опубліковано: 11 вересня 2023

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Статті в журналах з теми "SALES PATTERN"

1

Pramita, Made Dinda Pradnya, Made Sudarma, and Ida Bagus Alit Swamardika. "Analysis of Sales Pattern Determination System and Drug Stock Recommendation." Jurnal Ilmu Komputer 12, no. 2 (September 30, 2019): 53. http://dx.doi.org/10.24843/jik.2019.v12.i02.p04.

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Анотація:
The tight competition in the pharmacy industry, requires pharmacy owners to develop strategies in increasing drug sales. One of the strategies carried out is to analyze patterns of drug sales and determine drug stock recommendations based on sales transaction data. Based on this, an application was built to determine the pattern of drug sales and drug stock recommendations by using a modified Apriori Algorithm and Triple Exponential Smoothing Method. Apriori algorithm modification is used to overcome the problem of large amounts of sales transaction data, thus minimizing the time in the database scan process. Triple Exponential Smoothing method is used in determining drug stock recommendations based on sales patterns that have been generated to prevent excess or lack of stock. Application testing techniques used are performance testing, lift ratio and accuracy testing. The research resulted in a sales pattern that has a strong association rule and time analysis using Apriori Algorithm modification that is faster than using a traditional Apriori Algorithm and the percentage error value of drug stock recommendations by 31.84%. Keywords: Sales Pattern, Stock Recommendations, Apriori Algorithm Modification and Triple Exponential Smoothing
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2

Murlidharan, Vijayalakshmi, and Bernard Menezes. "Frequent pattern mining-based sales forecasting." OPSEARCH 50, no. 4 (January 10, 2013): 455–74. http://dx.doi.org/10.1007/s12597-012-0119-9.

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3

Boby, Solikhun, and Zulia Almaida Siregar. "Analisis Pola Penjualan Produk Makanan dan Minuman Menggunakan Algoritma Apriori." Journal of Informatics Management and Information Technology 2, no. 2 (April 30, 2022): 65–72. http://dx.doi.org/10.47065/jimat.v2i2.161.

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Sales are seen as a unit of business parameters that are very vital and valuable for business people to manage the business they are running, especially in the cafe business. Cafe Aksara as one of the business actors in the culinary world has a lot of demand in the sale and supply of goods on certain days due to the dynamic nature of visitor patterns and makes business people have to be wiser in setting strategies for the combination pattern of sales of food and beverage products found in Indonesia. Aksara cafe to attract customers. In a process of determining the sales pattern strategy at Cafe Aksara, customers or buyers greatly influence the sales transaction data recorded by the Aksara Cafe business person. However, from the results of these recordings, sales transaction data tend not to be used in a process of determining sales pattern strategies to attract customers and are only used as useless archives for Aksara Cafe business people. From these problems, there are many branches of computer science that can be used as reference points in overcoming sales problems, one of which is the branch of computer science Data Mining. Data Mining is a method that is quite categorical to be recommended in solving problems with the sale of food and beverage products, especially the Apriori Algorithm. The output of the Apriori Algorithm can help Cafe Aksara business people determine sales patterns on the sales data of their products
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4

Weng, Cheng-Hsiung, and Cheng-Kui Huang. "Discovering Specific Sales Patterns Among Different Market Segments." International Journal of Data Warehousing and Mining 16, no. 3 (July 2020): 37–59. http://dx.doi.org/10.4018/ijdwm.2020070103.

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Formulating different marketing strategies to apply to various market segments is a noteworthy undertaking for marketing managers. Accordingly, marketing managers should identify sales patterns among different market segments. The study initially applies the concept of recency–frequency–monetary (RFM) scores to segment transaction datasets into several sub-datasets (market segments) and discovers RFM itemsets from these market segments. In addition, three sales features (unique, common, and particular sales patterns) are defined to identify various sales patterns in this study. In particular, a new criterion (contrast support) is also proposed to discover notable sales patterns among different market segments. This study develops an algorithm, called sales pattern mining (SPMING), for discovering RFM itemsets from several RFM-based market segments and then identifying unique, common, and particular sales patterns. The experimental results from two real datasets show that the SPMING algorithm can discover specific sales patterns in various market segments.
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Fauzi, Cholid, and Aly Dzulfikar. "Implementation of Product Sales Forecast Using Artificial Neural Network Method." IJISTECH (International Journal of Information System & Technology) 5, no. 2 (August 30, 2021): 153. http://dx.doi.org/10.30645/ijistech.v5i2.126.

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Product sales forecasting is used by companies to estimate or predict future sales levels using sales data in the previous year. The Artificial Neural Network Backpropagation Algorithm can forecast the sales of goods for the next period for each item in the company. The forecasting process begins by determining the variables needed in the network pattern, and then the established network pattern continued in the network training process using the backpropagation algorithm. After carrying out the network training process, the researcher comparisons with several network patterns formed. This research was conducted to discuss the forecasting analysis of PT XYZ products on spiral and leaf springs. Forecasting carried out on Toyota 48210-25290 R3 type leaf springs using the Artificial Neural Network Backpropagation method with a learning rate weight value of 0.1 hidden layers four and an error of 0.01. From the data processing analysis that has been carried out based on the weight parameters selected, the prediction of sales in April.
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6

Kim, Jonghyuk, Hyunwoo Hwangbo, Sung Jun Kim, and Soyean Kim. "Location-Based Tracking Data and Customer Movement Pattern Analysis Using for Sustainable Fashion Business." Sustainability 11, no. 22 (November 6, 2019): 6209. http://dx.doi.org/10.3390/su11226209.

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Retailers need accurate movement pattern analysis of human-tracking data to maximize the space performance of their stores and to improve the sustainability of their business. However, researchers struggle to precisely measure customers’ movement patterns and their relationships with sales. In this research, we adopt indoor positioning technology, including wireless sensor devices and fingerprinting techniques, to track customers’ movement patterns in a fashion retail store over four months. Specifically, we conducted three field experiments in three different timeframes. In each experiment, we rearranged one element of the visual merchandising display (VMD) to track and compare customer movement patterns before and after the rearrangement. For the analysis, we connected customers’ discrete location data to identify meaningful patterns in customers’ movements. We also used customers’ location and time information to match identified movement pattern data with sales data. After classifying individuals’ movements by time and sequences, we found that stay time in a particular zone had a greater impact on sales than the total stay time in the store. These results challenge previous findings in the literature that suggest that the longer customers stayed in a store, the more they purchase. Further, the results confirmed that effective store rearrangement could change not only customer movement patterns but also overall sales of store zones. This research can be a foundation for various practical applications of tracking data technologies.
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7

-, Rino, and Maman Novian. "Analysis of the Application of Customer Purchase Mining Data on Paint Sales Using Apriori Algorithm (Case Study: PT Indowarna Cemerlang Indonesia)." bit-Tech 2, no. 3 (November 9, 2020): 131–40. http://dx.doi.org/10.32877/bt.v2i3.161.

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Анотація:
Sales transaction data is one thing that can be used for making business decisions. Most sales transaction data is not reused, and is only stored as an archive and only used for making a sales report. Paint sales data is one science that can be applied in cases like this. Sales transactions that are not utilized properly can be extracted and reprocessed into useful information using data mining techniques. Using one of the data mining methods, namely the a priori algorithm, sales transaction data can be reprocessed so that it can produce a consumer buying pattern. This consumer buying pattern will later help companies make business decisions. PT Indowarna Cemerlang Indonesia is a company engaged in the paint trade, where the main activity is selling various wall paints, oil / wood paints, NC paints (car paints), epoxy paints (floor paints), depo-proof (anti leaked). PT Indowarna Cemerlang Indonesia does not reuse sales transaction data resulting from its sales activities. This data is only used as a reference for making sales reports and as an archive only, causing accumulation of data and unknown paint brands that are often sold or those that are of interest to customers. Therefore, the author takes the title application of data mining analysis of customer purchase patterns in paint sales using a priori algorithm. By doing this research, it is expected to provide results in the form of information that can be useful for related parties and can design sales strategies to increase company turnover.
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8

Fey, Ferry Putrawansyah. "Application of the Apriori Algorithm to Purchase Patterns." Indonesian Journal of Computer Science 12, no. 2 (April 30, 2023): 553–61. http://dx.doi.org/10.33022/ijcs.v12i2.3105.

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Анотація:
The purpose of this research is to produce an Apriori Algorithm application system to increase sales turnover at Viona stores. The problem faced by the Viona store is that the Viona store has decreased turnover in the midst of business competition because it has not been able to optimally analyze the products that are often purchased and the combination of purchases by consumers so that sales seem monotonous and do not have a business strategy to attract customers. sales that can attract consumers. One way is to make sales with sales packages at lower prices. It must have a good pattern and analysis to be able to combine products into a sales package. However, with the limited ability of Information Technology, in this study a sales application was built that applies the a priori algorithm. This a priori algorithm is very effective in finding the relationship pattern of one or more itemsets in a large data set so that it is effective in calculating a sales transaction data and finding patterns of combinations of consumer habits and being able to quickly create product sales packages. increase sales turnover. The results of the process of applying the a priori algorithm to sales data at the Viona Store through the RapidMiner application are the same as the results applied to the system built and using sales transaction data for the month of May 2022 using a minimum support of 30% and minimum confidence of 30%. So from this study, information was obtained that the items that were often purchased together during this May period were lighters and cigarettes with 100% Confidence. And for the month of June Viona Stores can recommend packages in their store by looking at the results of a combination of 3 items, which are later expected to increase sales turnover at Viona Stores.
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9

Wisda, Wisda, and Mashud Mashud. "Designing an Application for Analyzing Consumer Spending Patterns Using the Frequent Pattern Growth Algorithm." Jurnal Penelitian Pos dan Informatika 9, no. 2 (December 30, 2019): 151. http://dx.doi.org/10.17933/jppi.2019.090206.

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<p class="JGI-AbstractIsi">In this modern era, the market has been growing rapidly which can be seen from the navel shopping that is lined up in the hearts of big cities such as supermarkets, grocery stores and others that are provided to meet people's needs for primary goods that are always needed at all times. One of them is Giant Express Tamalanrea, a supermarket in the city of Makassar that serves the sale of household goods and general needs. With the use of customer data analysis to determine the customers' purchasing patterns, Giant Express can optimize the collation of goods, by positioning goods at closer shelves based on the level of frequency of goods purchased together by customers. Therefore, this study suggests the creation of an application to analyze consumer spending patterns using the frequent pattern growth algorithm method to ensure appropriate placement of goods to increase sales at Giant Express Tamalanrea. The purpose of this study is to develop an application that can analyze consumer spending patterns to increase sales by positioning goods based on consumer shopping patterns, as well as implementing the Frequent Pattern Growth Algorithm method to determine customer spending patterns to increase sales. Stages of research methods conducted begin with data collection at the study site, system requirements analysis, system design with UML, and system testing with the Black Box method.</p>
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Wisda, Wisda, and Mashud Mashud. "Designing an Application for Analyzing Consumer Spending Patterns Using the Frequent Pattern Growth Algorithm." Jurnal Penelitian Pos dan Informatika 9, no. 2 (December 30, 2019): 151–59. http://dx.doi.org/10.17933/jppi.v9i2.285.

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Анотація:
In this modern era, the market has been growing rapidly which can be seen from the navel shopping that is lined up in the hearts of big cities such as supermarkets, grocery stores and others that are provided to meet people's needs for primary goods that are always needed at all times. One of them is Giant Express Tamalanrea, a supermarket in the city of Makassar that serves the sale of household goods and general needs. With the use of customer data analysis to determine the customers' purchasing patterns, Giant Express can optimize the collation of goods, by positioning goods at closer shelves based on the level of frequency of goods purchased together by customers. Therefore, this study suggests the creation of an application to analyze consumer spending patterns using the frequent pattern growth algorithm method to ensure appropriate placement of goods to increase sales at Giant Express Tamalanrea. The purpose of this study is to develop an application that can analyze consumer spending patterns to increase sales by positioning goods based on consumer shopping patterns, as well as implementing the Frequent Pattern Growth Algorithm method to determine customer spending patterns to increase sales. Stages of research methods conducted begin with data collection at the study site, system requirements analysis, system design with UML, and system testing with the Black Box method.
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Дисертації з теми "SALES PATTERN"

1

Lee, Hyun Jong. "THE CONSUMPTION AND SALES PATTERN OF UGLY APPLES IN SOUTH KOREA." UKnowledge, 2018. https://uknowledge.uky.edu/agecon_etds/70.

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Approximately half of all wasted food is fruits and vegetables. One major cause of food waste is abnormal aesthetics; even if it is just as delicious as its normal counterpart. Food with a non-standard appearance (hereafter called ugly food) can be expelled by the markets. To reduce such waste, ugly food campaigns, which were developed in Europe and spread throughout the world, advocate for the consumption of ugly food. To study the problem of ugly food waste, this thesis examines ugly apples, since apples are the most common, representative, and readily accessible fruit. The objective of this thesis is to suggest marketing strategies and actions to facilitate the consumption and sales of ugly apples that can be expanded to other ugly fruits and vegetables. The data used for analysis are obtained from the Rural Development Administration in Korea. The findings of the thesis indicate that younger people and lower-income households are more likely to purchase ugly apples from online markets, non-stores such as food trucks and traditional markets compared with mega-scale discount stores. When advertising ugly apples, food quality should be emphasized rather than price.
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2

Nordström, Kjell A. "The internationalization process of the firm : searching for new patterns and explanations." Doctoral thesis, Handelshögskolan i Stockholm, Institute of International Business (IIB), 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-1651.

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3

Van, der Geer Leonardus Adrianus Maria. "The influence of external stimuli on physicians' prescription patterns." Thesis, University of Surrey, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364837.

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4

Andersson, Karolina. "Swedish pharmaceutical benefit reforms : analyses of implementation, pharmaceutical sales patterns and expenditures /." Göteborg : Department of Public Health and Community Medicine, The Sahlgrenska Academy at Göteborg University, 2006. http://hdl.handle.net/2077/724.

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5

Yassin, Adel Taha. "The Vertical Distribution of Salts in a Soil Profile During the Drainage Process." DigitalCommons@USU, 1986. https://digitalcommons.usu.edu/etd/4642.

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The purpose of this study was to develop a model to predict water extraction patterns and therefore salt distribution patterns in a one dimensional homogeneous soil profile for a specified root distribution . Water extraction was simulated as a function of the total potential and the root density at any level of the profile. Salt redistribution caused by irrigation was simulated by assuming a partial and proportional displacement of the water in each soil layer. A computer program was written for the model in Fortran language and implemented on the Vax. To evaluate the performance of the model, test studies were carried out in the laboratory using two lysimeters and wheat as a crop. A neutron probe and the four-probe electrode method were used to follow the change in the soil moisture and the salinity in the profile during the growing season. Comparisons were made between the measured and simulated values of water content and salinity. Application of the model results and recommendations for further research were suggested to improve the performance of the model.
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6

Badenhorst, Marcha. "Detection of equine herpesvirus -4 and physiological stress patterns in young Thoroughbreds consigned to a South African auction sale." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46265.

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Commingling of horses from various populations, together with physiological stress associated with transport and confinement at a sales complex, may be associated with detection and transmission of equine herpesvirus type-1 (EHV-1) and -4 (EHV-4). This prospective cohort study aimed to investigate the currently undefined prevalence of EHV-1 and -4 in young Thoroughbreds at an auction sale in South Africa, and associations between clinical signs, physiological stress and viral detection. Ninety, two-year old Thoroughbreds (51 colts, 39 fillies) were consigned from eight farms and sampled at a South African auction sale. The horses were monitored for pyrexia and nasal discharge. Nasal swabs were collected for quantitative polymerase chain reaction (qPCR) assay to detect EHV-1 and -4 and faecal samples were collected for enzyme immunoassay (EIA) to determine faecal glucocorticoid metabolite (FGM) concentrations. EHV-4 nucleic acid was detected in some and EHV-1 nucleic acid in none of the population. Pyrexia and nasal discharge were poor indicators of EHV-4 status. Variation in FGM concentrations was best explained by transportation and preparation for auction. Peaks in EHV-4 detection and increases in FGM concentrations were identified shortly post-arrival and on the first day of auction. Temporal changes in FGM concentrations of horses from individual farms showed two distinct patterns: Pattern A (biphasic peaks) and Pattern B (single peak). It was concluded that sales consignment was associated with some EHV-4 nucleic acid detection and distinctive physiological stress patterns in this population of young Thoroughbreds.
Dissertation (MSc)--University of Pretoria, 2014.
tm2015
Companion Animal Clinical Studies
MSc
Unrestricted
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7

Palmer, Richard. "Historical patterns of globalization : the growth of outward linkages of Swedish long-standing transnational corporations, 1890s-1990s." Doctoral thesis, Stockholms universitet, Ekonomisk-historiska institutionen, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-72265.

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The study addresses the outward cross-border linking of the Swedish economy and its most important transnational corporations during the 20th century. It explores the aggregate level of Swedish industry, and most importantly, the firm level of a group of eight long-standing transnational corporations, which during the post-1945 period represented roughly half of Sweden’s foreign industrial activity in terms of employment, e.g., Alfa Laval, ASEA, Ericsson, Sandvik, SKF, AGA, Electrolux and Atlas Copco. Since most of these corporations existed already a century ago it was possible to explore their historical trajectories within the general process of globalization. Hence, the study contributes to the testing of the globalization thesis with a small, open, developed economy as the point of reference. Based on aggregate national data and data on levels of foreign activity of Swedish transnational corporations the study presents a phase model of globalization, identifying first an ‘initial phase’ of globalization from ca 1871 to 1929, second a ‘stagnation phase’ (1930-1949), then a third ‘expansion phase’ (1950-1979) and finally, a ‘highlight of globalization’ phase, beginning in 1980 and continuing into the 21st century. In order to gain deeper insights into the historical process of Sweden’s outward economic linking it then looked in more detail at the eight firms mentioned above. Employing a quantitative formal model of foreign corporate activity, the study focusses on changes in the relative magnitude of foreign employment and sales (‘intensity’) and on the geographical distribution of foreign subsidiaries (‘extensity’). The two former categories are combined into an ‘index of transnationality’, which serves as a principal analytical tool for uncovering long-term change. The study concludes that for Swedish industry and its largest transnational corporations the term globalization represents more of a historical, continuous long-term trend than an exclusively contemporary development. In fact, the only period in time when we see a general stagnation in the positive trends was 1930-1945. Moreover, the study found at least two periods of rapid outward linking on the part of some of the most important Swedish corporations, apart from the current one, that is, the decade and a half preceding World War I and the 1960s. Nevertheless, levels of relative magnitude of activity abroad and of geographical spread attained by Swedish industry and its transnational corporations during the last two decades, were in many respects unprecedented. Findings on the variations in the actual pace of globalization during the whole 20th century demonstrated firstly, that positive change in geographical spread of the group of long-standing transnational corporations proceeded at an increasing pace when calculated in absolute terms. For the 1960-1999 period, the existence of positive long-term trends in the magnitude of both foreign sales and foreign employment were discovered. Also, there was an acceleration of the pace at which foreign sales increased over time, when calculated in absolute terms.
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Owen, Mary Elizabeth. "THREE INDIANA WOMEN'S CLUBS: A STUDY OF THEIR PATTERNS OF ASSOCIATION, STUDY PRACTICES, AND CIVIC IMPROVEMENT WORK, 1886-1910." Thesis, Connect to resource online, 2008. http://hdl.handle.net/1805/1636.

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Thesis (M.A.)--Indiana University, 2008.
Title from screen (viewed on July 8, 2008). Department of History, Indiana University-Purdue University Indianapolis (IUPUI). Advisor(s): Robert G. Barrows, Nancy Marie Robertson, Marianne S. Wokeck. Includes vitae. Includes bibliographical references (leaves 166-172).
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9

Заверчук, Віталій Васильович, та Vitaliy Zaverchuk. "Дослідження алгоритмічного та програмного забезпечення роботи високонавантажених CRM систем". Thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2017. http://elartu.tntu.edu.ua/handle/123456789/19010.

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Анотація:
Дипломна робота на здобуття освітнього ступеня магістра 8.05010201 - Комп’ютерні системи та мережі. - Тернопільський національний технічний університет імені Івана Пулюя, Тернопіль 2017. Дипломна робота магістра присвячена дослідженню методів удосконалення процесу розробки і покращення архітектури високонавантажених CRM систем. В даній роботі розглянуто класифікацію сучасних CRM систем та їх основні компоненти. Удосконалення полягає у розробці рішення для побудови архітектури CRM системи з використанням технології черг платформи Microsoft Azure, яка дозволяє збільшити продуктивність і масштабованість системи на усіх рівнях. Також проаналізовано і проведено класифікацію методів та практик призначених для розробки високонавантажених та сервісорієнтованих CRM систем. Було досліджено шаблони проектування, які дозволяють пришвидшити розробку і покращити якість CRM системи.
The diploma paper for obtaining the Master’s degree 8.05010201 - Computer systems and networks - Ternopil Ivan Puluj National Technical University, Ternopil 2017. The diploma paper is devoted to the analysis of algorithms and software of high-loaded CRM systems operation. Classification of modern CRM systems and review of their main components were made during this research. Improvements related to this research are based on development of solution for the CRM system architecture using the queues technology of Microsoft Azure platform, which can increase the performance and scalability of the system at all levels. Analyzed and provided classification of methods and practices designed to develop high-loaded and service oriented CRM systems. Investigated design patterns that allow to speed up development and improve the quality of the CRM system.
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10

Hunter, Brandon. "Channel Probing for an Indoor Wireless Communications Channel." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/64.

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The statistics of the amplitude, time and angle of arrival of multipaths in an indoor environment are all necessary components of multipath models used to simulate the performance of spatial diversity in receive antenna configurations. The model presented by Saleh and Valenzuela, was added to by Spencer et. al., and included all three of these parameters for a 7 GHz channel. A system was built to measure these multipath parameters at 2.4 GHz for multiple locations in an indoor environment. Another system was built to measure the angle of transmission for a 6 GHz channel. The addition of this parameter allows spatial diversity at the transmitter along with the receiver to be simulated. The process of going from raw measurement data to discrete arrivals and then to clustered arrivals is analyzed. Many possible errors associated with discrete arrival processing are discussed along with possible solutions. Four clustering methods are compared and their relative strengths and weaknesses are pointed out. The effects that errors in the clustering process have on parameter estimation and model performance are also simulated.
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Книги з теми "SALES PATTERN"

1

State Bar of Texas. Committee on Pattern Jury Charges., ed. Texas pattern jury charges--business, consumer, employment. Austin: State Bar of Texas, 1997.

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2

McAlister, Leigh. The impact of price promotions on a brand's market share, sales pattern and profitability. Cambridge, Mass: Marketing Science Institute, 1986.

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3

McAlister, Leigh. The impact of price promotions on a brand's market share, sales pattern and profitability. Cambridge, Mass: Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1985.

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4

Les sales bêtes. Toulouse: Milan jeunesse, 2006.

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5

Prastacos, Poulicos. Changing patterns in retail trade: Taxable sales in the San Francisco Bay Area, 1966-1986. Oakland, Calif: Association of Bay Area Governments, 1988.

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6

Association of Bay Area Governments., ed. Changing patterns in retail trade: Taxable sales in the San Francisco Bay Area, 1970-1989. Oakland, Calif: Association of Bay Area Governments, 1991.

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7

Association of Bay Area Governments. Center for Analysis and Information Services., ed. Changing patterns in retail trade: Taxable sales in the San Francisco Bay Area, 1970-1993. Oakland, Calif: Association of Bay Area Governments, 1995.

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8

Ryski, Mark. When retail customers count: How understanding customer traffic patterns can help good retailers become great retailers. Bloomington, Ind: AuthorHouse, 2005.

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Potkanski, Tomasz. Property concepts, herding patterns and management of natural resources among the Ngorongoro and Salei Maasai ofTanzania. London: International Institute for Environment and Development, 1994.

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Potkanski, Tomasz. Property concepts, herding patterns and management of natural resources among the Ngorongoro and Salei Maasai of Tanzania. London: IIED, 1994.

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Частини книг з теми "SALES PATTERN"

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Malshe, Avinash, Ravipreet Sohi, and Michael Krush. "A Motley Pattern Of Sales-marketing Integration." In The Customer is NOT Always Right? Marketing Orientationsin a Dynamic Business World, 718–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50008-9_194.

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McKenna, Ricky. "Turn Right—Conversation Starter with Pattern Interruption." In The Sales Sat Nav for Media Consultants, 25–45. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40734-6_2.

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Kodali, Sadhana, Madhavi Dabbiru, and B. Thirumala Rao. "A Q-Learning Approach for Sales Prediction in Heterogeneous Information Networks." In Computational Intelligence in Pattern Recognition, 843–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9042-5_72.

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Dombrowski, Uwe, and Constantin Malorny. "Lean After Sales Service – An Opportunity for OEMs to Ensure Profits." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 618–25. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-662-44736-9_75.

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Indrasari, Devira Ailen, and Firly Annisa. "Shopee Affiliates: How is the Pattern of Using Hashtags on Twitter in Promoting Sales Products." In Social Computing and Social Media, 520–29. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35915-6_37.

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Ye, Fei, and J. Eskenazi. "Sales Forecast Using a Hybrid Learning Method Based on Stable Seasonal Pattern and Support Vector Regression." In Emerging Technologies for Information Systems, Computing, and Management, 1251–59. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7010-6_139.

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Downard, Alison J., Andrew J. Gross, and Bradley M. Simons. "Patterned Molecular Layers on Surfaces." In Aryl Diazonium Salts, 53–69. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527650446.ch3.

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Angell, C. Austen. "Ionic Liquids in the Temperature Range 150-1500 K: Patterns and Problems." In Molten Salts and Ionic Liquids, 1–24. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9780470947777.ch1.

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Oberkircher, Lisa, Anna Haubold, Christopher Martius, and Tillmann K. Buttschardt. "Water Patterns in the Landscape of Khorezm, Uzbekistan: A GIS Approach to Socio-Physical Research." In Cotton, Water, Salts and Soums, 285–307. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1963-7_18.

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Kitkowska, Agnieszka. "The Hows and Whys of Dark Patterns: Categorizations and Privacy." In Human Factors in Privacy Research, 173–98. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28643-8_9.

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AbstractWhen people interact with digital technologies, their choices are often driven in a specific direction, mainly through user interface designs—e.g., specific layout or content. Such guiding practices might be useful. They may help find desired information quicker or proceed with a given task more efficiently. Ultimately, they may contribute to improved usability and satisfaction that users experience during the interaction. However, some of such designs can mislead, manipulate, or trick users into choices that are beneficial to service providers but not necessarily to users. These designs are known as dark patterns, and their success relies on psychological characteristics, particularly exploiting decision-making processes’ weaknesses. The applicability of dark patterns is traditionally associated with e-commerce or marketing strategies aiming to increase sales. However, research shows that dark patterns also extend to online privacy, resulting in harms reaching beyond economic loss and exploiting the vulnerabilities of individuals. This chapter reviews research on dark patterns and explains some of the psychological bases that dark patterns rely on. The chapter focuses on privacy issues and discusses possible ways of preventing the detrimental effects of dark patterns, including their effects on business.
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Тези доповідей конференцій з теми "SALES PATTERN"

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Yagi, K., Mai Soramoto, M. Mokuda, and Y. Morimoto. "Optimized Sequential Pattern Mining from Point Of Sales Data." In 21st International Conference on Data Engineering Workshops (ICDEW'05). IEEE, 2005. http://dx.doi.org/10.1109/icde.2005.257.

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Mawadati, A., A. Emaputra, and K. A. Sekarjati. "Sales pattern identification for marketing strategies using data mining." In PROCEEDINGS OF THE 11TH INTERNATIONAL ADVANCES IN APPLIED PHYSICS AND MATERIALS SCIENCE CONGRESS & EXHIBITION. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0110098.

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Aras, Gizem, Gülşah Ayhan, Mehmet Sarikaya, A. Tokuç, and C. Sakar. "Forecasting Hotel Room Sales within Online Travel Agencies by Combining Multiple Feature Sets." In 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007383205650573.

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Jiwei, Xiao, Wu Yaohua, Wang Qian, Liao Li, and Hu Hongchun. "A Hybrid Sales Forecasting Method Based on Stable Seasonal Pattern Models and BPNN." In 2007 IEEE International Conference on Automation and Logistics. IEEE, 2007. http://dx.doi.org/10.1109/ical.2007.4339070.

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Feng, Rongqiang, Jing Hu, Guodong Jiang, Chenxi Huang, Wei Tang, Lei Zhao, Kun Zhang, Xiaoming Huang, and Weiting Zhu. "Recommendation Pattern of Electricity Sales Package based on Improved Clustering and Spark Framework." In 2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA). IEEE, 2022. http://dx.doi.org/10.1109/aeeca55500.2022.9918847.

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Sicilia-Rodriguez, J., J. Febles-Acosta, and M. Gonzalez-De la Rosa. "Efficient policies for an inventory system with power demand pattern and mixture of backorders and lost sales." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009). IEEE, 2009. http://dx.doi.org/10.1109/ieem.2009.5373157.

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Lu, Alex, Thomas Marchwinski, Robert Culhane, and Xiaojing Wei. "Estimation of Pre-COVID19 Daily Ridership Patterns From Paper and Electronic Ticket Sales Data With Origin-Destination, Time-Of-Day, and Train-Start Detail on a Commuter Railroad: Quick-Response Big Data Analytics in a World Steeped With Tradition." In 2021 Joint Rail Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/jrc2021-59109.

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Abstract Our niche method independently estimates hourly commuter rail station-to-station origin-destination (OD) matrix data each day from ticket sales and activation data from four sales channels (paper/mobile tickets, mail order, and onboard sales) by extending well-established transportation modelling methodologies. This algorithm’s features include: (1) handles multi-pack pay-per-ride fare instruments not requiring electronic validation, like ten-trip paper tickets “punched” onboard by railroad conductors; (2) correctly infers directionality for direction-agnostic ticket-types; (3) estimates unlimited ride ticket utilization patterns sufficiently precisely to inform vehicle assignment/scheduling; (4) provides integer outputs without allowing rounding to affect control totals nor introduce artifacts; (5) deals gracefully with cliff-edge changes in demand, like the COVID19 related lockdown; and (6) allocates hourly traffic to each train-start based on passenger choice. Our core idea is that the time of ticket usage is ultimately a function of the time of sale and ticket type, and mutual transformation is made via probability density functions (“patterns”) given sufficient distribution data. We generated pre-COVID daily OD matrices and will eventually extend this work to post-COVID inputs. Results were provided to operations planners using visual and tabular interfaces. These matrices represent data never previously available by any method; prior OD surveys required 100,000 respondents, and even then could neither provide daily nor hourly levels of detail, and could not monitor special event ridership nor specific seasonal travel such as summer Friday afternoons.
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Moon, Geun Chol, Go Kikuta, Takashi Yamada, Atsushi Yoshikawa, and Takao Terano. "Categorization of sales patterns to use blog information as book sales prediction." In the 12th International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/2389376.2389378.

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Jiang, Xiaomo, and Craig Foster. "Remote Thermal Performance Monitoring and Diagnostics: Turning Data Into Knowledge." In ASME 2013 Power Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/power2013-98246.

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Gas turbine simple or combined cycle plants are built and operated with higher availability, reliability, and performance in order to provide the customer with sufficient operating revenues and reduced fuel costs meanwhile enhancing customer dispatch competitiveness. A tremendous amount of operational data is usually collected from the everyday operation of a power plant. It has become an increasingly important but challenging issue about how to turn this data into knowledge and further solutions via developing advanced state-of-the-art analytics. This paper presents an integrated system and methodology to pursue this purpose by automating multi-level, multi-paradigm, multi-facet performance monitoring and anomaly detection for heavy duty gas turbines. The system provides an intelligent platform to drive site-specific performance improvements, mitigate outage risk, rationalize operational pattern, and enhance maintenance schedule and service offerings via taking appropriate proactive actions. In addition, the paper also presents the components in the system, including data sensing, hardware, and operational anomaly detection, expertise proactive act of company, site specific degradation assessment, and water wash effectiveness monitoring and analytics. As demonstrated in two examples, this remote performance monitoring aims to improve equipment efficiency by converting data into knowledge and solutions in order to drive value for customers including lowering operating fuel cost and increasing customer power sales and life cycle value.
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D. E. Melchioretto †, Anderson, and Rafael B. Martins. "Mineração de Dados para Identificar Aspectos que Influenciam o Desempenho nas Vendas de Produtos em uma Indústria de Confecção Do Vestuário." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2022. http://dx.doi.org/10.14210/cotb.v13.p290-292.

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In garment industry, the production process is composed of severalsteps, starting with product development, production until itreaches the customer. All these processes generate a large volumeof data, about products, customers, sales, among others. The lackof knowledge about this data generated in the companies, cangenerate problems such as product returns and consequently theloss of customers. The application of data mining (DM) tasks canextract hidden patterns from this data. In this context, DMtechniques following Knowledge Discovery in Database (KDD)steps were used to identify patterns that may influence productsales performance in an apparel manufacturing industry. Thedataset considered were composed of 31 attributes, aboutcustomers, products, sales, from the years 2018 through 2020. Themain results of this analysis identified the attributes that mostinfluence product sales, which are: “product line”, “quota item”,“customer code”, and “tax coupon number”.
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Звіти організацій з теми "SALES PATTERN"

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Cusato, Antonio, and Jose Luis Castillo. Access to Credit and the Expansion of Broadband Internet in Peru. Inter-American Development Bank, June 2023. http://dx.doi.org/10.18235/0004959.

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We exploit the staggered expansion of the internet broadband network to firms and bank branches locations in Peru during the last decade to study non-financial firm performance and bank credit dynamics. Access to broadband unleashes firm growth, increases the chances of entry of firms and reduces the probability of exit in benefited locations. For those firms that had a borrowing relation with a bank before the expansion of broadband, the increase in sales serves as a signal to banks about their profitability, which in turn respond by providing more credit. Entry and exit from the credit market follows a similar pattern as in the case of firms, but the results take longer to materialize after the shock. We can disentangle supply and demand effects, since there is a group of firms and bank branches with different locations and asymmetrical timing for the availability of the technology. Our analysis highlights the importance of the demand channel in the reduction of the observed interest rates, which is consistent with the fact that our credit market results are concentrated among micro and small firms, and firms with thin credit files, which are often perceived as riskier.
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Baldwin, Richard, and Toshihiro Okubo. Networked FDI: Sales and Sourcing Patterns of Japanese Foreign Affiliates. Cambridge, MA: National Bureau of Economic Research, May 2012. http://dx.doi.org/10.3386/w18083.

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Aitken, Murray, Ernst Berndt, Barry Bosworth, Iain Cockburn, Richard Frank, Michael Kleinrock, and Bradley Shapiro. The Regulation of Prescription Drug Competition and Market Responses: Patterns in Prices and Sales Following Loss of Exclusivity. Cambridge, MA: National Bureau of Economic Research, October 2013. http://dx.doi.org/10.3386/w19487.

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Agrawal, Asha Weinstein, Serena Alexander, and Ashley M. Hooper. Understanding COVID-19’s Impact on Local Transportation Revenue –A Mid-Crisis View from Experts. Mineta Transportation Institute, October 2022. http://dx.doi.org/10.31979/mti.2022.1938b.

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When COVID-19 swept into the United States in early 2020, it upended two patterns of behavior critical to transportation funding: how people traveled and where economic activity occurred. This study explored how, one year into the pandemic, experts in California believed that the COVID-19 pandemic was impacting local transportation budgets. We interviewed 34 funding experts who represented local transportation and public works departments, state officials, and municipal finance experts. In these conversations, conducted from December 2020 to March 2021, we asked interviewees how they saw COVID-19 impacting their overall local transportation budgets in the short and long term as well as which specific revenue sources were particularly effected. Key findings were as follows: the transportation revenue impacts from COVID-19 varied greatly by place, mode, and type of local government; public transit was the mode that experienced the most drastic change in transportation revenues; federal coronavirus relief funds allowed essential services to continue through the pandemic; the shift to telework had an enormous impact on transportation budgets by changing the location of taxable activities and thus reallocating revenue differently across local jurisdictions; and COVID-19 spotlighted long-term challenges with both motor fuel taxes and the distribution of sales tax from online purchases.
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Rinkevich, Baruch, and Cynthia Hunter. Inland mariculture of reef corals amenable for the ornamental trade. United States Department of Agriculture, January 2006. http://dx.doi.org/10.32747/2006.7695880.bard.

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The worldwide market for ornamental saltwater invertebrates supplies the needs of millions of aquarium hobbyists, public exhibitions (i.e., zoos) universities and research institutions. With respect to reef building corals, it is estimated that more than half a million coral colonies/year from a total 93 genera, were exported globally during the period of 1985-1997. International value of retail sale of live coral trade alone is estimated as $78 million in 1997 (not including the illegally, widely smuggled material). The continuous, large-scale collection of marine organisms is responsible, in many places, for the destruction of coral reefs. The expected expansion of the trade further threatens these fragile habitats. While no true captive-bred corals are commercially available, our long-term goal is to develop ex situ inland farming of coral colonies that will circumvent the need for in situ collections and will provide domesticated specimens for the trade and for research. We simultaneously studied two model branching coral species, Stylophora pistillata (Pocilloporidae; in Israel) and Porites (Poritidae; in the US). The proposal included three specific aims: (a) To develop protocols for nubbins (small fragments, down to the size of a single polyp) usage in coral farming;(b) To address the significance of colony pattern formation to the coral trade; and (c) To develop the protocols of using nubbins in physiological and ecotoxicological assays (using oil dispersants, the expression of the stress protein HSP-70, household detergents, etc.). Ten scientific publications (published manuscripts, accepted for publications, submitted to scientific journals, in preparation), revealing results that were related to all three specific aims, originated from this BARD proposal. As a result of the work supported by the BARD, we have now, in hand, original and improved protocols for coral maintenance ex situ, proven expertise on manipulating coral colonies’ pattern formation and biological knowledge on island mariculture of reef corals (from Hawaii and from the Red Sea) amenable for the ornamental trade (for public and private aquaria use, for experimentation). At least one Israeli company (Red Sea Corals, Ltd., KibbutzSaar) is using our methodologies for further developing this new mariculture sector. We are now in the process of introducing the rationale and methodologies to Hawaiian private entities to expand dissemination of the research outcomes.
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Bernad, Ludovic, Yves Nsengiyumva, Benjamin Byinshi, Naphtal Hakizimana, and Fabrizio Santoro. Digital Merchant Payments as a Medium of Tax Compliance. Institute of Development Studies, March 2023. http://dx.doi.org/10.19088/ictd.2023.011.

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Consumers in Africa increasingly pay for their purchases through mobile money, especially since the pandemic. These transactions are known as digital merchant payments. Rwandan consumers can choose between using standard mobile money services or a specific service only for digital merchant payments – MoMo Pay. Digital payments of any kind have the potential to improve tax compliance, because they imply digital data trails and better record keeping. How far is this potential being realised in Rwanda? In collaboration with the Rwanda Revenue Authority, we collected survey data from 1,100 merchants country-wide and were able to correlate this with tax administrative data, i.e. the tax records of the interviewees held by the revenue authority. We also conducted focus group discussions with 15 merchants. We found that the great majority of payments are still made in cash. Larger, more knowledgeable and financially included merchants opt for MoMo Pay as opposed to standard mobile money, the latter being preferred by female and less educated and equipped merchants. At the start of the pandemic, in March 2020, for a period of 18 months, all fees on MoMo Pay transactions were waived to foster digital payments through the service. In September 2021, fees were then reintroduced. The waiver led to a significant rise in the use of MoMo Pay relative to cash. When the MoMo Pay fee was reintroduced, there was a significant shift back to cash from both MoMo Pay and standard mobile money services, even if the latter were not affected by the fee. Lastly, we measure whether the adoption of digital payments correlates with merchants’ tax perceptions and compliance behaviour. First, we show that merchants using MoMo Pay tend to disagree with the obligation of paying taxes in order to receive public services, a measure of fiscal reciprocity. Such negative correlation is probably due to the fee imposed on MoMo Pay. Furthermore, standard mobile money usage improves the perceived ease of complying with taxes, while that is not the case for MoMo Pay. Again, the fact that fees on MoMo Pay are not clearly identifiable in MoMo Pay statements complicates merchants’ reporting and reconciliation of their activity for tax purposes. When it comes to compliance behaviour with VAT, the adoption of digital payments by merchants only improves their reported VAT sales and inputs, and only in the short term, while final VAT liability does not change. This hints at perverse compensating strategies to avoid taxes. We recommend that the tax administration better understand the adoption patterns of digital payments and incentivise usage among less equipped categories of taxpayers. The tax administration would also benefit from getting access to mobile money data to better monitor and enforce merchants’ compliance.
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Ashley, Caitlyn, Elizabeth Spencer Berthiaume, Philip Berzin, Rikki Blassingame, Stephanie Bradley Fryer, John Cox, E. Samuel Crecelius, et al. Law and Policy Resource Guide: A Survey of Eminent Domain Law in Texas and the Nation. Edited by Gabriel Eckstein. Texas A&M University School of Law Program in Natural Resources Systems, 2017. http://dx.doi.org/10.37419/eenrs.eminentdomainguide.

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Eminent Domain is the power of the government or quasi-government entities to take private or public property interests through condemnation. Eminent Domain has been a significant issue since 1879 when, in the case of Boom Company v. Patterson, the Supreme Court first acknowledged that the power of eminent domain may be delegated by state legislatures to agencies and non-governmental entities. Thus, the era of legal takings began. Though an important legal dispute then, more recently eminent domain has blossomed into an enduring contentious social and political problem throughout the United States. The Fifth Amendment to the United States Constitution states, “nor shall private property be taken for public use, without just compensation.” Thus, in the wake of the now infamous decision in Kelo v. City of New London, where the Court upheld the taking of private property for purely economic benefit as a “public use,” the requirement of “just compensation” stands as the primary defender of constitutionally protected liberty under the federal constitution. In response to Kelo, many state legislatures passed a variety of eminent domain reforms specifically tailoring what qualifies as a public use and how just compensation should be calculated. Texas landowners recognize that the state’s population is growing at a rapid pace. There is an increasing need for more land and resources such as energy and transportation. But, private property rights are equally important, especially in Texas, and must be protected as well. Eminent domain and the condemnation process is not a willing buyer and willing seller transition; it is a legally forced sale. Therefore, it is necessary to consider further improvements to the laws that govern the use of eminent domain so Texas landowners can have more assurance that this process is fair and respectful of their private property rights when they are forced to relinquish their land. This report compiles statutes and information from the other forty-nine states to illustrate how they address key eminent domain issues. Further, this report endeavors to provide a neutral third voice in Texas to strike a more appropriate balance between individual’s property rights and the need for increased economic development. This report breaks down eminent domain into seven major topics that, in addition to Texas, seemed to be similar in many of the other states. These categories are: (1) Awarding of Attorneys’ Fee; (2) Compensation and Valuation; (3) Procedure Prior to Suit; (4) Condemnation Procedure; (5) What Cannot be Condemned; (6) Public Use & Authority to Condemn; and (7) Abandonment. In analyzing these seven categories, this report does not seek to advance a particular interest but only to provide information on how Texas law differs from other states. This report lays out trends seen across other states that are either similar or dissimilar to Texas, and additionally, discusses interesting and unique laws employed by other states that may be of interest to Texas policy makers. Our research found three dominant categories which tend to be major issues across the country: (1) the awarding of attorneys’ fees; (2) the valuation and measurement of just compensation; and (3) procedure prior to suit.
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Changes in chloride concentrations, mixing patterns, and stratification characteristics of Irondequoit Bay, Monroe County, New York, after decreased use of road-deicing salts, 1974-1984. US Geological Survey, 1989. http://dx.doi.org/10.3133/wri874223.

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The female condom: Dynamics of use in urban Zimbabwe. Population Council, 2002. http://dx.doi.org/10.31899/hiv2002.1001.

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In July 1997, Population Services International (PSI), at the request of the Zimbabwe National AIDS Coordination Programme, launched a social marketing program for the female condom in Zimbabwe. The campaign's intended audience was women in long-term relationships. To avoid the stigma associated with condoms and the prevention of sexually transmitted infections, PSI marketed the female condom as a family planning product under the brand name Care™. Approximately one year after the start of the female condom social marketing campaign, the Horizons Program and PSI conducted a descriptive, cross-sectional study of female condom users, male condom users, and nonusers of either barrier method. At the time of the study, the female condom was being marketed in urban Zimbabwe through radio, TV, and print media, and sold through selected sales outlets, including pharmacies, large supermarkets, and convenience stores at a subsidized price. As stated in this brief, the goal of this research was to increase understanding of the patterns and dynamics of female condom use to inform policymakers and program planners involved in decisions about promotion and distribution of the female condom in Zimbabwe.
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