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Dissertations / Theses on the topic 'Sales forecasting'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

SESKAUSKIS, ZYGIMANTAS, and ROKAS NARKEVICIUS. "Sales forecasting management." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10685.

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The purpose of this research is to investigate current company business process from sales forecasting perspective and provide potential improvements of how to deal with unstable market demand and increase overall precision of forecasting. The problem which company face is an unstable market demand and not enough precision in sales forecasting process. Therefore the research questions are:  How current forecasting process can be improved?  What methods, can be implemented in order to increase the precision of forecasting? Study can be described as an action research using an abductive approa

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Laxmidhar, Mohammad, and Dnyanesh Sarang. "Exploratory Investigation of Sales Forecasting Process and Sales Forecasting System : Case Study of Three Companies." Thesis, Jönköping University, JIBS, Business Administration, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-718.

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<p>The future has always caught the attention of the human being. The thirst of exploring the future and to know the unknown has driven the human being toward innovativeness.</p><p>Companies are expanding their operations worldwide since the past few decades. Profit growth coupled with an effective strategy has become the primary need of global companies. Research in this area has given rise to optimization of the supply chain for higher profitability. Considering the overall strategy the company needs to plan production well in advance. The operational planning comes in picture at this moment

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Besharat, Pour Shiva. "Hierarchical sales forecasting using Recurrent Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290892.

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Sales forecasting equips businesses with the essential basis for planning future investments, controlling costs, and production. This research is in cooperation with a property development company for the purpose of improving the accuracy of manual sales forecasting. The objective is to investigate the effects of using the underlying factors that affect the individual sales of the company in forecasting the company’s income. One approach uses an aggregation of the estimates of the individual sales to approximate the company’s income. This approach uses the underlying hierarchical factors of th

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Fredén, Daniel, and Hampus Larsson. "Forecasting Daily Supermarkets Sales with Machine Learning." Thesis, KTH, Optimeringslära och systemteori, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276483.

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Improved sales forecasts for individual products in retail stores can have a positive effect both environmentally and economically. Historically these forecasts have been done through a combination of statistical measurements and experience. However, with the increased computational power available in modern computers, there has been an interest in applying machine learning for this problem. The aim of this thesis was to utilize two years of sales data, yearly calendar events, and weather data to investigate which machine learning method could forecast sales the best. The investigated methods

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Zbib, Imad J. (Imad Jamil). "Sales Forecasting Accuracy Over Time: An Empirical Investigation." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc332526/.

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This study investigated forecasting accuracy over time. Several quantitative and qualitative forecasting models were tested and a number of combinational methods was investigated. Six time series methods, one causal model, and one subjective technique were compared in this study. Six combinational forecasts were generated and compared to individual forecasts. A combining technique was developed. Thirty data sets, obtained from a market leader in the cosmetics industry, were used to forecast sales. All series represent monthly sales from January 1985 to December 1989. Gross sales forecasts from

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Renner, Nancy A. (Nancy Ann). "Forecasting Quarterly Sales Tax Revenues: A Comparative Study." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc501220/.

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The purpose of this study is to determine which of three forecasting methods provides the most accurate short-term forecasts, in terms of absolute and mean absolute percentage error, for a unique set of data. The study applies three forecasting techniques--the Box-Jenkins or ARIMA method, cycle regression analysis, and multiple regression analysis--to quarterly sales tax revenue data. The final results show that, with varying success, each model identifies the direction of change in the future, but does not closely identify the period to period fluctuations. Indeed, each model overestimated re

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Jessen, Andreas, and Carina Kellner. "Forecasting Management." Thesis, University of Kalmar, Baltic Business School, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-1868.

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<p>In a world that is moving faster and faster, a company’s ability to align to market changes is becoming a major competitive factor. Forecasting enables companies to predict what lies ahead, e.g. trend shifts or market turns, and makes it possible to plan for it. But looking into the future is never an easy task.</p><p>“Prediction is very difficult, especially if it’s about the future.” (Niels Bohr, 1885-1962)</p><p>However, progress in the field of forecasting has shown that it is possible for companies to improve on forecasting practices. This master thesis looks at the sales forecasting p

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Postiglioni, Renato. "Sales forecasting within a cosmetic organisation : a managerial approach." Thesis, Stellenbosch : Stellenbosch University, 2006. http://hdl.handle.net/10019.1/21980.

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Thesis (MBA)--Stellenbosch University, 2006.<br>Although most businesses require accurate sales forecasts in order to survive and to be successful, very little attention has been devoted to examine how sales forecasting processes should be managed, and the behavioural factors associated with the management of forecasting. Sales forecasting activities and research have by and large concentrated on the techniques or on the systems used, rather than on the forecasting management philosophy, which considers the organisational, procedural, and personnel aspects of the process. Both forecast

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Jedeikin, Jonathan. "An adaptive agent architecture for exogenous data sales forecasting." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/6403.

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Includes bibliographical references (leaves 108-111).<br>In a world of unpredictability and complexity, sales forecasting is becoming recognised as essential to operations planning in business and industry. With increased globalisation and higher competition, more products are being developed at more locations, but with shorter product lifecycles. As technology improves, more sophisticated sales forecasting systems are developed which require increasing complexity. We tum to adaptive agent architectures to consider an alternative approach for modelling complex sales forecasting systems. This r

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Hood, Nicholas Andrew. "Evaluating alternative methods for forecasting convenience grocery store sales." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16281/.

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Convenience grocery stores have become more commonplace in grocery retailing in Great Britain since the 1990s, with a substantial increase in the proportion of stores operated by the largest grocery retailers in Great Britain that can be defined as convenience grocery stores. Geographically, the convenience networks operated by the largest retailers are more spatially concentrated than their overall grocery networks bringing them into direct competition with retailers more traditionally associated with convenience retailing in some, but not all areas of Great Britain. As convenience stores hav

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Yenilmez-Dramali, Demet. "Moderating effect of forecasting methods between forecasting criteria and export sales forecasting effectiveness : an empirical model for UK organizations." Thesis, Kingston University, 2013. http://eprints.kingston.ac.uk/26591/.

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Over the last three decades important advances have been made in developing sales forecasting methods that more accurately reflect market place conditions. However, surveys of sales forecasting practice continue to report only marginal gains in sales forecasting effectiveness. This gap between theory and practice has been identified as a significant issue for sales forecasting research. The literature suggests that this gap should be addressed by examining new factors in sales forecasting. Accuracy, bias, timeliness, cost and environmental turbulence are the most studied forecasting criteria i

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Bajracharya, Dinesh. "Econometric Modeling vs Artificial Neural Networks : A Sales Forecasting Comparison." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20400.

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Econometric and predictive modeling techniques are two popular forecasting techniques. Both ofthese techniques have their own advantages and disadvantages. In this thesis some econometricmodels are considered and compared to predictive models using sales data for five products fromICA a Swedish retail wholesaler. The econometric models considered are regression model,exponential smoothing, and ARIMA model. The predictive models considered are artificialneural network (ANN) and ensemble of neural networks. Evaluation metrics used for thecomparison are: MAPE, WMAPE, MAE, RMSE, and linear correla

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Bally, Cortney. "Commodity pork price forecasting for Hormel fresh pork sales team." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/19762.

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Master of Agribusiness<br>Department of Agricultural Economics<br>Glynn Tonsor<br>To remain competitive in an ever changing pork industry, Hormel Foods required careful evaluation of advertising forecast accuracy. This study determines forecasting accuracy for bone-in loins, boneless loins, butts, and ribs pricing within Hormel Foods and determines the relationship between forecast horizon (how many weeks forward in pricing) and forecasting accuracy of these products. The challenge required the data collection of the advertising pricing quotes for the sale price in comparison to the forecasted

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Alsterman, Marcus. "Transfer Learning for Sales Volume Forecasting Using Convolutional Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255007.

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Improved time series forecasting accuracy can enhance demand planning, and therefore save money and reduce environmental impact. The idea behind this degree project is to explore transfer learning for time series forecasting. This has boiled down to two concrete goals. The first one is to examine if transfer learning can improve the forecasting accuracy when using a convolutional neural network (CNN) with dilated causal convolutions. The second goal is to investigate whether transfer learning makes it possible to forecast time series with less historical data.In this project, time series descr

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Venishetty, Sai Vineeth. "Machine Learning Approach for Forecasting the Sales of Truck Components." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18812.

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Context: The context of this research is to forecast the sales of truck componentsusing machine learning algorithms which can help the organization in activity oftrade and business and it also plays a major role for firms in decision-making operationsin the areas corresponding to sales, production, purchasing, finance, and accounting. Objectives: This study first investigates to find the suitable machine learning algorithmsthat can be used to forecast the sales of truck components and then theexperiment is performed with the chosen algorithms to forecast the sales and to evaluatethe performanc

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Colcombe, Steven J. "Forecasting model for future needs requirements for spare parts in FMS sales." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA386375.

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Winklhofer, A. M. "The practice of export sales forecasting : an investigation of UK exporters." Thesis, Swansea University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.636672.

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Export sales forecasting involves additional problems compared to general sales forecasting. Despite the large number of empirical studies focusing on general and sales forecasting practices and activities, no investigation has specifically dealt with export sales forecasting. In order to close this gap, a survey of UK exporters was undertaken. The results from this survey are used to provide insights into issues such as forecasting level, time horizon, use of forecasting techniques, organisation of the forecasting function, the parties involved in preparing, approving and using export sales f

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Aronsson, Henrik. "Modeling strategies using predictive analytics : Forecasting future sales and churn management." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130.

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This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partnership with IBM, which sells services for predictive analytics. The tool that this project is carried out with, is a software from IBM: SPSS Modeler. Five different examples are given of what and how the predictive work that was carried out at Klarna consisted of. From these examples, the different pr

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Orrebrant, Richard, and Adam Hill. "Increasing sales forecast accuracy with technique adoption in the forecasting process." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-24038.

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Abstract Purpose - The purpose with this thesis is to investigate how to increase sales forecast accuracy. Methodology – To fulfil the purpose a case study was conducted. To collect data from the case study the authors performed interviews and gathered documents. The empirical data was then analysed and compared with the theoretical framework. Result – The result shows that inaccuracies in forecasts are not necessarily because of the forecasting technique but can be a result from an unorganized forecasting process and having an inefficient information flow. The result further shows that

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Amethier, Patrik, and André Gerbaulet. "Sales Volume Forecasting of Ericsson Radio Units - A Statistical Learning Approach." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288504.

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Demand forecasting is a well-established internal process at Ericsson, where employees from various departments within the company collaborate in order to predict future sales volumes of specific products over horizons ranging from months to a few years. This study aims to evaluate current predictions regarding radio unit products of Ericsson, draw insights from historical volume data, and finally develop a novel, statistical prediction approach. Specifically, a two-part statistical model with a decision tree followed by a neural network is trained on previous sales data of radio units, and th

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Arvan, Meysam. "GUIDED JUDGEMENT FOR DEMAND FORECASTING IN THE PRESENCE OF SALES PROMOTIONS." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20712.

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Product forecasts are critical input into procurement, inventory, marketing decisions etc. The use of human judgement is common in the real-world forecasting practice. Human intervention occurs mainly to incorporate contextual information. The literature suggests that a forecasting support system (FSS) that systematically guides the forecaster in applying judgement can improve forecast accuracy. Guidance is the core component of such an FSS. A behaviourally-informed FSS (BIFSS), as defined in this thesis, is an FSS that aims to provide systematic guidance to inform the judgement of a forecaste

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BOZIC, Maja. "Impact of the retail environment drivers on sales and demand forecasting." Doctoral thesis, Università degli studi di Cassino, 2021. http://hdl.handle.net/11580/84146.

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The Ph.D. dissertation, Impact of the retail environment drivers on sales and demand forecasting, aims to explore and study the influence of the retail environment patterns on sales and demand forecasting. The uncertainty of the retail environment influenced by the complexity of the supply chain and demand management put out the range of drivers that can influence the dynamics of demand and sales and the tendency to develop more functional tools to capture them. In the first chapter, The concept of the environment and external impact on the forecasting in retailing, it is outlined the main

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Boyapati, Sai Nikhil, and Ramesh Mummidi. "Predicting sales using Machine Learning Techniques." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20237.

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Dwyer, Michael Edward. "Impact of implementing a self-managed work team on high sales force turnover and low productivity : a field experiment." Thesis, Swansea University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607454.

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Elmasdotter, Ajla, and Carl Nyströmer. "A comparative study between LSTM and ARIMA for sales forecasting in retail." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229747.

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Food waste is a major environmental issue. Expired products are thrown away, implying that too much food is ordered compared to what is sold and that a more accurate prediction model is required within grocery stores. In this study the two prediction models Long Short-Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA) were compared on their prediction accuracy in two scenarios, given sales data for different products, to observe if LSTM is a model that can compete against the ARIMA model in the field of sales forecasting in retail. In the first scenario the models pred

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Green, Yvette Nicole Julia. "An Exploatory Investigation of the Sales Forecasting Process in the Casual Theme and Family Dining Segments of Commercial Restaurant Corporations." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/26139.

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Sales forecasting is an essential tool for the planning function of corporate restaurant management. Accurate sales forecasts allow functional areas, such as marketing, advertising, human resources, and finance, to effectively develop programs to advance the company. Examples of these programs include budgets, promotion and advertising campaigns, training programs, and capital equipment proposals. Research in restaurant sales forecasting will aid restaurant corporations in properly allocating resources for more efficient utilization. Utilizing a descriptive sales forecasting benchmarking mo

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Dyussekeneva, Karima. "New product sales forecasting : the relative accuracy of statistical, judgemental and combination forecasts." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550612.

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This research investigates three approaches to new product sales forecasting: statistical, judgmental and the integration of these two approaches. The aim of the research is to find a simple, easy-to-use, low cost and accurate tool which can be used by managers to forecast the sales of new products. A review of the literature suggested that the Bass diffusion model was an appropriate statistical method for new product sales forecasting. For the judgmental approach, after considering different methods and constraints, such as bias, complexity, lack of accuracy, high cost and time involvement, t

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Ku, Li-Ting, and 辜莉婷. "Applying Hierarchical Forecasting Methodology to TV-shopping Sales Forecasting." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/45727307552231581004.

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碩士<br>國立臺灣大學<br>商學研究所<br>94<br>For those companies who sell multiple products to end users, demand forecasting is a tough but important issue. In consumer product industry, retailers have to coordinate the supply chain to become more competitive. In generally, aggregated demand forecasting is more accurate than individual item forecasting. However, if we have only the aggregated demand, we will not be able to get useful information for decision-making in the operation level. If we forecast each end item’s demand, it will be too time consuming and the difficulty of forecasting will increase. As

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SU, YU-TING, and 蘇御廷. "Empirical Study on Cars Sales Forecasting." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/c227nz.

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碩士<br>朝陽科技大學<br>企業管理系<br>105<br>This study is concerned with sales analysis and prediction of empirical research, well-known brands (Toyota, Mitsubishi, Nissan) of automobiles. First of all Toyota, Mitsubishi, Nissan and its car sales analysis, the study of the analysis of the sales model for the judge, select the appropriate forecasting methods for the brand and there vehicle forecast analysis, and error measurement standards assessment, view predict the accuracy of the results to confirm the applicability of the forecasting method.Its excellent forecast results will be used as an important b

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Lee, Chio-Hui, and 李昭慧. "Intelligent forecasting models for sales volume." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/bfa4x2.

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博士<br>元智大學<br>資訊管理學系<br>106<br>Sales forecasting is a vital cornerstone of a company's budget in manufacturing industries. The future direction of the company may rest on the accuracy of sales forecasting. In manufacturing firms, product demand is forecast for the upcoming production period, and the production is planned in accordance with the forecast to avoid inventory shortage or excess. Therefore, sales forecasting is crucial for manufacturing industries. In this study—which used the monthly sales volumes of two car manufacturers in Taiwan, economic variables analyzed using grey theory (GR

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Barreira, Jose. "Development of a sales forecasting model for canopy windows." Thesis, 2014. http://hdl.handle.net/10210/11467.

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M.Com. (Business Management)<br>Forecasting is an important function used in a wide range of business planning or decision-making situations. The purpose ofthis study was to build a sales forecasting model that would be practical and cost effective, from the various forecasting methods and techniques available. Various forecast models, methods and techniques are outlined in the initial part of this study by the author. The author has outlined some of the fundamentals and limitations that underline the preparations of forecasting models. It is not the purpose of this study to microscopically di

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Lin, Wei-Ting, and 林威廷. "Applying Hierarchical Forecasting Methodology to Seasonal Sales Forecasting in Appliance Industry." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/63047138764787177203.

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碩士<br>臺灣大學<br>商學研究所<br>95<br>The results of demand planning highly influence the quality of supply chain network planning. It reveals that demand planning plays a very important role in business operations. However, demand information is often distorted through supply chain. The phenomenon of asymmetric demand information seriously harms the quality of supply chain planning. As a result of product diversity and shorter product life cycle, forecasting for every single product item will cost too much in physical and time aspect, and also unlikely obtain accurate forecasts. Although forecasting f

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Li, Jian Huei, and 黎鑑輝. "An Empirical Study on Motorcycles Sales Forecasting." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/10213855277681050698.

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碩士<br>長庚大學<br>企業管理研究所<br>95<br>英文摘要 " KYMCO " , " SYM " and " PGO " which not only own independent R&D but also sell products to markets throughout the world are few brands with international well-knownness. The existing vehicle industry researches focus more on automobile than motorcycle. Besides, the relevant researches of the motorcycle emphasized more on traffic management and control than markets sales volume, which the industry really cares.¬ In recent years, the development of substitute transportation and the saturation of vehicle market have made the motorcycle sales no longer continu

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LIU, CHIA-HSIN, and 劉佳欣. "Vehicle Sales Forecasting by Sentiment Analysis Data." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/n2sr45.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>106<br>The automobile industry plays an important role when it comes to economic development of a country. America’s automobile industry has been a bright spot in the global economy. It is related to a wide range of neighboring industries, such as steel, transportation, and component supply. The increase of capacity utilization can create more job opportunities that will have a far-reaching impact on economic structure. For years, social media websites have been spreading widely, and make it easier for people to share their comments about products and services of br

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Yang, Ming-De, and 楊明德. "Study of Sales Forecasting-The Case of T Company Hualien Sales Office." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/c5y452.

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碩士<br>國立東華大學<br>管理學院高階經營管理碩士在職專班<br>100<br>An important in efficiency of the logistic systems can reduce the cost of operation and promote and customer satisfaction, thus creating a competitive edge for the company. With sales forecast being the foundation of the stock and logistic managements, the significance of which cannot be overlooked. The study took the T firm Hualien division as the research subject, and it categorized its products by their most prominent aspects. Various forecast models will be applies to each category of products, the most accurate forecast models can be determined f

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Day, Min-Yuh, and 戴敏育. "Research Of Applying Genetic Algorithms To Fuzzy Forecasting-Focus On Sales Forecasting." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/98418171464602711307.

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碩士<br>淡江大學<br>資訊管理研究所<br>83<br>The major purpose of this study is applying Genetic Algorithms(GAs) to developing fuzzy forecasting in order to increase the accuracy of forecasting. Genetic algorithm is a parallel goal-oriented search technique for optimization and can be used to easily find out the global or nearly global optima for optimization problems. In this study, we focus on sales forecasting and propose a dynamic forecasting model by using Genetic Algorithms in searching the optimal linguistic variables and partition intervals, and finding out the most fitness model basis w of fuzzy ti

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LEE, CHIN-YUAN, and 李金原. "Applying Time Series Analysis in Sales Forecasting - Taking Motors Sales as an Example." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/766476.

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碩士<br>元智大學<br>資訊工程學系<br>106<br>Predictions have become an indispensable part of life, such as climate predictions and commodity sales forecasting may affect individuals or businesses. Facing increasingly severe market competition, correct and timely sales forecasting can assist companies in preparing the materials for producing products, shortening the delivery of products, and reducing inventory. This study proposes a 2-in-1 integrated time series model to integrate deep learning approach: Long-Short Term Memory (LSTM) and statistical approach: Autoregressive Integrated Moving Average model

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BIN, LIN KAI, and 林楷斌. "Machine Learning Approaches for the Cosmetics Sales Forecasting." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/xd9naz.

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碩士<br>國立高雄應用科技大學<br>工業工程與管理系碩士班<br>104<br>In the contemporary information society, constructing an effective sales prediction model is challenging due to the sizeable amount of purchasing information obtained from diverse consumer preferences. Many empirical cases shown in the existing literature argue that the traditional forecasting methods, such as the index of smoothness, moving average, and time series, have lost their dominance of prediction accuracy when they are compared with the modern types of forecasting approaches, such as the neural network (NN) and support vector machine (SVM) mo

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Ting-Fang, Cheng, and 鄭婷方. "Comparing Variable Selection Schemes for Hotel Sales Forecasting." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/09862472313749970674.

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碩士<br>輔仁大學<br>企業管理學系管理學碩士班<br>101<br>Since tourism has becoming a crucial policy of future Taiwan economic development, sales forecasting has also revealing its highly importance for the hotel industry. In consideration of constructing an efficient sales forecasting model, the appropriate predictor variables are subject to use, if the amount of the predictor variables are too many, the model will become more complex, it’ll increase the time and the cost of the forecast, on the contrary, if the variables are too few, then it’s hard to reflect the relevancy between the predictor and the target v

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Barbosa, Pedro Schuller de Almeida e. Graça. "A machine learning approach to promotional sales forecasting." Master's thesis, 2018. https://hdl.handle.net/10216/111161.

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Barbosa, Pedro Schuller de Almeida e. Graça. "A machine learning approach to promotional sales forecasting." Dissertação, 2018. https://hdl.handle.net/10216/111161.

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Shih, Meng-Yu, and 施孟妤. "Applying Data Mining Techniques for Magazine Sales Forecasting." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/19204062537561282614.

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碩士<br>國立交通大學<br>管理學院資訊管理學程<br>100<br>Chain of retail sells fresh food, groceries, toys, publications and so on. They distribute these goods to the franchises regularly. The demand of each franchise is different because of their geographic, population structure, residential area, weather, seasonal changes and extrinsic environmental impact. Therefore, how to accurately forecast demand for the amount of goods to increase profit is one of the most important business issues. 　　The research focuses on the prediction about the retail demand of female fashion magazine. It is due to an observation tha

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Tseng, Yin-Jung, and 曾尹蓉. "Sales Forecasting for a Chinese Apparel Retailing Store." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/07435067756859636306.

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碩士<br>國立交通大學<br>工業工程與管理系所<br>102<br>Due to China’s huge apparel retailing market, more and more companies decide to set up their own stores in China. Therefore, the apparel retailers in China have become much more competitive than before, and the risk of opening a new store is also much higher than ever. Thus, this study proposed to find out the important factors related to sales performance based on a company’s history data and provide a sales forecasting model based on those factors. Through the sales forecasting model, it could reduce the risk by assist the managers in making their decision

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Huang, Chih-Hui, and 黃智慧. "A Study on Adaptive Forecasting of Bakery Sales." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/n4y56m.

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碩士<br>國立中興大學<br>高階經理人碩士在職專班<br>106<br>Sales forecasting is the basis for all corporate strategy and decision analysis. If the sales forecast is not accurate, some problems may arise. For example, the production process is not smooth, inventory is not properly controlled, transportation costs and obsolete inventory may increase, and the operating costs of the company may increase. Therefore, the purpose of this study is to establish a sales forecasting model in the baking industry. This study conducts an empirical example in the baking industry and collects sales data over the past 40 months.

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Yang, Erh-chieh, and 楊薾杰. "An Empirical Study on Taiwan’s Automotive Sales Forecasting." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/b46e95.

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碩士<br>國立中山大學<br>財務管理學系研究所<br>106<br>This study is aim at Taiwan’s automotive sales Forecasting. I use regression process to analyze the issue. The study period is from 2002 to 2017. First, I list 15 macroeconomics variables. I use simple regression to find the variable that is significant. After that, I use rolling regression process and use the regression coefficient to forecast. The empirical study result on simple regression is that only 5 variables are left. The 5 variables are Wholesale Price Index, Index of Consumer Sentiment, M2, Leading indicator, Coincident indicator. Because the corr

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Yang, Yu Chuang, and 莊楊裕. "Computer server sales forecasting using cluster-based forecasting model with different linkage strategies." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/41152233888692300027.

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碩士<br>健行科技大學<br>工業管理系碩士班<br>103<br>Sales forecasting is crucial for every company since it is an important task for manufacturing, inventory management and marketing. In this study, a computer server sales forecasting model using clustering method with support vector regression (SVR) and extreme learning machine (ELM) with different linkage strategies is proposed. The proposed scheme first uses k-means algorithm to partition the whole training sales data into several disjoint clusters. Then, for each group, the SVR and ELM is applied to construct forecasting model. Finally, for a given testing

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張瑤峰. "Application of the Neural Network in the sales Forecasting." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/48710066228957463011.

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碩士<br>元智大學<br>工業工程研究所<br>89<br>In the competing environment with each passing day, all enterprises try to exist as hard as they can, and expect to research and develop the best policy in order to create excellent achievement. To formulate the policy, we must have perfect information in hand basically. Thus it wouldn’t get blind. To promote the enterprise mature is selling. Only the selling grows up continually will the enterprise improve continuously. “Forecast” has the function of looking into future; success or failure would influence the enterprise development. To establish a efficient fore

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Chen, Po-Cheng, and 陳柏成. "Study of Sales Forecasting–The Case of F Company." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/fzsm9q.

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碩士<br>國立中正大學<br>企業管理研究所<br>103<br>Nowadays, most of the enterprises in Taiwan are facing the global competition. Especially for the export-oriented, small-to-medium sized companies, the operation environment become more and more severe. Due to Taiwan's international situation, we cannot successfully sign the FTA (Free Trade Agreement) with other countries, such as the geopolitical relations between Taiwan and the closest AEC (ASEAN Economic Community). This causes Taiwan to have higher tariffs in exporting than the members participated in the economic community. Therefore, cost reduction be

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Shieh, Dang-Ke, and 謝登科. "An Application of Fuzzy Theory in Gasoline Sales Forecasting." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/19882576495027427740.

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碩士<br>中華大學<br>工業研究所<br>83<br>In this research, we divide a gasoline sales forecasting mode into three major factors: trend, seasonal and the relation of two successive periods factors. The simple regression was used to describe the trend of the gasoline sales. In the seasonal factor, based on the residual analysis, some fuzzy set theory concepts were used to define whether a period belong to "high season" or "low season" and so on. The relation of two successiv

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Ma, Chien H. Szu, and 司馬千祥. "Sales Forecasting -- Building and Application of The Theoretical Framework." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/58098373152569018364.

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碩士<br>淡江大學<br>管理科學研究所<br>82<br>Sales improves the growth of the company,so in the changeable and uncertain marketing environment, each business must hold the sales information. However, most enterprises lack a well-structured framework to get the information and academic researches often discussed the theoretical study. The purpose of this research is to integrate the theoretical foundation and practical demand for building a sales forecasting framework. The complete framework

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