Relevant bibliographies by topics / Sales analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sales analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Sales analysis"

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Varma, Ms D. Bhavya, G. Vijaya Kumari, and R. Vijetha. "Sales Trend Analysis Using ARIMA." International Journal of Research Publication and Reviews 6, no. 4 (2025): 14316–20. https://doi.org/10.55248/gengpi.6.0425.1658.

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Pal, Mr Suraj Ramashary, and Dr Ashwini Kshirsagar. "Detailed Study on B2B Sales Analysis." International Journal of Research Publication and Reviews 5, no. 1 (2024): 1901–3. http://dx.doi.org/10.55248/gengpi.5.0124.0231.

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Suwandi, S. Sangadji. "Sales Management Analysis and Decision Making." PROCURATIO: Jurnal Manajemen & Bisnis 2, no. 1 (2023): 39–42. https://doi.org/10.5281/zenodo.8207078.

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This comprehensive book aims to provide readers with an in-depth understanding of sales management, covering analysis and decision-making for developing effective sales strategies and tactics. It also delves into various concepts, techniques, and tools used in sales management and how to apply them in practice. The book covers topics such as personal selling, organizational strategies, sales organization structure, salesforce deployment, recruitment and selection, sales training, sales leadership, motivation and reward systems, evaluating organizational effectiveness, and evaluating salesperso
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Trivedi, Ishita. "Supermarket Sales Analysis." International Journal for Research in Applied Science and Engineering Technology 8, no. 8 (2020): 797–801. http://dx.doi.org/10.22214/ijraset.2020.30970.

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Chitre, Vidya. "Big Mart Sales Analysis." International Journal of Innovative Technology and Exploring Engineering 11, no. 5 (2022): 8–11. http://dx.doi.org/10.35940/ijitee.c9833.0411522.

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In the modern era of reaching new lengths of advancement, every company and enterprise are working on their customer demands as well as their inventory management. The models used by them help them predict future demands by understanding the pattern from old sales records. Lately, everyone is abandoning the traditional prediction models for sales forecasting as it takes a prolonged amount of time to get the expected results. Therefore now the retailers keep track of their sales record in the form of a data set, which comprises price tag, outlet types, outlet location, item visibility, item out
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Vidya, Chitre, Mahishi Shruti, Mhatre Sharvari, and Bhagwat Shreya. "Big Mart Sales Analysis." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 11, no. 5 (2022): 8–11. https://doi.org/10.35940/ijitee.C9833.0411522.

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<strong>Abstract:</strong> In the modern era of reaching new lengths of advancement, every company and enterprise are working on their customer demands as well as their inventory management. The models used by them help them predict future demands by understanding the pattern from old sales records. Lately, everyone is abandoning the traditional prediction models for sales forecasting as it takes a prolonged amount of time to get the expected results. Therefore now the retailers keep track of their sales record in the form of a data set, which comprises price tag, outlet types, outlet location
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Jarrett, Jeffrey E. "An Analysis of Lost Sales." Management and Economics Research Journal 01 (2015): 28. http://dx.doi.org/10.18639/merj.2015.01.159412.

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The purpose of this manuscript is to shed light on problems associated with lost sales and the incurring of cost associated with lost sales. An investigation is made to determine if seasonality in sales and lost sales have effects on the efficient operations of supply chains. Optimization is always a goal of management supply chains, but cost increases due to insufficient inventory, low-quality product and the like lead to customers not returning. These are lost sales that occur for many reasons. We study a data set to determine if the ignoring of time series component also has an effect on th
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Mr., Chandrashekar P. "Analysis Report on Automobiles Sales." Prajna, UGC Care Listed Journal 4, no. 1 (2023): 88–96. https://doi.org/10.5281/zenodo.12599269.

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This report presents the development and evaluation of a classification model designed to predict the symboling category of vehicles using their attributes and specifications. Symboling is an essential indicator of insurance risk, influencing insurance premiums, safety regulations, and consumer decisions. The model employs a dataset comprising diverse features like normalized losses, make, fuel type, aspiration, body style, and more. The RandomForestClassifier is chosen for prediction, and its performance is assessed through accuracy metrics, confusion matrices, and classification reports. &nb
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S. Sangadji, Suwandi. "SALES MANAGEMENT ANALYSIS AND DECISION MAKING." PROCURATIO: Jurnal Manajemen & Bisnis 2, no. 1 (2023): 39–42. http://dx.doi.org/10.62394/projmb.v2i1.57.

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This comprehensive book aims to provide readers with an in-depth understanding of sales management, covering analysis and decision-making for developing effective sales strategies and tactics. It also delves into various concepts, techniques, and tools used in sales management and how to apply them in practice. The book covers topics such as personal selling, organizational strategies, sales organization structure, salesforce deployment, recruitment and selection, sales training, sales leadership, motivation and reward systems, evaluating organizational effectiveness, and evaluating salesperso
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Ramdhani, Muchamad Pahmi. "ANALYSIS OF COST OF SALES AND SALES ON NET INCOME." Inovbiz: Jurnal Inovasi Bisnis 9, no. 1 (2021): 133. http://dx.doi.org/10.35314/inovbiz.v9i1.1900.

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This study aims to analyze The cost of sales and sales of net income in retail trading companies listed on the Bursa Efek Indonesia. The population and sample in this study are the financial statements of 12 retail trading companies listed on the Bursa Efek Indonesia for the period 2016-2018. This research technique uses classic assumption test, multiple linear regression analysis, hypothesis test and determination coefficient test. The collection technique uses the documentation and literature review methods. And after the data was collected, the test analysis in this study was carried out wi
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Dissertations / Theses on the topic "Sales analysis"

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Larson, Geremy. "Self-propelled forage harvester sales analysis." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/35746.

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Master of Agribusiness<br>Department of Agricultural Economics<br>Major Professor Not Listed<br>Self-propelled forage harvesters are used to make feed for livestock. Producers prefer forage made with these machines because they are able to deliver a feed value that enables improved productivity of their animals in terms of milk production for dairy animals and weight gain for beef animals. Self-propelled forage harvesters are able to make a variety of feed from different crops, including whole-plant corn silage, earlage, and haylage, among others. The self-propelled forage harvester is a
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Lindström, Maja. "Food Industry Sales Prediction : A Big Data Analysis & Sales Forecast of Bake-off Products." Thesis, Umeå universitet, Institutionen för fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184184.

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In this thesis, the sales of bread and coffee bread at Coop Värmland AB have been studied. The aim was to find what factors that are important for the sales and then make predictions of how the sales will look like in the future to reduce waste and increase profits. Big data analysis and data exploration was used to get to know the data and find the factors that affect the sales the most. Time series forecasting and supervised machine learning models were used to predict future sales. The main focus was five different models that were compared and analysed, they were; Decision tree regression
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Anderson, Harold Andreas. "Economic analysis of risk to goods in transit." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27747.

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The rules governing risk to goods in transit contained in the British Columbia Sale of Goods Act are based on a statute enacted in 1893. Although the method of transport as well as the types of goods being transported have changed significantly since that time, the rules have not been modified. The hypothesis explored in this thesis is whether rules governing risk to goods in transit drafted in the late nineteenth century represent efficient rules in the late twentieth century. The thesis applied economic analysis to the rules to test their efficiency. The rules were tested in the ocean trans
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Xiao, Weizhong. "Nested logit model analysis of aggregate sales response." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10543.

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Wirth, Christopher. "An analysis of foreign military sales logistical support." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FWirth.pdf.

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Chen, Zhilin. "Bayesian Analysis of Binary Sales Data for Several Industries." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/596.

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The analysis of big data is now very popular. Big data may be very important for companies, societies or even human beings if we can take full advantage of them. Data scientists defined big data with four Vs: volume, velocity, variety and veracity. In a short, the data have large volume, grow with high velocity, represent with numerous varieties and must have high quality. Here we analyze data from many sources (varieties). In small area estimation, the term ``big data' refers to numerous areas. We want to analyze binary for a large number of small areas. Then standard Markov Chain Monte Carlo
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Shoemaker, Michael H. "A Bass Diffusion Model Analysis: Understanding Alternative Fuel Vehicle Sales." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cmc_theses/399.

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Frank M. Bass developed the Bass Diffusion Model to predict how innovative consumer durable products diffuse through consumer markets. This thesis will use data from 1999-2011 to examine the applicability of the Bass Diffusion Model to the introduction of alternative fuel vehicles (AFVs) in the automobile market. The findings in this thesis indicate the Bass Diffusion Model fit the diffusion pattern exhibited by AFVs well, but failed to accurately forecast diffusion patterns outside a given range of data. This thesis investigates potential reasons for the inaccurate 'Out of Sample Forecast', a
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Saruhan, Ozcan. "An analysis of Foreign Military Sales procedures (Turkish procurement example)." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/26862.

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Lansryd, Lisette, and Birr Madeleine Engvall. "GDPR ́s Impact on Sales at Flygresor.se: A Regression Analysis." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254297.

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The possible effects of the General Data Protections Regulations (GDPR) have been widely discussed among policymakers, stakeholders and ordinary people who are the objective for data collection. The purpose of GDPR is to protect people’s integrity and increase transparency for how personal data is used. Up until May 25th, 2018 personal data could be sampled and used without consent from users. Many argue that the introduction of GDPR is good, others are reluctant and argue that GDPR may harm data-driven companies. The report aims to answer how GDPR affects sales at the flight search engine Fly
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Ohiomah, Alhassan. "Lead to Win: Recipes for Inside Sales Success." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41490.

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The role of sales has evolved over the last decade, mostly driven by technological and social changes. One major shift is the growth in importance and in size of the inside sales function. Inside sales are sales that are conducted remotely or virtually using one or more Information Technology (IT) tools without the traditional in-person interaction. Despite the growing importance of inside sales, studies that show the key determinants and practices that can improve inside sales success are rare and have tended to focus on determinants affecting individual salesperson performance. Moreover, exi
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Books on the topic "Sales analysis"

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N, Ingram Thomas, ed. Sales management: Analysis and decision making. 4th ed. Harcourt College Publishers, 2001.

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N, Ingram Thomas, ed. Sales management: Analysis and decision making. 7th ed. M.E. Sharpe, 2009.

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W, LaForge Raymond, ed. Sales management: Analysis and decision making. 2nd ed. Dryden Press, 1992.

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Ingram, Thomas N. Sales management: Analysis and decision making. Holt, Rinehart & Winston, 1989.

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Ingram, Thomas N. Sales management: Analysis and decision making. 8th ed. M.E. Sharpe, 2012.

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W, LaForge Raymond, ed. Sales management: Analysis and decision making. 3rd ed. Dryden Press, 1997.

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W, LaForge Raymond, ed. Sales management: Analysis and decision making. Dryden Press, 1989.

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N, Ingram Thomas, ed. Sales management: Analysis and decision making. 6th ed. Thomson/South-Western, 2006.

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Dommermuth, William P. Promotion: Analysis, creativity, and strategy. 2nd ed. PWS-Kent Pub. Co., 1989.

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A, DiMatteo Larry, ed. International sales law: An analysis of CISG jurisprudence. Cambridge University Press, 2005.

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Book chapters on the topic "Sales analysis"

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Johnston, Mark W., and Greg W. Marshall. "Cost Analysis." In Sales Force Management. Routledge, 2020. http://dx.doi.org/10.4324/9781003134688-12.

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Johnston, Mark W., Greg W. Marshall, and Jessica L. Ogilvie. "Cost Analysis." In Sales Force Management, 14th ed. Routledge, 2025. https://doi.org/10.4324/9781032692807-15.

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Castro-Zuluaga, Carlos A., and Mariana Arboleda. "Sales Forecasting Difficulties’ Analysis on Colombian Direct Sales Companies." In Lecture Notes on Multidisciplinary Industrial Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49370-7_12.

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Pole, Andy, Mike West, and Jeff Harrison. "Application: Turkey Chick Sales." In Applied Bayesian Forecasting and Time Series Analysis. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3432-1_4.

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Siddique, Ibrahim S. P., Pothuri Naga Sai Saketh, Gamidi Sanjay, Bhimavarapu Charan Tej Reddy, Mesa Ravi Kanth, and Kumar S. Selva. "Sales analysis: Coca-Cola sales analysis using data mining techniques for predictions and efficient growth in sales." In Applied Data Science and Smart Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781003471059-58.

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Yang, Jun. "Best Practices and Case Analysis." In Sales and Service Digital Transformation. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5961-6_5.

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Jindal, Rajni, Isha Jain, Isha Saxena, and Manish Kumar Chaurasia. "Prediction of Sales Using Stacking Classifier." In Machine Learning for Predictive Analysis. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7106-0_5.

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Johnson-Hillery, Julie, and Jikyeong Kang. "Data Analysis and Results." In Elderly Consumers and Retail Sales Personnel. Garland Science, 2021. http://dx.doi.org/10.4324/9781003249245-4.

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Chiru, Costin-Gabriel, and Vlad-Valentin Posea. "Time Series Analysis for Sales Prediction." In Artificial Intelligence: Methodology, Systems, and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99344-7_15.

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Maeda, Sayaka, Yuto Shimizu, and Kazuhiko Tsuda. "Predictive Analysis of Cyclical Sales Data." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-6469-3_17.

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Conference papers on the topic "Sales analysis"

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Cui, Christopher Genzhuo. "Forecasting Future EV Sales: A Comparative Study of Model Performance." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013487700004619.

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Johnson, M., P. Arun Prakash, V. Saihareesh, A. Rajiv, S. Ananthi, and H. Anandakumar. "Comparitive Analysis of Future Sales Prediction Using Artificial Intelligence." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10859999.

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Suresh, B. S., and M. Suresh. "An Effective Analysis of Customer Satisfaction with Retail Sales Services." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10797175.

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Li, Mei. "Design of Sales Decision Support Analysis System Based on HANA." In 2024 4th International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2024. http://dx.doi.org/10.1109/isctis63324.2024.10698769.

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Krishna, R. Sanjeev, K. Deepa, and S. V. Tresa Sangeetha. "Performance Analysis of ML Techniques in EV Sales - A Study." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717024.

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Tama, Ahmad Sambang Setya, Faqih Hamami, and Taufik Nur Adi. "Optimizing Menu Bundling Strategies Through Apriori Algorithm in Sales Analysis." In 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2024. https://doi.org/10.1109/icicyta64807.2024.10913219.

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Choi, Hee, Jeong-Sook Ha, Kwang-Young Park, and Gye-Young Kim. "Customer Response Analysis Based on NLP of Sales Activity Texts." In 2025 International Conference on Information Networking (ICOIN). IEEE, 2025. https://doi.org/10.1109/icoin63865.2025.10993155.

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Kunal, Muskaan Singh, Harshit Sharma, Shweta Roy, and Kadambri Agarwal. "Big Mart Sales Analysis." In 2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT). IEEE, 2024. http://dx.doi.org/10.1109/ccict62777.2024.00092.

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Preethi, M., and A. Rajesh Kanna. "Real Time Sales Data Analysis." In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2023. http://dx.doi.org/10.1109/icaccs57279.2023.10112946.

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Tan, Kang. "Sports TV Rights Sales Analysis." In 2015 International Conference on Social Science, Education Management and Sports Education. Atlantis Press, 2015. http://dx.doi.org/10.2991/ssemse-15.2015.590.

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Reports on the topic "Sales analysis"

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Besley, Timothy, and Harvey Rosen. Sales Taxes and Prices: An Empirical Analysis. National Bureau of Economic Research, 1998. http://dx.doi.org/10.3386/w6667.

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LaRaine Ingram, Keisha. Applied Sales Predictive Analytics for Business Development. Vilnius Business College, 2024. http://dx.doi.org/10.57005/ab.2024.1.2.

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In the dynamic business environment, leveraging predictive analytics for sales optimization and business development has become crucial for achieving sustained growth. As the e-commerce landscape continues to evolve, many e-businesses must harness the power of predictive analytics to anticipate sales trends and optimize business development strategies. This paper explores the application of sales predictive analytics, focusing on its role in forecasting sales, optimizing resource allocation, and enhancing customer relationship management. The application of predictive analytics in sales foreca
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Fukui, Tani, and Csilla Lakatos. A Global Database of Foreign Affiliate Sales. GTAP Research Memoranda, 2012. http://dx.doi.org/10.21642/gtap.rm24.

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There is a severe lack of data describing foreign affiliate activity. To fill this gap, we produce a new dataset to further the literature on the behavior of multinational firms. Eurostat’s Foreign Affiliate Statistics database, with a large number of sector-level, bilateral observations on foreign affiliate sales, provides a basis from which to extrapolate the relationship between various host and source country factors and the foreign affiliate activity produced by them. This paper exploits the detailed level of the data by introducing sector-specific variables that in turn permit out of sam
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Guha, Rishab, and Serena Ng. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w25899.

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Moore, Kevin L., Chih-Haur Ho, Coleen A. Foust, and Aidas Kerutis. Foreign Military Sales Trend Analysis: Impacts on the Future with Application to Taiwan. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada473241.

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Aramburu, Julián, Mario González, Lina Salazar, and Paul Winters. When a Short-term Analysis is not a Short-term Approach: Impacts of Agricultural Technology Adoption in Bolivia. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0012279.

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This paper presents the results of an impact evaluation for the CRIAR program, implemented in rural areas in Bolivia. The objective of this program is to increase the agricultural income and food security of smallholder farmers through productivity gains that result from technological adoption. We use data obtained from a sample of 1,287 households-817 beneficiaries and 470 controls- interviewed specifically for this evaluation, and rely on a methodology of Propensity Score Matching. Overall, the main impacts of the program are observed in short- and medium-term variables, including crop diver
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Sheldon, Tamara, and Rubal Dua. The Dynamic Role of Subsidies in Promoting Global Electric Vehicle Sales. King Abdullah Petroleum Studies and Research Center, 2023. http://dx.doi.org/10.30573/ks--2023-dp02.

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We offer the most comprehensive analysis to date of global plug-in electric vehicle (PEV) subsidies. We accomplish this by estimating vehicle choice models for 23 countries using 2010–2019 sales data and using counterfactual simulations to assess the cost-effectiveness of PEV incentives.
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Hoen, Ben, Peter Cappers, Ryan Wiser, and Mark Thayer. An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1013074.

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Filip, Grażyna, and Justyna Majchrowska. Internet Post as an Element of E-Branding. Linguistic Analysis. Ivan Franko National University of Lviv, 2022. http://dx.doi.org/10.30970/vjo.2022.51.11401.

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E-branding of Lidl brand is a wide-ranging marketing strategy, which purpose is to keep the current customers and gain new. The authors of advertisments posts, that includes information regarding a specific product (name, information about it, price, reason of showcasing in the specific moment), use semantic (mostly nature, price, tradition, modernity, comfort, luxury), grammatical and non-linguistic categories to convince the receivers to themselves. Such communicational process enables also to read the needs of customers, who – by liking the brand’s page – want (actively) to participate in t
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Baldwin, Richard. PR-015-084508-R01 Contaminants in Sales Gas Pipelines Sources Removal and Treatment. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0010029.

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The objective of this project is to provide information about a problem material found in gas pipelines called "black powder". It is a mixture or a chemical compound of iron sulfides, iron oxides, dirt, sand, salts, chlorides, water, glycols, hydrocarbons and compressor oils, mill scale, or other materials. The most common constituents, iron compounds of sulfur or oxygen, are corrosion products. In addition to chemical formation, black powder can be formed by microbes normally found in gas pipelines. This material causes machinery, measurement, and pipeline maintenance problems. This research
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