Relevant bibliographies by topics / Retailer segmentation

Contents

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

Academic literature on the topic 'Retailer segmentation'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Retailer segmentation"

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Imanuel, Dennis Alfa, and Ganjar Alfian. "Visualisasi Segmentasi Pelanggan Berdasarkan Atribut RFM Menggunakan Algoritma K-Means Untuk Memahami Karakteristik Pelanggan pada Toko Retail Online." Jurnal Teknologi Informasi dan Ilmu Komputer 12, no. 2 (2025): 283–92. https://doi.org/10.25126/jtiik.1228619.

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Meningkatnya minat belanja pelanggan toko retail online menimbulkan persaingan ketat antar retailer. Agar tetap unggul dan kompetitif, retailer perlu memahami karakteristik pelanggannya. Penerapan segmentasi pelanggan memberikan kemudahan pada retailer untuk memahami karakteristik pelanggan berdasarkan penilaian pada atribut yang dihitung dari data riwayat transaksi pelanggan. Hasil segmentasi pelanggan yang divisualisasikan dapat meningkatkan pemahaman retailer dalam memahami data dan membantu dalam proses pengambilan keputusan. Oleh karena itu, penelitian ini mengusulkan Visualisasi Segmenta
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Imanuel, Dennis Alfa, and Ganjar Alfian. "Visualisasi Segmentasi Pelanggan Berdasarkan Atribut RFM Menggunakan Algoritma K-Means Untuk Memahami Karakteristik Pelanggan pada Toko Retail Online." Jurnal Teknologi Informasi dan Ilmu Komputer 12, no. 2 (2025): 283–92. https://doi.org/10.25126/jtiik.2025128619.

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Meningkatnya minat belanja pelanggan toko retail online menimbulkan persaingan ketat antar retailer. Agar tetap unggul dan kompetitif, retailer perlu memahami karakteristik pelanggannya. Penerapan segmentasi pelanggan memberikan kemudahan pada retailer untuk memahami karakteristik pelanggan berdasarkan penilaian pada atribut yang dihitung dari data riwayat transaksi pelanggan. Hasil segmentasi pelanggan yang divisualisasikan dapat meningkatkan pemahaman retailer dalam memahami data dan membantu dalam proses pengambilan keputusan. Oleh karena itu, penelitian ini mengusulkan Visualisasi Segmenta
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Che, Pak Hou, and Yue Chen. "Probabilistic Selling with Unsealing Strategy: An Analysis in Markets with Vertical-Differentiated Products." Mathematics 13, no. 12 (2025): 2036. https://doi.org/10.3390/math13122036.

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Probabilistic selling is a retail strategy in which consumers purchase products without knowing their exact identities until after purchase, with various applications like gaming and retail; a real-world practice involves retailers may unsealing and reselling goods to meet consumer demand for transparency. This disrupts manufacturers’ strategies designed to adopt the uncertainty for segmentation and pricing. Using a vertically differentiated supply chain model structured as a Stackelberg game framework, this study examines how transparency from retailer unsealing affects profitability, consume
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Prasetya, Prita, Mukhamad Najib, and Febrina Mahliza. "Retailer Segmentation as A Strategy for B2B Marketing using A Two-Level Clustering Analysis." Kajian Branding Indonesia 4, no. 1 (2022): 33–46. http://dx.doi.org/10.21632/kbi.4.1.33-46.

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This paper aims to explore the possibility of identifying retailer segments. Data is the foundation of segmentation that helps identify the critical value drivers, select the appropriate engagement level and decide the retailer engagement. This study proposes a new approach that considers two-stage clustering for retailer segmentation and behavioural analysis among building materials companies in Indonesia. The alignment could provide a practical managerial approach to finding competitive advantage and a better understanding of sales opportunities. Retailer segmentation can be done differently
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Ghea, Sekar Palupi, and Noor Fakhruzzaman Muhammad. "Indonesian pharmacy retailer segmentation using recency frequency monetary-location model and ant K-means algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6132–39. https://doi.org/10.11591/ijece.v12i6.pp6132-6139.

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We proposed an approach of retailer segmentation using a hybrid swarm intelligence algorithm and recency frequency monetary (RFM)-location model to develop a tailored marketing strategy for a pharmacy industry distribution company. We used sales data and plug it into MATLAB to implement ant clustering algorithm and K-means, then the results were analyzed using RFM-location model to calculate each clusters’ customer lifetime value (CLV). The algorithm generated 13 clusters of retailers based on provided data with a total of 1,138 retailers. Then, using RFM-location, some clusters were com
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Qi, Guohu, Xuemei Zhang, Jiawei Hu, and Haoran Chen. "Decision and Coordination of an O2O Supply Chain With Market Segmentation and Showrooming Effect." International Journal of Information Systems and Supply Chain Management 15, no. 1 (2022): 1–42. http://dx.doi.org/10.4018/ijisscm.287129.

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This paper investigates impacts of market segmentation and showrooming effect on the decision-making of an O2O supply chain, and puts forwards a contract to coordinate the O2O supply chain. Results show that, the showrooming effect is beneficial to the manufacturer, retailer and the supply chain, and the retailer will offer offline showrooming service. Under the influence of market segmentation, O2O supply chain is not necessarily better than single-channel supply chain structure. But adopting advertising and other means to improve consumers’ online channel acceptance, it can realize transform
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Palupi, Ghea Sekar, and Muhammad Noor Fakhruzzaman. "Indonesian pharmacy retailer segmentation using recency frequency monetary-location model and ant K-means algorithm." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6132. http://dx.doi.org/10.11591/ijece.v12i6.pp6132-6139.

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<span lang="EN-US">We proposed an approach of retailer segmentation using a hybrid swarm intelligence algorithm and recency frequency monetary (RFM)-location model to develop a tailored marketing strategy for a pharmacy industry distribution company. We used sales data and plug it into MATLAB to implement ant clustering algorithm and K-means, then the results were analyzed using RFM-location model to calculate each clusters’ customer lifetime value (CLV). The algorithm generated 13 clusters of retailers based on provided data with a total of 1,138 retailers. Then, using RFM-location, som
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Seifbarghy, Mehdi, Khashayar Nouhi, and Amin Mahmoudi. "Contract design in a supply chain considering price and quality dependent demand with customer segmentation." International Journal of Production Economics 167 (September 29, 2015): 108–18. https://doi.org/10.1016/j.ijpe.2015.05.004.

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We consider a two-level supply chain consisting of a manufacturer and a retailer. The retailer gives a final product to a competitive market with customer sensitive to price. The customer demand is assumed to be constant depending on the price and quality degree of the final product. The manufacturer decides on the quality degree of the product. The optimal values of the major decision variables of the chain are determined for different conditions. The supply chain in centralized condition is considered and the optimal values of the price and the quality degree are found. Chain profit in decen
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Jenita, J., Agarwal Yash, Ashok Vishwakarma Yash, Reddy Akhil, and Arifulla. "Customer Segmentation in e-Commerce using ML." Research and Applications of Web Development and Design 6, no. 1 (2023): 1–10. https://doi.org/10.5281/zenodo.7602301.

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<em>Many small online outlets and newcomers to the online retail territories are keen to record and promote the shopper-centric stores, but technically lack the know-how and information needed to do so. doing. This article provides his case study on the use of information mining strategies in customer-centric business intelligence for an online retailer. The primary purpose of this assessment is to help the company better understand its customers and, as a result, make its customer-centric advertising and her marketing more efficient. Under the assumptions of recency, frequency, and economic v
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Urbonavičius, Sigitas, and Robertas Ivanauskas. "Segmentation of Multiple Retailers' Clients on the Basis of Shopping Occasions." Business: Theory and Practice 7, no. (1) (2006): 37–44. https://doi.org/10.3846/btp.2006.06.

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Rapid development of a retailing sector and the emergence of multiple retailers (also called chain stores or chains of stores) significantly increased the power of retailers over other members of products distribution channels. Large retailers, and especially chain stores become more and more independent from manufacturers and suppliers, take over the functions of wholesalers, make orders for manufacturing private label (or store brand) products, take part in product manufacturing processes. The implementation of modern information technologies enables multiple retailers to manage information
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Dissertations / Theses on the topic "Retailer segmentation"

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Liang, Catherine G. (Catherine Gloria). "Segmentation strategies for managing retail supply chains." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66081.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 100-101).<br>High-technology manufacturing companies often face rapid price decline and capacity constraints. Especially in the retail side of the business where the supply chain is much longer and revenue is sometimes not recognized until the sell-through point, optimizing
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Jin, Huiping M. Eng Massachusetts Institute of Technology, and Brad Gilligan. "SKU segmentation strategy for a global retail supply chain." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92114.

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Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 57).<br>The concept of using different supply chain strategies for different products or product families is a fairly simple component of supply chain management. This practice, known as SKU segmentation, is widely used by many companies. However, most research and success stories involve a relatively stable portfolio of brands and products, and products with easily identifiable attributes such as profit m
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Bergström, Sebastian. "Customer segmentation of retail chain customers using cluster analysis." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252559.

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In this thesis, cluster analysis was applied to data comprising of customer spending habits at a retail chain in order to perform customer segmentation. The method used was a two-step cluster procedure in which the first step consisted of feature engineering, a square root transformation of the data in order to handle big spenders in the data set and finally principal component analysis in order to reduce the dimensionality of the data set. This was done to reduce the effects of high dimensionality. The second step consisted of applying clustering algorithms to the transformed data. The method
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Piercy, Niall C. "Online retail : service quality derivation, market segmentation and organisational analysis." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/54269/.

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Hie recent rise of the internet as a commercial trading channel has left retail marketers facing several challenges. As in any marketplace, customer intelligence is the lifeblood of organisational success online, yet no thoroughly tested and validated model exists to reliably capture customer service requirements. Traditional service quality models are an insufficient and inflexible means to capture the unique nature of the internet medium while those emergent models of online behaviour developed thus far have typically been of limited scope, sample size, sample breadth and not validated in co
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Pan, Xiaodan M. Eng Massachusetts Institute of Technology. "Segmentation strategies in urban retail : an application to nanostores in Bogota." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92646.

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Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 55-56).<br>This research analyzes how to apply segmentation strategies in the nanostore retail market, focusing on a pilot company located in Bogota, Colombia. This study introduces two segmentation strategies: 1) a sketch segmentation strategy based on a basic ordering pattern analysis combined with an extended value matrix, sourced from a customer value matrix created by Marcus (1998); and 2) a precisio
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De, Jager Nedia. "The living standards measure as a market segmentation tool for selected retailers / by Nedia de Jager." Thesis, North-West University, 2004. http://hdl.handle.net/10394/692.

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Businesses have realised that they cannot appeal to all consumers in the marketplace. Consumers are too numerous, geographically wide-spread, and too varied in their needs and buying practices. Furthermore, the business& themselves vary widely in their abilities to serve different segments of the market. Businesses consequently conduct market segmentation to identify the parts of the market that it can best serve and most profitably. Therefore, the goal of this study was to determine the actual target markets of selected retailers by means of the Living Standards Measure (LSM) tool, and to rec
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BJÖRK, JESSICA, and HANNA HEDIN. "The management of supplier relationships for medium sized retail companies: a three-dimensionalsegmentation model." Thesis, KTH, Industriell Management, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189500.

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Companies have limited human, financial and technical resources, which makes it crucial toallocate them in an efficient way in order to stay competitive in today's market. One way of doing this is to classify a company's suppliers into different categories, and differentiate the management of each supplier category. Previous studies within the field mostly focus on larger, manufacturing companies, and there is a lack of segmentation models suitable for retail firms. Further, existing literature on supplier relationship management fail on giving concrete actions on how to manage different types
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Vaughan, C. R. W. "Personal values, store image and shopping orientation : A study in international market segmentation." Thesis, University of Bradford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375084.

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Banasik, Robert Michael. "Marketing Strategies Used by Specialty Photo Retailers to Grow Revenues." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2468.

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The advent of digital cameras, including those in smartphones, has caused an upheaval in the photo industry that led to the bankruptcy of Kodak and the closure of most independent photo stores. The purpose of this multiple case study was to explore marketing strategies that specialty photo retailers in the United States have used to grow revenues after the shift to digital imaging technologies. The conceptual framework of this study was Rogers's diffusion of innovations model specifying typical movement of information through communications channels in a social system over time. Data sources i
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Benrqya, Yassine. "Product segmentation and distribution strategy selection : an application in the Retail Supply Chain." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0114/document.

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Dans le contexte économique actuel, les entreprises cherchent à développer de nouvelles stratégies de distribution pour leurs performances logistique. Dans cette quête de performances, les entreprises doivent adapter les stratégies de distribution misent en place avec les typologies de leurs produits. Plusieurs stratégies de distribution existent dans la chaîne logistique de grande distribution. Ces stratégies sont choisies sur la base des caractéristiques des produits, et /ou l'impact sur les performances logistiques. Dans cette thèse, nous étudions l'impact de trois stratégies de distributio
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Books on the topic "Retailer segmentation"

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Griffiths, Jane Edisbury. Market segmentation and the corporate images of grocery retailers. University of Manchester, 1996.

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Büttner, Herbert. Die segmentorientierte Marketingplanung im Einzelhandelsbetrieb. O. Schwartz, 1986.

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Speed, Richard. Retail financial services segmentation: Time for new tricks from old dogs? Loughborough University of Technology, Department of Management Studies, 1990.

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Schröder, Frank. Einzelhandelslandschaften in Zeiten der Internationalisierung: Birmingham, Mailand, München. L.I.S. Verlag, 1999.

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M, Harris Leslie, ed. After fifty: How the baby boom will redefine the mature market : travel & leisure, fast food, apparel/retail, technology, health, financial services. Paramount Market Pub., 2003.

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Elkins, Evan. Locked Out. NYU Press, 2019. http://dx.doi.org/10.18574/nyu/9781479830572.001.0001.

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“This content is not available in your country.” Media consumers around the world regularly run into this reminder of geography’s imprint on digital culture. Despite utopian hopes of a borderless digital society in an era of globalization, DVDs, video games, and streaming platforms include digital rights management mechanisms like region codes and IP address detection systems that block media access within certain territories. Although propped up by national and transnational intellectual property regulation, these technologies of “regional lockout” are designed primarily to keep the entertain
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Hirst, Andrew Robert. Retail marketing strategies: A case study on clothing retailers : the impact of lifestyle segmentation and environmental factors on retail marketing strategies of UK clothing retailers. 1985.

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Demographic Targeting: The Essential Role of Population Groups in Retail Marketing. Ashgate Publishing, 2002.

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Parker, Philip M. The 2007 Report on Retail Bakeries: World Market Segmentation by City. ICON Group International, Inc., 2006.

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Hoff, Timothy J. Retail Thinking Comes to Health Care. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190626341.003.0003.

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Retail thinking and tactics are beginning to find their way into health care delivery, further impacting the ability to have strong, dyadic doctor-patient relationships. External forces described in Chapter 2 and poor patient experiences provide fertile soil for their growth. The retail rhetoric consists of heavy emphasis on “value,” “transparency,” “branding,” and “consumer activation.” The implementation of retail tactics into health care shifts the emphasis from relational to transactional forms of exchange, the latter emphasizing short-duration exchanges between buyer and seller, standardi
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Book chapters on the topic "Retailer segmentation"

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McGoldrick, Peter J., Daniel P. Hampson, and Kaori Nanakida. "Attitudinal Segmentation and Loyalty of Retailer Online Community Users." In Marketing Dynamism & Sustainability: Things Change, Things Stay the Same… Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10912-1_209.

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Barchet, Reinhold, John Forsyth, and Yvonne Staack. "Segmentation." In Retail Marketing and Branding. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119207900.ch2.

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Walters, David, and David White. "Customer Analysis and Market Segmentation." In Retail Marketing Management. Macmillan Education UK, 1987. http://dx.doi.org/10.1007/978-1-349-10666-0_4.

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Wang, Shuguang, and Paul Du. "The Geography of Demand, Expenditure Patterns, and Market Segmentation." In Retail Geography. Routledge, 2020. http://dx.doi.org/10.4324/9781003003762-3.

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Bilgic, Emrah, Mehmed Kantardzic, and Ozgur Cakir. "Retail Store Segmentation for Target Marketing." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20910-4_3.

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Fonseca, Jaime R. S. "Why does Segmentation Matter? Using Mixed Methodology to Identify Market Segments." In European Retail Research. Gabler Verlag, 2011. http://dx.doi.org/10.1007/978-3-8349-6235-5_1.

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Buchta, Christian, Sara Dolnicar, and Thomas Reutterer. "A stepwise procedure for perceptions-based segmentation of retail markets." In A Nonparametric Approach to Perceptions-Based Market Segmentation: Applications. Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-0549-8_9.

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Jewinly, Oliver, Mohd Zaki Zakaria, and Shuzlina Abdul-Rahman. "Customer Segmentation Analysis on Retail Transaction Data." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8515-6_19.

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Jha, Nilay, Dhruv Parekh, Malek Mouhoub, and Varun Makkar. "Customer Segmentation and Churn Prediction in Online Retail." In Advances in Artificial Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47358-7_33.

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Dogan, Onur, Abdulkadir Hiziroglu, and Omer Faruk Seymen. "Segmentation of Retail Consumers with Soft Clustering Approach." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51156-2_6.

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Conference papers on the topic "Retailer segmentation"

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Parmar, Dhimesh, Paresh Tanna, and Nikhat Raza. "Clustering and Optimization Techniques for Enhanced Segmentation in Retail." In 2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP). IEEE, 2024. https://doi.org/10.1109/ihcsp63227.2024.10960248.

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Majilya, Mouli, Giridhar Maji, Partha Ghosh, and Soumya Sen. "Online Retail Customer Segmentation using RFM Quantiles and Clustering Technique." In 2024 4th International Conference on Computer, Communication, Control & Information Technology (C3IT). IEEE, 2024. https://doi.org/10.1109/c3it60531.2024.10829407.

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P, Lakshmi. "AI-Driven Customer Segmentation for Enhanced Decision-Making in Retail Markets." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911803.

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Patibandla, Kiran Kumar, Rajesh Daruvuri, and Pravallika Mannem. "Enhancing Online Retail Insights: K-Means Clustering and PCA for Customer Segmentation." In 2025 3rd International Conference on Advancement in Computation & Computer Technologies (InCACCT). IEEE, 2025. https://doi.org/10.1109/incacct65424.2025.11011448.

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M, Hari Govind A., and S. Subburaj. "Comparative Analysis of Traditional and Deep Learning Based Customer Segmentation Models in Online Retail." In 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). IEEE, 2025. https://doi.org/10.1109/iccrtee64519.2025.11052920.

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M, Lavanya. "Improving Decision-Making in Retail: Employing DBSCAN Algorithm for Enhanced Customer Segmentation in Mall Environments." In 2025 International Conference on Frontier Technologies and Solutions (ICFTS). IEEE, 2025. https://doi.org/10.1109/icfts62006.2025.11031670.

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Borota-Tišma, Ankica, and Draga Tišma. "Optimization of sales channels through AI-driven CRM: Smart data analysis for better retail management." In XXI International May Conference on Strategic Management – IMCSM25 Proceedings, Bor, 30.05.2025. University of Belgrade - Technical Faculty in Bor, Bor, 2024. https://doi.org/10.5937/imcsm25700b.

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This research paper examines the integration of artificial intelligence into Customer Relationship Management (CRM) systems to optimize sales channels in the retail sector. By leveraging smart data analysis and sophisticated machine learning techniques, the study demonstrates how dynamic pricing, efficient inventory management, and targeted customer segmentation can be enhanced to drive operational efficiency and improve overall customer satisfaction. A simulated case study based on synthetic data illustrates the practical implementation of these AI-driven strategies, showcasing measurable imp
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Hershey, Bradley L., Rohan A. More, Mark Doyle, Eduardo Kortright, and Andreas S. Anayiotos. "Fast MRI Flow Imaging by Sparse Sampling and Segmentation." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59446.

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Clinical use of cardiac synchronized Magnetic Resonance Imaging has been limited because of long unacceptable acquisition times. BRISK (Block Regional Interpolation Scheme for k-space) is a rapid MRI technique, which employs temporal sparse sampling scheme that varies the sampling rate as a function of distance from the k-space center. Using combination of conventional segmentation and BRISK approach, a new rapid phase contrast cine approach named FAST was investigated. FAST technique samples contiguous regions of k-space using a segmentation factor, just as in conventional segmentation, with
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Qing, Minuo, Emily X. Ding, and Robert J. Hou. "From U-Net to (U-Net) +, What Innovations Have We Made for the Treatment and Discovery of Breast Cancer?" In 13th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132212.

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Artificial Intelligence (AI) has achieved remarkable performance in the field of medical image analysis, particularly in tasks such as object detection, segmentation, and classification. In this paper, we introduce a solution for automatic breast cancer diagnosis based on the U-Net architecture, which we call (U-Net)+. The novel (U-Net)+ is designed to handle both segmentation and classification tasks within a signal framework. We retained the original U-Net architecture due to its strong learning capabilities and its advantages in semantic segmentation. Notable, we incorporated fully connecte
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Xu, Chenliang, Richard F. Doell, Stephen Jose Hanson, Catherine Hanson, and Jason J. Corso. "Are Actor and Action Semantics Retained in Video Supervoxel Segmentation?" In 2013 IEEE Seventh International Conference on Semantic Computing (ICSC). IEEE, 2013. http://dx.doi.org/10.1109/icsc.2013.56.

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