Collaborative Filtering in an Offline Setting Case Study: Indonesia Retail Business

Author(s):  
Hamid Dimyati ◽  
Ramdisa Agasi
2021 ◽  
Vol 39 (8) ◽  
Author(s):  
Rocio Gonzalez Martinez ◽  
Ramón Carrasco ◽  
Cristina Sanchez Figueroa ◽  
Diana Gavilán

Gaining customer loyalty has become one of the main objectives of all companies. Retailers, especially the online ones, have the advantage of knowing their customers’ historical purchase data, which provides them with an understanding of the customers’ buying patterns. A widely-used tool in strategic marketing and customer loyalty is segmentation based on the traditional Recency, Frequency and Monetary (RFM) model. Subsequently, the fuzzy RFM model proved to be an improvement on the traditional RFM model. There has been a change in the retail customer profile, with the growth of a new cluster, the “One-Shot Customer”, new customers that buy from a retailer just once and never come back. In response to this change, the fuzzy RFM model has been modified to include a new dimension capturing Length or Duration. This study presents the new fuzzy RFMD model (Recency, Frequency, Monetary and Duration model), which can be used to better identify that new, large group of customers. The paper also provides a case study based on an e-commerce clothing retailer. Its customer database was segmented using the k-means algorithm and the Isolation Forest algorithm was applied to identify and correctly treat possible anomalies. The Customer Lifetime Value and the weights for the RFMD attributes were calculated by applying the Analytic Hierarchy Process (AHP) model. Results reveal the improvement that the weighted fuzzy RFMD model offers to retailers, enabling them to detect the One-Shot Customers and thus optimize their strategic marketing plans.


Heliyon ◽  
2019 ◽  
Vol 5 (6) ◽  
pp. e01796
Author(s):  
Omotayo Olubiyi ◽  
Garrett Smiley ◽  
Henry Luckel ◽  
Ralph Melaragno

2014 ◽  
Vol 989-994 ◽  
pp. 5090-5093
Author(s):  
Wei Xiong ◽  
Man Zhang

Distribution of logistics plays an important role in the modern market, and the distribution of retail has its own unique characteristics and needs. The economy market of China has been developed with an amazing speed. But there are weakness and risks in the market compared with the developed countries, thus it need time and practice to increase the management level of economy market in China. Since the development of the market will bring risks and anti-changes to business, enterprises should prepared for the challenge. The paper analyzed successful cases of retail business to provide advices for retail business in backward areas to prepared for market challenge and risks in order to promote the development of local retail business in backward areas in China.


2019 ◽  
Vol 6 (3) ◽  
pp. 245
Author(s):  
Christina Deni Rumiarti ◽  
Bagas Ryant Setiawan ◽  
I Dewa Made Pranata Wiana

<p>Persaingan global menuntut setiap bisnis melakukan inovasi dalam pemanfaatan sistem dan teknologi informasi (SI/TI) untuk meningkatkan nilai tambah. Alur informasi yang tidak berjalan optimal dapat menjadi kendala bagi bisnis. Terkait hal tersebut, permasalahan yang kemudian menjadi isu penting diantaranya adalah potensi kerugian akibat ketidaksesuaian data stok di sistem inventori dengan stok aktual, serta prioritas pengembangan sistem informasi yang belum terencana dengan matang. Permasalahan tersebut mendorong perlu adanya perencanaan yang matang dan terukur untuk mencapai visi-misi perusahaan. Penelitian ini mengambil studi kasus PT. Gramedia Asri Media yang merupakan salah satu bisnis ritel terbesar di Indonesia. Alur metodologi dalam studi ini terdiri dari analisis bisnis internal, analisis lingkungan bisnis eksternal, analisis lingkungan SI/TI internal, dan analisis lingkungan SI/TI eksternal. Metode yang digunakan untuk menganalisis lingkungan bisnis internal adalah <em>internal value chain</em>, dan <em>Critical Success Factor</em> (CSF), sementara itu analisis PESTLE, <em>five forces</em>, dan <em>eksternal value chain</em> diaplikasikan untuk menganalisis lingkungan bisnis eksternal. Metode yang digunakan untuk menganalisis lingkungan internal SI/TI adalah Portofolio McFarlan, sementara itu studi literatur dan observasi digunakan untuk melakukan analisis lingkungan eksternal SI/TI. Dengan menggunakan metodologi Ward dan Peppard ini, dihasilkan <em>roadmap</em> SI/TI yang selaras dengan kebutuhan bisnis serta dapat dibangun dalam jangka waktu 4 tahun.</p><p><em><strong>Abstract</strong></em></p><p><em>Global competition requires every business innovates their systems and information technology (IS/IT) to increase their value. The better the information runs, the wider the value increases. Related to that, some problems becoming important matter are potential losses due to the discrepancy of stock data in the inventory system with actual stock, and the priority of information systems development that have not been well planned as well. This situation encourages the need of measurable planning to achieve the company's vision and mission. This study took a case study of PT. Gramedia Asri Media, one of the largest retail business in Indonesia. The methodology applied in this study consists of external business analysis, internal business analysis, external IS/IT analysis, and internal IS/IT analysis. The methods assessed to analyze the internal business are the internal value chain, and the Critical Success Factor (CSF), while the PESTLE, five forces, and external value chain analyzes are applied to analyze the external business environment. Furthermore, the method used to analyze the internal environment of IS / TI is the McFarlan Portfolio, while the literature and observation studies are used to conduct analysis of the IT external environment. Assessing the Ward and Peppard methodology, an IS/IT roadmap is aligned with business needs and can be developed within 4 years.</em></p>


Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1836
Author(s):  
Rocío G. Martínez ◽  
Ramon A. Carrasco ◽  
Cristina Sanchez-Figueroa ◽  
Diana Gavilan

In the field of strategic marketing, the recency, frequency and monetary (RFM) variables model has been applied for years to determine how solid a database is in terms of spending and customer activity. Retailers almost never obtain data related to their customers beyond their purchase history, and if they do, the information is often out of date. This work presents a new method, based on the fuzzy linguistic 2-tuple model and the definition of product hierarchies, which provides a linguistic interpretability giving business meaning and improving the precision of conventional models. The fuzzy linguistic 2-tuple RFM model, adapted by the product hierarchy thanks to the analytical hierarchical process (AHP), is revealed to be a useful tool for including business criteria, product catalogues and customer insights in the definition of commercial strategies. The result of our method is a complete customer segmentation that enriches the clusters obtained with the traditional fuzzy linguistic 2-tuple RFM model and offers a clear view of customers’ preferences and possible actions to define cross- and up-selling strategies. A real case study based on a worldwide leader in home decoration was developed to guide, step by step, other researchers and marketers. The model was built using the only information that retailers always have: customers’ purchase ticket details.


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