scholarly journals Multi Clustering Recommendation System for Fashion Retail

Author(s):  
Pierfrancesco Bellini ◽  
Luciano Alessandro Ipsaro Palesi ◽  
Paolo Nesi ◽  
Gianni Pantaleo

AbstractFashion retail has a large and ever-increasing popularity and relevance, allowing customers to buy anytime finding the best offers and providing satisfactory experiences in the shops. Consequently, Customer Relationship Management solutions have been enhanced by means of several technologies to better understand the behaviour and requirements of customers, engaging and influencing them to improve their shopping experience, as well as increasing the retailers’ profitability. Current solutions on marketing provide a too general approach, pushing and suggesting on most cases, the popular or most purchased items, losing the focus on the customer centricity and personality. In this paper, a recommendation system for fashion retail shops is proposed, based on a multi clustering approach of items and users’ profiles in online and on physical stores. The proposed solution relies on mining techniques, allowing to predict the purchase behaviour of newly acquired customers, thus solving the cold start problems which is typical of the systems at the state of the art. The presented work has been developed in the context of Feedback project partially founded by Regione Toscana, and it has been conducted on real retail company Tessilform, Patrizia Pepe mark. The recommendation system has been validated in store, as well as online.

2021 ◽  
Vol 11 (6) ◽  
pp. 2491
Author(s):  
Claudia C. Tusell-Rey ◽  
Ricardo Tejeida-Padilla ◽  
Oscar Camacho-Nieto ◽  
Yenny Villuendas-Rey ◽  
Cornelio Yáñez-Márquez

In the tourism industry it is common that the information obtained from customers can be varied, dispersed, and with high volumes of data. In this context, the automatic analysis of information has been proposed through electronic customer relationship management, which refers to marketing activities, tools and techniques, delivered with the use of electronic channels for the specific purpose of locating, building and improving long- term relationships with customers, to enhance their individual potential. In this paper, we refer to the analysis of information in three aspects: customer satisfaction, the study of customer behavior and the forecast of tourist demand. Specifically, we have created a novel dataset comprising the non-verbal preference assessment of tourists who are clients of the Sol Cayo Guillermo hotel belonging to the Melia hotel chain, in Jardines del Rey, Cuba. Then, by applying Computational Intelligence algorithms to this dataset, we achieve segment customers according to their non-verbal preferences, in order to increase their satisfaction, and therefore the client profitability. In order to achieve a good performance in the realization of this task, we have proposed two modifications of the Naïve Associative Classifier, whose results are compared with the most relevant computational algorithms of the state of the art. The experimentally obtained values of balanced accuracy and averaged F1 measure show that, by clearly improving the results of the state-of-the-art algorithms, our proposal is adequate to successfully use electronic customer relationship management in the tourist services provided by hotel chains.


2014 ◽  
Vol 978 ◽  
pp. 244-247 ◽  
Author(s):  
Yi Wang ◽  
Hao Yuan Ou ◽  
Jian Ming Zhang

Electronic commerce recommendation system can effectively retain customers, effective means to improve the electronic commerce system sales. This paper first analyzes the E-commerce recommender system based on ontology, and applies it to the clothing e-commerce website customer relationship management and personalized commodity recommendation; semantic structure through ontology has to commodity recommendation. The paper presents design and implementation of E-commerce recommendation system based on ontology technology so as to effectively improve customer satisfaction.


Author(s):  
Othman Boujena ◽  
Kristof Coussement ◽  
Koen W. de Bock

Customer relationship management (CRM) is becoming a very hot topic nowadays in academia and business environments. Indeed, companies are constantly searching for new innovative ways to create or maintain their competitive advantage. Due to the recent advances in Internet and technology, CRM predictive analytics is becoming an important tool in the toolset of the marketer. It is the practice of using the huge volumes of historical customer data to predict future customer behavior. This chapter introduces the reader to the shift towards a data-driven customer centricity approach, where marketers act upon what they know, rather than upon what they think.


2018 ◽  
Vol 6 (2) ◽  
pp. 380
Author(s):  
El Ghoumari Mohammed Yassine ◽  
Daif Abderrahmane ◽  
Reda Moulouki ◽  
Houda Jihal ◽  
Mohamed Azzouazi

Respati ◽  
2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Ahmad Zarkasih ◽  
Kusrini Kusrini ◽  
Sudarmawan Sudarmawan

INTISARIPeranan internet sebagai suatu bentuk teknologi informasi sangat penting bagi instansi/lembaga yang ingin tetap bertahan/bersaing untuk suatu kemajuan, maka dari itu instansi/lembaga tersebut harus mampu beradaptasi dengan teknologi informasi ini sehingga dapat mendukung instansi/lembaganya. Tujuan penelitian ini yaitu menganalisis fitur website UIN dengan menggunakan metode Costumer Relationship Management (CRM), karena metode ini digunakan untuk membantu pihak universitas dalam mengelolah hubungan dengan mahasiswa, dosen dan masyarakat..Hasil survey observasi dan wawancara digunakan dalam menganalisis Fitur Website Universitas Islam Negeri Raden Fatah Palembang untuk menghasilkan berupa mockup dari hasil analisa berupa fitur-fitur yang akan diterapkan dalam pengembangan website UIN berdasarkan metode Customer Relationship Management (CRM). hasil dari penelitian ini juga akan berupa rancangan fitur-fitur pada website UIN yang dapat diterapkan oleh perusahaan untuk lebih berinteraksi secara aktif dengan pelanggan dan meningkatkan kualitas pelayanan bagi pelanggan.. Dengan bantuan dari framework dynamic of CRM dan melakukan strategi CRM dengan sistem rekomendasi baru, dari strategi CRM tersebut maka ditemukan tujuan baru yang lebih dinamis seperti konsep fitur bimbingan, menampilkan fitur data alumni, fitur produk hukum bagi kebutuhan pengguna, fitur informasi seminar dan kegiatan kampus yang akan membantu operasional serta sarana komunikasi, maka dari kondisi inilah kebutuhan teknologi akan menjadi lebih ringan.Kata Kunci : Customer Relationship Management (CRM),  website, fiturAbstractThe role of the Internet as a form of information technology is very important for institutions / institutions that want to stay / compete for a progress, therefore the agency / institution must be able to adapt to this information technology so that it can support the institution / institution. The purpose of this research is UIN website feature feature by using Relationship Management (CRM) method, because this method is used to assist university in managing relationships with students, lecturers and community.The results of observation and interview surveys are used in analyzing the Website Features of Raden Fatah Palembang State Islamic University to generate a mockup of analysis results in the form of features that will be applied in UIN website development based on Customer Relationship Management (CRM) method. the results of this study will also be the design of features on UIN website that can be applied by the company to more actively interact with customers and improve the quality of service for the customer. With the help of the dynamic of CRM framework and performing CRM strategy with new recommendation system, from the CRM strategy, new dynamic goals such as counseling feature feature, alumni data feature, legal product feature for user needs, seminar information feature and campus activities which will help the operational and communication facilities, then from these conditions the needs of technology will become lighter.Key Word : Customer Relantionship Management (CRM), Websites, Features


2018 ◽  
pp. 1895-1912
Author(s):  
Othman Boujena ◽  
Kristof Coussement ◽  
Koen W. de Bock

Customer relationship management (CRM) is becoming a very hot topic nowadays in academia and business environments. Indeed, companies are constantly searching for new innovative ways to create or maintain their competitive advantage. Due to the recent advances in Internet and technology, CRM predictive analytics is becoming an important tool in the toolset of the marketer. It is the practice of using the huge volumes of historical customer data to predict future customer behavior. This chapter introduces the reader to the shift towards a data-driven customer centricity approach, where marketers act upon what they know, rather than upon what they think.


2018 ◽  
Vol 23 (5) ◽  
pp. 423-436 ◽  
Author(s):  
Irene Cheng Chu Chan ◽  
Davis Ka Chio Fong ◽  
Rob Law ◽  
Lawrence Hoc Nang Fong

2018 ◽  
Vol 7 (2) ◽  
pp. 180
Author(s):  
Wiyanto Wiyanto ◽  
Fajar Butsianto ◽  
Karsito Karsito

Information technology is rapidly developed in this century that impact to various aspects of the organization really need information technology to support the performance and everyday business processes. In health services, information technology is required to process and storage the patient medical records, so that the patient's medical record is well preserved, and competitive advantage can be obtained between patient and polyclinic. The application of Customer Relationship Management (CRM) approach can be developed by implementing information system of medical record history to get new patient and retain existing patient, improving relationship with patient and maintaining patient loyalty as well as supporting the company/organization to provide excellent service to customers in real time through the advantage of information technology. The aims of this research are to understand patient medical record by CRM approach and Unified Modeling Language (UML) for system design, system validation using Forum Group Discussion (FGD), and using software testing Model ISO 9126. The result of this research are Medical Record History Information System and the result of system validation with FGD is 100% accepted, the result of system test using Model ISO 9126 is good with success rate 82,86%, so it can give contribution to polyclinic.


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