Customer Relationship Management in Retail Using Double Association Rule
Journal: International Journal of Emerging Trends in Engineering Research (IJETER) (Vol.8, No. 5)Publication Date: 2019-10-15
Authors : Rahmat Abadi Suharjo; Antoni Wibowo;
Page : 1620-1625
Keywords : Customer Relationship Management; Double Association Rule; Product Based; Data Mining; FP-Growth.;
Abstract
Retail is one of the industries that has very high competition. Many retail industries have increased so that there is high competition among retailers. The competition in the retail industry is centered on the struggle for consumers. Consumers are one of the main pillars for the survival of a company. Customer relationship management is a strategy to maintain customer loyalty. To maintain consumer loyalty by knowing consumer shopping habits. Market basket analysis is used to analyze the shopping habits of consumers. This paper used Market Basket Analysis with the Double Association rule method. Double association rule is used because, a single association rule cannot cover the desired results. The results of this study are recommendations for product layout and product bundling recommendations. These recommendations are implemented to increase customer loyalty so that retail revenue also increases. 71.1% of respondents agreed with the proposed implementation of increasing income and customer satisfaction.
Other Latest Articles
- A Unique Secure Multimodal Biometrics-Based User Authenticated Key Exchange Protocol for generic HIoT Networks
- Information Flows in Hydraulic Structures
- A Comparative Study on K-Means Clustering and Agglomerative Hierarchical Clustering
- The Role of Local and Regional Conflicts of the Influential Dynasties in lack of Development of Shushtar in Afshareyeh and Zandiyeh Periods
- Classification Performance for Credit Scoring using Neural Network
Last modified: 2020-06-15 16:05:13